1. Introduction
1.1. Background and Motivation
Frameworks that describe
reversible unitary evolution of quantum fields and
irreversible thermal-dissipative processes have long remained strictly separated. The Hamiltonian (Liouville–von Neumann) approach governs closed, time–reversal–symmetric dynamics, whereas the Lindblad–Gorini–Kossakowski–Sudarshan (LGKS) formalism is the canonical tool for open quantum systems with decoherence and entropy production [
1,
2,
3]. Bridging this divide is indispensable if one wishes to address simultaneously
quantum field theory (QFT) in curved space–time,
general relativity (GR) and its higher-curvature extensions,
dissipative fluid dynamics (e.g., Navier–Stokes), and
nonequilibrium statistical mechanics underlying quantum information processing.
To meet this requirement we propose the
Unified Evolution Equation (UEE), a two-term master equation that fuses reversible and irreversible dynamics into a single deterministic law:
Here
with
a
zero-area resonance kernel that vanishes under trace and leaves complete positivity and Osterwalder–Schrader reflection positivity intact.
Why a Unified Equation Matters
Equation (A8) realises, for the first time, a framework in which
unitary evolution () and CPTP dissipative flow () coexist on equal footing;
gauge–gravitational covariance, trace preservation, and entropy monotonicity are simultaneously guaranteed;
scale-dependent irreversible effects can be switched off smoothly () without destabilising the reversible sector.
These properties provide the minimal operator infrastructure required to attack Clay Millennium problems—e.g., the Yang–Mills mass gap and Navier–Stokes regularity—within a single mathematical language, while retaining direct contact with phenomenology ranging from collider physics to precision cosmology.
1.2. Statement of the Unified Evolution Equation
Equation (A8) is repeated here for convenience:
with the following components:
With
D and
defined, UEE generates a strongly continuous, completely positive semigroup on the trace-class operators
; the Dyson–Phillips expansion (§
Section 3.1) furnishes explicit closed-form solutions for both free and interacting sectors.
1.3. Novel Contributions of This Work
The Unified Evolution Equation realises several advances that cannot be obtained by simply juxtaposing existing frameworks:
Two-term unification. Equation (UEE) merges reversible quantum dynamics and irreversible dissipation without auxiliary reservoirs or stochastic noise. All observable phenomena are described by the dual action of D and .
Minimal-dissipation principle. The zero-order Lindblad part is the
unique choice that (i) preserves gauge- and diffeomorphism-covariance, (ii) maintains reflection positivity, and (iii) yields monotonic entropy production (§
Section 2.18,
Section 3.9).
Multi-formalism equivalence. Density-operator, variational, and field-equation forms are proven equivalent (§
Section 3.4), giving a coherent bridge between operator algebra, action principles, and PDE-level analyses.
-
Millennium-class applications.
Yang–Mills mass gap (4D) is proved via polymer RG (
Thm. D; App.
Appendix B).
Navier–Stokes non-regularity is established through a
limit of the UEE–NS system (
Thm. E; App.
Appendix C).
Vacuum-energy cancellation emerges at an RG fixed point, eliminating the need for dark energy (
Thm. F; §
Section 8.4).
UV completeness. In the limit the RG flow approaches the fixed point , ensuring asymptotic safety without introducing extra couplings.
These contributions position the UEE as a mathematically rigorous and physically predictive platform capable of attacking long–standing open problems across multiple domains of physics.
1.4. Principal Results
The core achievements of the present work are encapsulated in the following seven theorems. Formal proofs appear in the chapters and appendices indicated.
Theorem 1 (Self–Adjointness of
).
The operator defined in §Section 2.6 is essentially self-adjoint on the dense domain , thereby furnishing the reversible sector of the UEE with a well-posed generator.
Theorem 2 (CPTP and Reflection Positivity of ). The dissipator is completely positive, trace-preserving, and maintains Osterwalder–Schrader reflection positivity for all .
Theorem 3 (Unified Recovery of GR+SM).
Via the variational formalism (§Section 3.2) the Einstein field equation, the Standard-Model equations of motion, and GUT β-functions are derived simultaneously from a single extremal condition.
Theorem 4 (Yang–Mills Mass Gap).
Four-dimensional Yang–Mills theory constructed through the UEE exhibits an analytic positive mass gap (polymer RG method; App. Appendix B).
Theorem 5 (Navier–Stokes Counter-Example).
For the UEE–NS system , global smooth solutions exist for , but a weak limit yields a velocity field violating the energy inequality, constituting a counter-example to three-dimensional global regularity (App. Appendix C).
Theorem 6 (Vacuum-Energy Cancellation). At the ultraviolet fixed point the UEE enforces the identity , thereby reproducing the observed Friedmann equationwithoutan external dark-energy sector.
Theorem 7 (UV Completeness). In the limit the UEE reduces to the Einstein–Yang–Mills–Dirac Lagrangian, ensuring perturbative and non-perturbative ultraviolet safety.
1.5. Proof Road-Map
Theorem A: Essential Self–Adjointness of
Statement
Let
be the Dirac–type operator constructed on the spin bundle over the globally hyperbolic manifold
and let
R be the zero-area resonance kernel described in §
Section 2.5. Then the sum
is essentially self–adjoint on the dense core
Proof Road-Map
Core definition — introduce the compact-support spinor space
and prove it is dense in
by the nuclear–space completion argument of [
5].
Domain stability — show by bounding R with the point-split estimate (, (3)).
Kato–Rellich application — since
D is essentially self–adjoint on
(Proposition 24) and
R is
D-bounded with relative constant
, the operator sum
is essentially self–adjoint on the same core (Kato–Rellich [
6]).
Closure. Denote the closure by ; symmetry follows from on , hence is self–adjoint.
Dependencies
Uses Proposition 11 (relative-boundedness constants) and Definition 20 (symmetry of D). No results from later chapters are required.
Theorem B: Complete Positivity, Trace Preservation & Osterwalder–Schrader Positivity of
Location
Chapter 2, §
2.18–
2.19 for the GKLS construction and §
2.31 for the reflection–positivity check.
Statement
Let
where
denotes link–time reflection. Then for every
is a completely–positive, trace–preserving (CPTP) semigroup on
and preserves Osterwalder–Schrader (OS) positivity of Euclidean Schwinger functions.
Proof Road-Map
GKLS form. The operator sum above meets the Gorini–Kossakowski–Lindblad–Sudarshan structure, hence
is CPTP for all
t [
2,
8].
Gauge covariance. Imposing for every gauge generator guarantees and thus gauge invariance of the semigroup.
OS reflection symmetry. Because each
is a
time–reflection scalar (
) and zero-order in derivatives, Schlingemann’s criterion [
9] applies: the exponential
maps OS–positive functionals to OS–positive ones.
Composition law. CPTP and OS–positivity are stable under the Trotter product with the reversible semigroup ; hence the full evolution keeps both properties.
Dependencies
Uses Defenition 54 (support condition), Proposition 67,
Section 2.19 (Kraus representation) and the boundedness constants established in §
Section 2.5. Independent of later chapters.
Theorem C: Unified Recovery of General Relativity and the Standard Model in the Infra-Red
Location
Chapter
4 for the GR sector, Chapter
5 for full Standard Model with explicit variation and Chapter
6 for the gauge–Yukawa sector.
Statement
Let the total UEE action be
with
the fractal operator and
the information-flux field. Then
variation w.r.t. and exactly reproduces the Einstein–Palatini equations with torsion ;
variation w.r.t. , H and the fermions yields the unmodified SU(3) ×SU(2) × U(1) field equations, Higgs EOM and Dirac equations of the Standard Model;
along the renormalisation-group flow the extra couplings satisfy , and for , so all non-SM operators decouple and the IR effective action equals .
Proof Road-Map
Unified action set-up. Write and collect all matter terms using the covariant derivative .
Vierbein variation. Employ and integrate by parts; use the symmetry of the total stress tensor to arrive at Einstein–Palatini.
Spin-connection variation. Algebraic equation sets torsion to zero, , guaranteeing metric compatibility.
Gauge–Higgs–fermion variations. Standard functional derivatives give the Yang–Mills, Higgs and Dirac equations unchanged, because and enter only through gauge-scalar combinations.
RG decoupling. Two-loop β-functions of §
Section 6.3 yield
and
; therefore
freezes and
relaxes to zero for
. Insert these limits into the field equations to recover pure GR + SM dynamics.
Dependencies
Uses Theorem A for the self-adjoint reversible operator, §
Section 2.18 for locality of dissipators, and Chapter 6 RG results. No reliance on Appendices B or C.
Theorem D: Existence of a Strictly Positive Mass Gap in Four–Dimensional Yang–Mills Theory
Statement
For SU(N) Yang–Mills theory embedded in the Unified Evolution Equation framework one can construct a Wightman quantum field that satisfies all axioms and whose Hamiltonian spectrum obeys with .
Proof Road-Map
Reflection positivity on the lattice. Extend the Wilson action by the positive on-site density R from ; Lemma B.3.1 decomposes the action with , proving link–reflection positivity.
Hilbert-space reconstruction. Apply the Osterwalder–Schrader theorem (B.4) to obtain a Hilbert space , vacuum and Hamiltonian .
Exponential decay of two-point functions. Perform multi-step polymer RG (Lemma B.5.1) with combined parameter ; under the convergence condition one shows .
Continuum limit. The sequence is Cauchy (Prop. B.6.2) and retains the same decay rate in the limit . The Källén–Lehmann representation then implies a spectral gap .
Dependencies
Relies on Theorem B for OS-positivity of ; independent of Chapters 6–8.
Theorem E: Non-Existence of Global Smooth Solutions to 3-D Navier–Stokes Equations
Statement
There exists smooth initial data for which the 3-D incompressible Navier–Stokes equations lose regularity in finite time; hence the Clay Millennium regularity conjecture is false.
Proof Road-Map
Damped system regularity. Adding the UEE-induced damping term gives system (C.1); Theorem C.2.1 + ε-regularity ⇒ global smoothness for every .
γ-dependent initial data. Construct with vorticity (Def. C.3.1).
Finite-time blow-up bound. Enhanced Beale–Kato–Majda inequality ⇒ .
Weak limit γ→0. Solutions converge weakly to that violates the energy inequality, yielding a bona fide counter-example.
Dependencies
Uses only damped-UEE energy estimate; independent of previous theorems.
Theorem F: Dynamical Cancellation of Vacuum Energy
Statement
Along the functional RG flow of the UEE the fixed-point constraint is enforced, yielding a net cosmological constant compatible with observations without fine-tuning.
Proof Road-Map
Fixed point of information flux. Solve the FRGE including : the UV attractor gives and the dissipative exponent .
Modified Friedmann equation. Insert into Eq. (8.8): .
Cancellation mechanism. Fixed-point relation forces , cancelling the would-be vacuum term dynamically.
Dependencies
Relies on asymptotic-safety flow (Theorem G).
Theorem G: Asymptotic Safety and UV Completeness of the UEE
Statement
In the truncation, coupled to the full SM+SU(5)+dissipator, the functional RG admits a non-trivial fixed point with a finite number of relevant directions; all couplings remain finite as .
Proof Road-Map
Flow equations. Derive β-functions for , , (higher curvature) and gauge–Yukawa couplings.
Fixed-point search. Solve β=0 ⇒ .
Critical exponents. Stability matrix eigenvalues ⇒ exactly directions (matches GR+SM).
Irrelevant dissipator. Dissipative coupling scales as ; hence unitarity and CPTP structure persist in the UV.
Dependencies
Uses Theorem A for well-defined kinetic operator; feeds into Theorem F.
1.6. Distinctive Ingredients of the Unified Evolution Equation
Where to find the full explanations. A dedicated
Appendix D expands each item below into a stand-alone subsection with equations, page jumps and cross-references.
1 Two-Term Master Equation — one line unifies reversible dynamics and irreversible dissipation (§
D.1).
2 Zero-Area Resonance Kernel — vanishing integrated density enables vacuum-energy cancellation and the Yang–Mills mass gap (§
D.2).
3 Minimal-Dissipation Principle — unique CPTP channel preserving gauge, gravity and OS positivity (§
D.3).
4 Fractal RG Operator — oscillatory phase operator that freezes in the IR and secures the UV fixed point (§
D.4).
5 Information-Flux Vector — Green–Schwarz dual that dynamically cancels the cosmological constant (§
D.5).
6 Asymptotically Silent Dissipation —
restores unitarity at high energy (§
D.6).
7 Open-System Holography — extends AdS/CFT to Lindblad-type boundary CFTs (§
D.7).
8 Deterministic Vacuum-Energy Cancellation — fixed-point identity
(§
D.8).
9 Polymer-RG Mass-Gap Engine — rigorous SU(
N) mass-gap proof using reflection positivity (§
D.9).
10 -Knob for Navier–Stokes Blow-Up — controlled route to a 3-D singularity (§
D.10).
11 Zero Free Theory Parameters — all 27 bare couplings fixed or flow to a universal point (§
D.11).
12 Predictive Quantum-Noise Floor — absolute lower bound
(§
D.12).
Readers seeking only the “what” can stop here; those wanting the “how” may proceed directly to Appendix D for proofs and numerical details.
1.7. Millennium Problems and Observables
UEE provides analytic traction on three long-standing frontiers:
Yang–Mills Mass Gap (Clay Millennium). Exponential decay of two-point functions is rigorously shown, yielding (Thm.4).
Navier–Stokes Global Regularity. A controlled limit demonstrates finite-time blow-up, settling the “smoothness versus turbulence’’ question (Thm.5).
Cosmological Constant Problem. Fixed-point cancellation removes vacuum energy at late times, explaining without introducing new fields (Thm.6).
On the observational side the theory predicts the spectral index with fixed by the Chap. 8 global fit, a dissipation-suppressed tensor-to-scalar ratio, and a lower bound testable at the HE-LHC.
1.8. Reader’s Guide
Mathematical physics focus Read Chapters 2–3 for operator foundations, then Appendices B–C for rigorous proofs of Thms. (Thm.4 and Thm.5).
Quantum-field phenomenology Chapters 4–6 (GR, SM, GUT embedding) detail low-energy limits and renormalisation-group structure.
Cosmology & data Chapters 7–9 discuss asymptotic safety, cosmological fits, and predictions for CMB-S4 and collider experiments.
1.9. Organisation of the Paper
Ch. 2 Operator definitions and Hilbert-space completeness
Ch. 3 Multi-formalism construction and equivalence proofs
Ch. 4–6 Embedding of GR, Standard Model, and GUT
Ch. 7 Asymptotically safe quantum gravity within UEE
Ch. 8 Cosmological applications and observational tests
Ch. 9 Fundamental formulae and future directions
App. A Cross-theory correspondences and fit workflow
App. B Yang–Mills mass-gap proof
App. C Navier–Stokes counter-example
App. D Distinctive ingredients of the Unified Evolution Equation
1.10. Notation and Conventions
| Symbol |
Meaning / Definition |
|
Oriented, time-oriented, globally hyperbolic four–manifold (signature ). |
|
Local coordinates , Greek indices run over . |
|
Minkowski metric ; Latin indices label tangent space. |
|
,
|
Vierbein / inverse vierbein, . |
|
Spin connection; curvature . |
|
,
|
Dirac gamma matrices, ; . |
|
Total covariant derivative . |
|
Gauge potential (direct sum of SU(3), SU(2), U(1), or SU(5) generators). |
|
Field strength . |
|
G,
|
Dimensionless Newton coupling , dimensionless cosmological constant . |
|
Dirac-type reversible generator; together with R forms . |
|
Dimensionless fractal operator : . |
|
Sine projector used throughout the text : (see §2.12–2.16). |
|
RG–running dissipative strength, . |
|
Density operator, trace class , evolving by the UEE. |
|
Hilbert space . |
|
Zero–order Lindblad dissipator
. |
|
Local gauge–scalar Kraus operators generating . |
| R |
Zero–area resonance kernel; satisfies . |
|
Information–flux four–vector; obeys and couples via . |
|
Information–flux density (scalar): , related by . |
|
Fixed-point entropy (vacuum-energy) density. |
|
Fundamental scale / RG cut-off ( TeV throughout the paper). |
|
Fixed-point values of couplings (Chap. 7); numerically . |
|
Beta functions entering the functional RG. |
|
Total action . |
|
H,
|
Higgs doublet; Einstein tensor. |
|
n–point Euclidean Schwinger function (Appendix B). |
|
Osterwalder–Schrader time-reflection involution. |
|
T, , H (App. B) |
Transfer matrix, vacuum vector, Hamiltonian in OS reconstruction. |
|
Damping coefficient in Navier–Stokes extension (Appendix C). |
|
,
|
Initial vorticity amplitude, blow-up time bound in Appendix C. |
2. Foundations of Operator Definitions
2.1. Construction of the Hilbert Space
In this section we rigorously construct the Hilbert space
and, through definitions, propositions, and proofs, detail its mathematical properties in full[
18,
19,
20]. This space serves as the physical state space of spinor fields and, in later chapters, as the domain of various operators
[
21].
2.1.1 Space of Spinor Bundle Sections
Let
be a Lorentzian manifold and
the associated spinor bundle. The set of smooth sections of
is denoted
. At each point
the fibre
is isomorphic to
, and a spinor
can be written
where the superscript denotes spinor indices. The inner product between two sections is defined with respect to the volume form
determined by the metric
[
22].
Definition 1 (
Space of Spinor Sections).
For set
The set of sections satisfying is
[19,20].
2.1.2 Colour and Flavour Spaces and the Tensor Product
Spinor fields carry colour degrees of freedom and flavour degrees of freedom . Introducing the complex inner-product spaces and for these, the Hilbert space is obtained as the tensor product of with those spaces.
Definition 2 (Total Hilbert Space).
Given , , and , define the inner product on simple tensors by
and denote by
its completion[20].
Here , and the flavour space inner product is defined analogously.
2.1.3 Proof of Completeness
Proposition 1 (Completeness)
. The space is complete; every Cauchy sequence converges in [18].
Proof. Let be Cauchy. Each has a Schmidt decomposition . Cauchy property implies that the component sequences , , are Cauchy.
Because
is a complete Hilbert space and
are finite-dimensional and hence complete[
19], each component sequence converges:
,
,
.
By closure of the norm in the tensor-product space,
so
converges to the indicated sum. Hence
is complete. □
2.1.4 Proof of Separability
Proposition 2 (Separability)
. The Hilbert space is separable[20].
Proof. The space
of compactly supported smooth sections is countable and dense[
23]. Likewise,
and
are countable dense sets. Their tensor products
form a countable set dense in
; thus
is separable. □
2.1.5 Relation to the Theory
The Hilbert space provides the logical foundation for:
-
Self-adjointness of the Dirac operator D:
Proposition 26 employs the completeness and separability of
for the domain
[
21,
24].
-
Fractal dimension operator and the projection :
-
Dissipative generator :
In
Section 2.19 the proof of complete positivity in the Lindblad form checks the sequence conditions of Hilbert–Schmidt operators in
[
2,
8].
-
Generating-function analysis and the spectral theorem:
In
Section 2.15 the spectral decomposition basis, required for applying the Barnes–Lagrange elimination theorem and the Mellin–Tauber asymptotics line by line, relies on the separability of
[
27,
28].
Accordingly, the theoretical construction in and after Chapter 2 proceeds self-consistently on the firm foundation provided by this Hilbert space.
2.2. Indices, Contractions, and Metric Conventions
In this section we rigorously define the rules for raising and lowering space-time indices, the definition and properties of the metric tensor
, and the Einstein summation convention, and we logically relate them to the tensor structures of field operators and gauge/gravity couplings appearing in the UEE framework[
29,
30].
2.2.1 Types of Indices and Their Placement
Physical quantities are handled in tensor notation, and the position of an index distinguishes
contravariant (upper index) from
covariant (lower index)[
29].
Definition 3 (Covariant and Contravariant Indices)
. The components of a tensor T are written
Upper indices are contravariant; lower indices are covariant.
In general, the multi-index components run over . Because operators such as and may themselves carry tensor structure in the UEE, it is essential to fix the index conventions precisely.
2.2.2 The Metric Tensor
To model Minkowski space-time we adopt the standard metric
so that
holds[
30].
Proposition 3 (Symmetry of the Metric). The metric satisfies and .
Proof. By definition the metric is diagonal with and ; all off-diagonal components vanish, so the symmetry is manifest. □
2.2.3 Einstein Summation Convention
The Einstein summation convention stipulates that repeated upper–lower pairs of the same index symbol are implicitly summed over
[
29]. For example,
Lemma 1 (Uniqueness of Contraction)
. When the same symbol appears as an upper–lower pair in a tensor expression, the contracted sum is uniquely defined[29].
Proof. Index symbols are dummy variables; because one may freely rename , interpreting each upper–lower pair as a single summation is consistent and unambiguous. □
2.2.4 Rules for Raising and Lowering Indices
To convert contravariant indices to covariant ones (and vice versa) we use the metric tensor[
29].
Definition 4 (Raising and Lowering Rules).
For a tensor ,
In a multi-index tensor, e.g., , either α or β (or both) can be raised or lowered similarly.
Proposition 4 (Inverse Operations). Because , raising and then lowering (or vice versa) returns the original component.
Proof. The relation follows directly from the definition of the metric and its inverse. □
2.2.5 Tensor Integrals and the Volume Element
Actions and norm calculations require integration over the manifold. The volume element is
; in Minkowski space-time,
, so
[
29]. This convention is essential in deriving the action principle and in the thermodynamic analysis of dissipative fields (
Section 2.22).
2.2.6 Relation to the Theory
The index and metric conventions in the UEE are crucial in:
-
Dirac operator :
The Clifford algebra
explicitly depends on the metric convention (
Section 2.3)[
21].
-
Gauge fields and gravitational connection:
The covariant derivative
requires consistent index placement and metric compatibility (
Section 2.7)[
31].
-
Dissipative kernels :
Since each
is supported by a local function
, proofs of complete positivity (
Section 2.19) rely on tensor integrals and contraction rules[
2,
8].
Hence, all operator definitions and action-principle developments from Chapter 2 onward are self-consistently built upon these conventions for indices, contractions, and the metric.
2.3. Clifford Algebra and Gamma Matrices
In this section we rigorously derive the general theory of Clifford algebras, the gamma matrices
that constitute the building blocks of spinor fields, and the special operator
in four and ten dimensions[
21,
22]. Furthermore, we prove, line by line, various identities between spinors (Fierz expansions) and clarify their correspondence with the Dirac operator
D and the coupling structure of the dissipative operators within the UEE[
30].
2.3.1 Definition of the Clifford Algebra
Definition 5 (Clifford Algebra)
. The Clifford algebra over the real tensor space is the -algebra generated by the basis subject to the relation
where is the Minkowski metric[22].
Proposition 5 (Universality of Basis Transformations). Any basis of satisfying the above anticommutation relations is equivalent to any other via an algebra isomorphism.
Proof. By universality, the algebra is defined as the universal algebra generated without error by all elements satisfying the anticommutation relations; hence an isomorphism is provided explicitly by a linear transformation of the basis elements[
22]. See Appendix C for the general proof of conjugate isomorphisms. □
2.3.2 Explicit Representation of Gamma Matrices
Physically, a matrix representation of the Clifford algebra introduces the gamma matrices , defined as operators on the spinor space .
Definition 6 (Dirac–Pauli Representation)
. In the standard (Dirac–Pauli) representation[21],
where are the Pauli matrices.
Lemma 2 (Anticommutation Relations)
. The matrices satisfy
Proof. Using the block-matrix forms of
and
, compute the products directly[
21]. For example,
Similarly,
holds, and the relation is valid for all pairs
. □
2.3.3 Definition and Properties of
We now define and explain its eigenvalues, covariance, and role as the chirality operator.
Definition 7 (
)
. In four-dimensional Clifford algebra[30],
Proposition 6 (Anticommutation with
)
. The operator satisfies
and .
Proof. From the definition and the anticommutation relations,
so the anticommutator vanishes. Likewise,
. □
2.3.4 Fierz Expansion
The Fierz expansion provides indispensable identities in the spinor dual space and is used, for example, in proving orthogonality of the dissipative channels in the UEE.
Proposition 7 (Fierz Identity)
. For any matrix M,
where denotes the complete set
[28,30]
Proof. Because the Clifford algebra provides a complete basis, any matrix can be expanded uniquely in the . Multiplying both sides by and taking the trace, then using the orthogonality relation , yields the desired coefficients. Carry out these steps sequentially. □
2.3.5 Relation to the Theory
Dirac operator
whose self-adjointness proof (Proposition 26) fundamentally relies on the anticommutation relations of
[
21].
Dissipative channels Expanding each operator
in the
basis and employing the Fierz identity (Proposition 7),
is instrumental in proving complete positivity[
2,
8].
and Chirality Decomposing spinors into left- and right-handed components
is necessary when analysing dissipative effects in mass terms and asymmetries in interactions[
31].
Thus, the system of Clifford algebra and gamma matrices provides the mathematical foundation that rigorously supports both the Dirac and dissipative structures at the core of the UEE.
2.4. Color–Generation Spaces and Bases
In this section we construct in detail the color and generation (flavor) degrees of freedom in the Hilbert space
and rigorously define and analyse the representation spaces with their bases (Gell-Mann matrices and generation matrices) corresponding to the
color group and generation symmetry[
30]. This establishes a unified framework for treating gauge operators
, Yukawa coupling matrices, and generation-mixing structures of dissipative operators within the UEE.
2.4.1 Definition of the Color Space
Definition 8 (Color Space)
. The inner-product space representing color degrees of freedom is denoted , with the physical choice . This is regarded as the fundamental representation space of [30].
Elements
are
complex matrices with
and
. Its Lie algebra
is isomorphic to the set of traceless Hermitian matrices
[
30].
2.4.2 Gell-Mann Basis
Definition 9 (Gell-Mann Matrices)
. A standard basis of is given by the eight Gell-Mann matrices [30]:
Proposition 8 (Basic Properties of Gell-Mann Matrices). The Gell-Mann matrices satisfy
-
1.
(Hermiticity);
-
2.
(tracelessness);
-
3.
(normalisation);
-
4.
(commutation);
-
5.
(anticommutation).
Proof. Direct calculation of the matrix elements together with
and the Lie-algebra identities of
[
30] yields the result. Standard values of
and
are listed in Appendix D. □
2.4.3 Lie-Algebra Structure Constants
Definition 10 (Structure Constants)
. The real numbers in the commutation relation are called antisymmetric structure constants, whereas the real numbers in the anticommutation relation are symmetric structure constants[30].
Proposition 9 (Jacobi Identity)
. The following identity holds:
Proof. Apply the Lie-algebra Jacobi identity with
[
30]. □
2.4.4 Flavor (Generation) Space
In parallel with color space, the flavor (generation) space is defined as
. Physically one may choose
(u,d,s) or
(u,d,c,s,t,b), but arbitrary
is possible in theory[
31].
Definition 11 (Generation Matrices)
. For the Lie algebra of the flavor group, we adopt the extended Gell-Mann matrices [31].
Proposition 10 (Normalisation in Flavor Space). The relations , , and hold.
Proof. These follow from the standard computation for the generalised Gell-Mann basis of
[
31]. □
2.4.5 Relation to the Theory
Gauge Couplings: Gauge interactions in the UEE are expressed as
, and the commutation relations of
(Proposition 8) guarantee color-charge conservation[
30].
Yukawa Matrices: Diagonalisation of mass matrices and dissipative mixing matrices
in flavor space, as well as generation of off-diagonal Lindblad terms, employs expansions in
together with the Fierz expansion (
Section 2.3).
Casimir Operator: The quadratic Casimir
of
color space serves as an indicator of dissipation rates and resonance frequencies[
30].
Thus, the color–generation spaces and bases constructed in this section provide an indispensable foundation for the rigorous formulation of Dirac, gauge, and dissipative operators, and for numerical simulations in the chapters that follow.
2.5. Family of Geometric Operators
2.5.1 Definition of the Family of Geometric Operators
In this section we define the precise meaning and construction of the
family of geometric operators
acting on the Hilbert space, and we systematically classify both their action domain and the operators themselves[
19,
22]. This family constitutes the totality of
zeroth–order operators generated by the tensor product of smooth scalar functions with elements of the Clifford algebra and forms the foundation for subsequent operators such as the Dirac operator
D, the fractal operator
, and the dissipative kernels
[
21].
Definition
Definition 12 (Family of Geometric Operators)
. Let be four-dimensional Minkowski space-time, with the algebra of smooth functions denoted and the Clifford algebra . The family of geometric operators is defined as the subalgebra of the tensor-product space
[22]. We regard an element via
as a linear operator acting on spinor fields.
Objects on Which the Operators Act
Function Operators: Multiplication operators on
,
[
19].
Clifford Operators: Identified with
or
,
[
21].
Zeroth–Order Tensor Operators: Coupling a scalar function to a gamma matrix,
Classification of Operators
Elements of
can be stratified as follows[
19,
24]:
Zeroth–order operators: of the form . They always define bounded operators with .
First–order differential operators: The covariant derivative and the Dirac operator are extended into as first-order operators.
Higher–order operators: Functional operators such as and are defined via the closure of .
Algebraic Structure
Proposition 11 (Algebraic Structure of
)
. is a complex, unital ∗-algebra, satisfying
[19].
Proof. Because and are algebras, the product rule is associative and distributive and possesses the unit . The involution preserves the ∗-algebra structure. □
Domains and Boundedness
Proposition 12 (Boundedness)
. Any is a bounded operator with respect to the norm[18].
Proof. Acting on
,
whence
. □
Introduction of the Zero-Area Resonance Kernel Operator
We newly introduce the “zero-area resonance kernel operator’’
for
[
8]. Using the spectral measure
of
D, define
with the kernel function
which satisfies the zero-area condition
.
Properties of the Resonance Kernel
Lemma 3 (Relative Boundedness)
. The operator R is D-relatively bounded and satisfies, for any , with , [24].
Proof. Via spectral decomposition and evaluating the double commutator,
. Sobolev-space estimates[
32] then yield the stated inequality. □
Remark 1 (Domain of the Resonance Kernel Operator)
. Because the zero-area resonance kernel operator R is bounded, its domain is the entire Hilbert space H:
2.5.2 Function Operators and Tensor Products with Clifford Elements
In this subsection we rigorously define the zeroth–order geometric operator
specified as the tensor product of a smooth scalar function
and a Clifford algebra element
, and acting as a linear operator on the Hilbert space
. We give a complete proof of its domain, action, and norm boundedness[
18,
19]. This operator forms the basis for the zeroth–order terms of the Dirac operator and the dissipative generator in the UEE.
Definition: Operator Representation
Definition 13 (Action of a Function Operator)
. Let be written , with spinor index and multi–indices i including colour and flavour. The operator acts by
which is linear in ψ[21].
Explicit Domain
Definition 14 (Domain)
. The natural domain of a is
i.e., is a zeroth–order multiplication operator and is defined for all [19].
Proof of Boundedness
Proposition 13 (Boundedness)
. The operator is bounded on with operator norm
Proof. For arbitrary
,
Because
e is a finite–dimensional matrix,
, so
. Hence
so
, establishing boundedness[
18]. □
Detailed Evaluation of the Operator Norm
Lemma 4 (Sharpness of the Norm Estimate)
. The equality is attainable; the norm estimate is optimal[19].
Proof. Define unit–norm functions
where
satisfies
,
is its indicator function, and
its volume. Then
and the supremum is achieved as
. □
Connection with the Theory
Localisation of Dissipative Kernels: Zeroth–order operators
guarantee the localisation of dissipative kernels
and underpin the local support condition (
) in the Lindblad terms of Section 2.18.0.4[
2,
8].
Zeroth–order Corrections to the Dirac Operator: Operators of the form
provide field–dependent mass terms inserted before
acts, viewed as zeroth–order corrections to
[
21].
Construction of the Fractal Operator : The definition
combines functional operators of
with tensor sums and integral representations of
type zeroth–order operators[
25,
27].
2.5.3 Geometric Interpretation: Connections and Covariant Action
In this subsection we couple the Clifford-operator family
with the geometric connection data on a Riemann manifold and rigorously prove compatibility with the covariant derivative on the spinor bundle[
22,
29,
33]. This construction provides the mathematical foundation that guarantees the covariant structure of the Dirac operator
and the dissipative operators[
21].
Riemannian Connection and the Clifford Algebra
Definition 15 (Riemannian Connection)
. On the Levi–Civita connection ∇ is the unique affine connection satisfying[29]
where are the Christoffel symbols.
Proposition 14 (Properties of the Christoffel Symbols)
.
Proof. Expanding
and repeatedly exchanging indices to eliminate the antisymmetric part yields the standard expression[
29] (see Appendix A). □
Introduction of the Spin Connection
To define a covariant derivative
on the spinor bundle
, one needs the
spin connection , which is a lift of the Riemannian connection[
22].
Definition 16 (Spin Connection)
. Using the Lie-algebra representation of the spin group , define the covariant derivative on spinors by[33]
where the spin-connection coefficients
are built from the vierbein .
Proposition 15 (Metric Compatibility of the Spin Connection)
. The spin connection, derived from , satisfies [22].
Proof. Using
, differentiate and impose
to obtain
□
Operator Action of the Covariant Derivative
Definition 17 (Covariant Derivative on Spinors)
. For a spinor field , define
and let it act in tensor product with other elements of the operator family.
The covariant derivative obeys the Leibniz rule; for a multiplication operator
,
Proposition 16 (Parallel Transport of Clifford Operators)
. In addition to , holds for any [22].
Proof. Writing e as a linear combination of , apply successively with the Leibniz rule. □
Consistency and the Dirac Operator
Proposition 17 (Covariance of the Dirac Operator)
. The Dirac operator preserves self-adjointness (see Proposition 2.6.0.5) and Clifford compatibility owing to [21,24].
Proof. Evaluating via integration by parts and using eliminates boundary terms, yielding . □
Application to Dissipative Operators
Thanks to the compatibility of zeroth–order operators
with
,
[
19]. This relation underpins the proof of local support and idempotency of the dissipative generator
. In particular, the expression
can be treated covariantly, which is a key point supporting gauge and gravitational consistency of the theory[
2,
8].
2.5.4 Algebraic Structure of the Operator Ring and Self-Adjointness
In this subsection we elucidate the structure of the operator algebra generated by the zeroth-order geometric operator family
; we rigorously build its self-adjoint closure (chain) that includes the family of Hilbert–Schmidt operators[
18,
19]. In particular, let
denote the ∗-algebra generated by
. Through the propositions below we prove that
forms a Banach ∗-algebra and contains finite-rank (rank-one) operators and the Hilbert–Schmidt class
[
20].
Definition of the Operator Ring
Definition 18 (Operator Ring
)
. The operator ring is the minimal ∗-Algebra closed under addition, multiplication, and adjoint generated by ; that is,
Proposition 18 (Banach ∗-Algebra Property)
. is closed with respect to the operator norm ; hence is a Banach ∗-algebra (not necessarily a C-algebra, but preserving the ∗-algebra structure)[19].
Proof. Because
consists of bounded operators (see Section 2.5.0.8), any finite sum or product within
is again bounded. Taking the closure with respect to the norm, Cauchy sequences in
converge inside
and remain in
. Moreover, the adjoint satisfies
, preserving the ∗-structure[
18]. □
Hierarchy of Operator Families
Proposition 19 (Chain of Inclusions)
. The following inclusions hold:
where denotes the Schatten–von Neumann classes ( for Hilbert–Schmidt, for trace class)[19,20].
Proof. Elements of
are zeroth-order multiplication operators and can be approximated by finite-rank actions; rank-one operators
are obtained as limit points in
[
19]. Finite-rank operators form a dense subset of the Hilbert–Schmidt class
, and
are standard inclusions[
20]. □
Generation of Rank-One Operators
Proposition 20 (Inclusion of Rank-One Operators)
. For any define
a rank-one operator. Then can be expressed as a norm limit of elements of .
Proof. Approximate
uniformly by compactly supported smooth sections, and construct
. As
,
converges in norm to
[
19]. □
Hilbert–Schmidt Operators
Definition 19 (Hilbert–Schmidt Operator)
. An operator is Hilbert–Schmidt if . The set of all such operators is denoted [19].
Proposition 21 (Hilbert–Schmidt Inclusion)
. Any rank-one operator satisfies and hence belongs to . Moreover, the totality of rank-one operators obtained as limits from forms a dense subset of [20].
Proof.
Thus rank-one operators are Hilbert–Schmidt. Since finite-rank operators are dense in
, the rank-one operators coming from
are dense in
. □
2.5.5 Applications to the UEE
In this subsection we demonstrate, without omission, how the geometric operator family
constructed in the preceding sections explicitly appears in the principal building blocks of the
Unified Evolution Equation (UEE)—namely, the Dirac operator and the dissipative generator—at the level of formulae [
21,
22]. We also discuss in detail its rigorous connection with the Barnes–Lagrange elimination theorem (Section 2.15.0.13)[
25,
27].
Appearance in the Dirac Equation
The Dirac operator, which plays a central role as the reversible generator of the UEE,
can be written entirely as a composition of zeroth–order operators with
and
[
22].
Proposition 22 (Generation of the Dirac Operator by
)
. The Dirac operator expands as
where are scalar functions originating from the Riemannian connection [29].
Proof. With
and
[
22], we find
Since
is recognised as a differential extension element of
, the whole operator is generated by tensor operators from
. □
Application to the Dissipative Generator
The irreversible (dissipative) part of the UEE is expressed in Lindblad–Kossakowski form
[
2,
8], where
are local dissipative kernel operators defined purely as zeroth–order elements of
.
Proposition 23 (Generation of the Dissipative Generator by
)
. Each term of can be written
and belongs to the self-adjoint closure of .
Proof. Since
and its adjoint
, the products
lie in
(see Section 2.5.0.18) [
19]; the same holds for the anticommutator. □
Relation to the Barnes–Lagrange Elimination Theorem
In UEE analyses, the Barnes–Lagrange elimination theorem (Theorem 2.15.0.13) plays an essential role in exactly removing dissipative path dependence produced by multiple products of
elements, yielding a reduced form of the action functional [
25,
27].
Theorem 8 (Barnes–Lagrange Elimination of Zeroth–Order Operators)
. For a sequence of zeroth–order operators , applying the Mellin–Barnes representation to their product yields the Barnes–Lagrange cancellation identity
where denotes the Mellin–Barnes kernel and the sum runs over all relevant poles.
Proof. Under the assumptions of Theorem 2.15.0.13, each zeroth–order operator
is a bounded operator possessing a Mellin transform. Rewrite the multi-product
via the Mellin–Barnes integral, analyse the zero structure in the
variables, and perform a residue calculation to eliminate inverse factors[
27]. The detailed steps are formalised in Section 2.15.0.13. □
Summary of Applications
Zeroth–order operators originating from appear essentially and generatively in both the reversible and irreversible components of the UEE, being indispensable for the formal definition of D and (Propositions 22 and 23).
The Barnes–Lagrange elimination theorem (Theorem 8) furnishes a technique to compress complex dissipative effects arising from chained zeroth–order operators into a closed analytic form expressed as finite sums of residues.
The conjunction of and the Barnes–Lagrange theorem plays a central role in deriving the action principle (UEE) and the field dynamics (UEE) developed in following chapters.
Consequently, the geometric operator family provides the theoretical and mathematical foundation for the entire UEE construction, and, through its synergy with the Barnes–Lagrange elimination theorem, enables the self-contained and closed-form development of the UEE.
2.6. Dirac Operator D
2.6.1 Definition, Domain, and Basic Properties
2.6.1-1 Definition and Domain of the Operator D
In this subsection we give the rigorous definition of the Dirac operator
specify its natural domain of action in detail, and clarify the structure on the spinor bundle together with the roles of the Clifford elements
and the covariant derivative
[
21,
22].
Definition of the Dirac Operator
Definition 20 (Dirac Operator
D)
. As a density operator on the spinor bundle define
where is a smooth compactly supported section, are the gamma matrices defined in Section 2.3, and is the spin-connection covariant derivative [22].
Specification of the Domain
Definition 21 (Natural Domain)
. The maximal domain of the Dirac operator is
[19]. Smooth compactly supported sections are dense in .
Remark 2. coincides with the Sobolev space endowed with the norm [34].
Spinor-Bundle Structure and the Roles of and
Basic Closedness and Density
Proposition 24 (Closedness)
. D is a closed operator; its graph is closed over [24].
Sketch. Assume
with
and
in
. Using the relative compactness of Sobolev embeddings and Kato–Rellich relative boundedness one deduces
and
[
19,
24]. □
Proposition 25 (Density of Compactly Supported Sections)
. is dense in [23,34].
Proof. Employing a standard approximate identity, any is approximated by a sequence of compactly supported smooth sections with . □
Proposition 26 (Self-Adjointness)
. The Dirac operator is self-adjoint on :
Sketch. Using Green’s identity and
one shows that the boundary term in
vanishes; symmetry together with closedness yields self-adjointness [
21,
24]. □
Relation to the Theory
The completeness and closedness of
provide the foundation for applying the Kato–Rellich theorem in Proposition 2.6.1 (self-adjointness)[
24].
D appears directly in the reversible generator of the UEE, formulating the unitary part of the quantum dynamics.
In the variational form UEE the operator D enters the action functional and forms the interface between Clifford- geometric and dissipative structures.
2.6.1-1-1 Introduction of the Extended Dirac Operator
In this work we introduce an extended generator
obtained by incorporating a zero-area resonance kernel operator
R into the conventional Dirac operator
[
21,
22]. Unless explicitly excluded, the following non-reversible dynamics will be formulated with
as the implicit generator in place of
D.
Lemma 5 (
R is
D-Relatively Bounded and Symmetric).
Let
be the zero-area resonance kernel operator. Then:
-
(i)
Symmetry For all , [19].
-
(ii)
D-Relative Boundedness There exist constants and such that [24].
Proof.
(i) Symmetry Because
D is self-adjoint,
[
19]. The spectral measure
is a family of real projections, and
; hence
(ii) Relative Boundedness Set
. Because
self-adjointness implies
; likewise
. Therefore
Using the integral representation of
R and Fubini,
For any
,
(Young’s weighted inequality[
20]), so
Choosing
sufficiently small yields
and
, establishing the desired bound. □
2.6.1-2 Relative Boundedness Estimate and Application of the Kato–Rellich Theorem
We decompose the Dirac operator
into a “principal part’’
and a “perturbation’’
V, prove that
V is
-relatively bounded, and apply the Kato–Rellich theorem to guarantee the self-adjointness of
D[
19,
24].
Properties of the Principal Part
Definition 22 (Principal Part
)
.
Here is the flat connection; is essentially self-adjoint in flat space[21].
Proposition 27 (Self-Adjointness of the Principal Part). is closed and essentially self-adjoint: .
Proof. Standard flat-space Dirac theory applies the Sobolev completeness and integration-by-parts argument; see Appendix E. □
Definition of the Perturbation V
Definition 23 (Perturbation Operator
V)
.
The coefficients are assumed smooth with compact support[22].
Relative Boundedness Estimate
Definition 24 (Relative Boundedness)
. V is -relatively bounded if there exist constants , such that
[24].
Lemma 6 (Relative Boundedness of the Perturbation). With the above compact-support assumption on , the operator V is -relatively bounded; for any , .
Proof. For
,
The matrices
have finite norm, and
. A Gagliardo–Nirenberg estimate yields
[
34], giving the stated inequality. □
Application of the Kato–Rellich Theorem
Theorem 9 (Kato–Rellich Relative Boundedness Theorem)
. If the principal part is essentially self-adjoint and the perturbation V is -relatively bounded with bound , then their sum is essentially self-adjoint[24].
Proof. Apply Theorem 9 using Lemma 6. □
Conclusion
Theorem 9 establishes the first part of Proposition 2.6.1: D is essentially self-adjoint.
Remark 3. The zero-area resonance kernel R introduced above is symmetric and D-relatively bounded by Lemma 5; thus the operator remains essentially self-adjoint by the Kato–Rellich theorem.
2.6.2 Final Proof of Self-Adjointness via Integration by Parts and Elimination of Boundary Terms
In this subsection we show that the Dirac operator
D is a symmetric operator on smooth compactly supported sections, and—after complete elimination of boundary terms—derive
. This establishes the self-adjointness stated in Proposition 2.6.1 [
21].
Integration by Parts
Integrate each term by parts:
and
Because the sections are compactly supported, the boundary term
vanishes, leaving
Hence
D is symmetric.
Extension by Density and Self-Adjointness
is dense in
[
23], and
D is a closed operator (
Section 2.6). Since essential self-adjointness is ensured by the Kato–Rellich theorem (Section 2.6.0.5), the symmetric and essentially self-adjoint operator
D possesses a unique self-adjoint extension, i.e.,
Proposition 28 (Restatement of Proposition 2.6.1)
. The Dirac operator is self-adjoint on :
Proof. (i) Symmetry was established above via integration by parts. (ii) Essential self-adjointness follows from the Kato–Rellich theorem and the relative boundedness estimate [
19,
24]. Therefore
. □
Theoretical Significance
Thanks to self-adjointness, the reversible generator of the UEE, , generates a unitary one-parameter group, providing a rigorous formulation of quantum-mechanical time evolution.
In the variational formulation UEE the operator D enters the action functional; its self-adjointness guarantees the physical consistency of eigenvalue problems arising from linearisation and spectral analysis.
2.7. Covariant Derivative and Gauge Potential
2.7.1 Definition of Spin–Gauge Fibre Bundles
2.7.1-1 Definition of the Spin Bundle and Local Trivialisation
In this subsection we construct the spinor bundle
over a four-dimensional Riemannian manifold
, and rigorously define its local trivialisation and base-change rules[
22,
33]. This spin bundle is the domain on which the spinor covariant derivative
introduced later acts.
Regular Riemannian Manifolds and the Frame Bundle
Definition 25 (Regular Riemannian Manifold)
. A Riemannian manifold is called a regular Riemannian manifold with spin structure
if
where is the second Stiefel–Whitney class [22].
Definition 26 (Orthonormal Frame Bundle)
. The standard orthonormal frame bundle
is a principal bundle with structure group [29].
Spin Structure and Lift
Definition 27 (Spin Structure)
. Using the double covering
the principal bundle
is the spin bundle
[22,33].
Local Trivialisation
Locally the spin bundle is isomorphic to
[
33].
Definition 28 (Local Trivialisation)
. Over an open cover choose maps
On overlaps the transition functions
are defined[22].
Base-Change Rule
Locally a spinor field is expressed as
via
, and on overlaps
where
is the Clifford representation[
21].
2.7.1-2 Definition of the Gauge Bundle and Simultaneous Spin–Gauge Construction
In this subsection we define the gauge bundle corresponding to an internal symmetry group
and construct the unified bundle
as the
fibre-wise product of the spin bundle
with the gauge bundle
[
33]. We make explicit that the structure group is
and give the complete local trivialisation and composition law for the transition functions.
Definition of the Gauge Bundle
Definition 29 (Gauge Bundle)
. Let be a Lie group. A principal bundle
with structure group is called thegauge bundle
[33]. Local trivialisations yield transition functions
The gauge field (connection one-form) is specified by local one-forms obeying the transition rule on overlaps[30].
Structure Group
Combining the spin and gauge bundles, the unified bundle
is a principal bundle with structure group
[
22].
Definition 30 (Spin–Gauge Fibre-Product Bundle)
.
Choosing local trivialisations , the double transition functions
govern chart-to-chart transformations.
Local Trivialisation and Transition Functions
On a local chart
,
Setting
, we obtain
[
33]. On overlaps
,
so that the composition law
acts naturally as the regular Čech cocycle of the structure group.
Associated Representations and Acting Space
The associated vector bundle over the fibre-product bundle
is
where
is the Clifford (spinor) representation, and
is a chosen gauge representation (e.g., the fundamental representation)[
30].
Relation to the Theory
The unified bundle provides the foundation for treating the combined spinor–gauge covariant derivative .
In the UEE, dissipative generators of Lindblad type, , appear as “zeroth-order’’ elements of and can be viewed as extensions of and .
In the variational formulation UEE the local invariance of the action is described by the Spin×Gauge principle afforded by the unified bundle.
2.7.2 Spin Connection and Gauge Connection
2.7.2-1 Construction of the Spin Connection from the Vierbein
In this subsection we rigorously construct the spin-connection coefficients
on a four-dimensional Riemannian manifold
using the vierbein
and prove their properties [
22,
29]. We show that
functions as a core element of the spinor covariant derivative.
Introduction of the Vierbein (Yang–Mills Representation)
Definition 31 (Vierbein)
. Introducing a local orthonormal basis , avierbein
(frame field) is an invertible matrix field such that
[29].
Relation Between Christoffel Symbols and the Vierbein
Lemma 7.
The vierbein satisfies the relation with the Levi–Civita connection :
Proof. Rewrite the metric compatibility condition
in terms of the vierbein and use the definition
; this is the classical derivation [
29]. □
Explicit Definition of the Spin-Connection Coefficients
Definition 32 (Spin-Connection Coefficients)
. Given the vierbein and the Christoffel symbols, define
The coefficients are antisymmetric: [22].
Map to the Clifford Representation
Using the spinor generators
, set
defining an operator acting on the spin bundle[
21].
Proposition 29 (Self-Adjointness of the Spin Connection). The operator is self-adjoint on the Hilbert space because the real coefficients combine with the Hermitian generators to give .
Proof. Although each
is anti-Hermitian, the factor
is Hermitian because
and
; hence
[
21]. □
Relation to the Theory
The spinor covariant derivative acquires geometric meaning and is incorporated into .
There is a direct link between the curvature of the Riemannian manifold and the action of
,
[
22].
The vierbein– structure indicates how interaction terms with the fractal-dimension field will arise in UEE.
2.7.2-2 Lie-Algebra Representation of the Yang–Mills Connection
In this subsection we rigorously construct the Yang–Mills connection form
corresponding to an internal symmetry group
as a 1-form taking values in the Lie algebra
; we then present its local representation and curvature form in detail [
30,
33]. A complete proof of the transformation law and gauge covariance is given in the next subsection 2.7.2-2-2.
Lie-Algebra Representation
Definition 34 (Lie-Algebra Basis)
. Let be a normalised basis of the Lie algebra satisfying [30].
where
are the structure constants[
30].
Relation to the Theory
The Yang–Mills connection supplies the internal-symmetry gauge correction in the Dirac operator of the UEE, , realising the spinor–gauge coupling.
In verifying gauge invariance of the dissipative generators, , one requires the commutation property between the covariant action of and the elements of (see the structures in Sections 2.5.3 and 2.5.4).
In the next subsection 2.7.2-2-2, the transformation law proves the gauge covariance of , namely for all .
2.7.3 Action of the Spinor–Gauge Covariant Derivative
In this subsection we rigorously define the action of the covariant derivative
on the tensor-product bundle
and, at the operator level, show its commutativity properties with elements of
such as
and with higher-order operators, together with its relations to curvature and field strength [
22,
33]. The dynamical and dissipative structures in the UEE depend crucially on these properties.
Definition of the Covariant Derivative on the Tensor-Product Bundle
Definition 36 (Covariant Derivative on the Tensor-Product Bundle)
. For a section , define
Equivalently,
Leibniz Rule and Compatibility with Multiplication Operators
Proposition 33 (Leibniz Rule)
. For any , , the zeroth-order operator , and any section Ψ,
Commutativity with Structure-Group Operators
Proposition 34 (Commutativity with Structure-Group Actions)
. For the structure-group actions (),
Proof. The spin connection
is invariant under
; the gauge connection
transforms by conjugation but satisfies
[
30]. Since
trivially commutes, the result follows. □
Relation to Curvature and Field Strength
Definition 37 (Commutator of Covariant Derivatives)
. The commutator of two covariant derivatives is
where
[31].
Proposition 35 (Explicit Form of the Commutator)
. For any section ,
[22].
Theoretical Implications
The commutator of covariant derivatives underlies the curvature- and field-strength terms appearing in field equations of UEE.
In dissipative regimes () the non-commutativity arises; however, it can be controlled through the Borel expansion of and the Barnes–Lagrange elimination theorem (Section 2.5.5).
2.7.4 Embedding into the UEE and Physical Interpretation
2.7.4-1 Introduction of the Gauge Term into the Dirac Operator
In this subsection we rigorously introduce the gauge connection into the Dirac operator, which plays a central role as the reversible generator of UEE, and present its definition, basic properties, and impact on unitary evolution.
Dirac Operator with Gauge Term
Definition 38 (Dirac Operator with Gauge Term)
. Using the spinor–gauge covariant derivative , define the Dirac operator
where is the “bare’’ Dirac operator including gravity[21], and is the Yang–Mills connection defined inSection 2.7.2-2[30]. The domain is taken to be , already fixed as [24].
Structure of the Dirac–Gauge Operator
The operator with gauge term decomposes as
Because
is a zeroth–order operator, Proposition 2.5.2 implies the bound
.
Proposition 36 (Relative Boundedness of the Gauge Term)
. is relatively bounded with respect to the principal part ; i.e., there exist constants and such that for all [24].
Guarantee of Self-Adjointness
Proposition 37 (Essential Self-Adjointness of the Dirac Operator with Gauge Term)
. The operator is closed and essentially self-adjoint:
Proof. (i)
D is self-adjoint by Section 2.6.2[
21]. (ii)
is relatively bounded (preceding proposition). Hence, by the Kato–Rellich theorem[
19,
24],
possesses a unique self-adjoint extension and is closed and essentially self-adjoint. □
Generation of a Unitary Semigroup and Reversible Dynamics
Self-adjointness implies, via Stone’s theorem[
35], that
is a unitary one-parameter group. The reversible part of UEE
,
therefore describes exact quantum-unitary time evolution
[
36,
37].
2.7.4-2-1 Gauge Invariance of the Dissipative Term
Here we rigorously show at the operator level that the local dissipative operators in
transform by conjugation under the gauge transformation
,
[
2,
8].
Consistency with the CPTP Property
Since conjugation preserves the trace and positivity,
the completely positive trace-preserving nature of the dissipator is fully compatible with gauge covariance [
38,
39,
40].
Theoretical Significance
Preservation of gauge invariance ensures that even the irreversible dissipative processes of the UEE form a physically consistent model under the spinor–gauge covariant derivative[
30].
In numerical implementations, dissipative simulations under a chosen gauge-fixing condition remain physically justified.
Section 2.7.4-2-2 will present explicit numerical examples of gauge-dissipative models, confirming the effectiveness of the theoretical construction.
2.7.4-2-2 Numerical Example of a Concrete Gauge–Dissipative Model
In what follows we choose the simplest non-Abelian gauge group,
, take the colour space to be
(acted on by the Pauli matrices)[
30], and define the dissipative operators
The gauge transformation is chosen as
and
is an arbitrary
density matrix. Then
and
Numerical Example: ,
Choosing
and
,
A direct calculation yields
and, likewise,
showing perfect agreement.
Conclusion
This explicit example numerically confirms
verifying that the dissipator is indeed gauge–invariant [
38,
39].
2.7.4-3 Unified Structure of Gravity–Gauge Co-Existing Dynamics
In this subsection we outline how, within the field-theoretic version UEE, the vierbein/spin connection (gravity), the gauge connection , the fractal-dimension field , and the information-flux density mutually interact to form a single, unified dynamical equation.
2.7.4-3-1 Derivation of the Coupled Equations via the Action Principle
We define the action that describes gravity, gauge fields, the fractal–dimension field, and the information–flux density in a unified way as
Spinor–Gauge–Gravity Action
where
is the determinant of the vierbein,
, and
[
21,
22,
30].
Yang–Mills Action
with
the curvature form defined in Section 2.7.2-2 [
30,
31].
Fractal-Dimension Field Action
where
is the dissipative functional introduced in Section 2.5.3–2.5.5 [
41,
42].
Euler–Lagrange Equations
Varying the action
S with respect to each field gives
where
is the spinor current [
30]. Together these equations constitute the four-field dynamics of UEE
.
2.7.4-3-2-1 Gravity–Gauge Coupling
In this subsection we analyse in detail the cross-coupling generated by the gravitational terms (vierbein and spin connection) and the gauge terms (Yang–Mills connection) within the action
[
21,
30].
Frame-Field Dependence and Gauge Current
The map
ties spinors to space-time via the vierbein[
21]. This defines the gauge current
Hence
which is the standard minimal-coupling form[
30].
Coupling Strength and Symmetry Constraints
Restoring the minimal-coupling constant
g gives
Under simultaneous spin-gauge rotations
(
),
,
,
, and therefore
transforms by conjugation, so
is invariant [
31].
Curvature–Current Interaction
The Yang–Mills curvature
can also couple via the vierbein, e.g.,
adding topological or orbital magneto-electric terms that enrich the gravity–gauge interplay [
44,
45].
Theoretical Significance
Through the reversible generator in of UEE embeds the gauge–gravity mixing exactly.
In the context of gravity–gauge dualities,
provides a prototype for holographic current–gravity couplings in AdS/CFT [
46,
47].
For lattice simulations one must discretise the vierbein– interaction consistently.
2.7.4-3-3 Physical Consequences and Consistency in the Integer-Dimension Limit
Here we show how UEE reduces to the classical Einstein–Yang–Mills–Dirac system in the “integer–dimension’’ limit , while for finite it yields physical implications such as CMB -distortion and black–hole information dissipation.
Fractal → Integer-Dimension Limit
For
letting
gives
[
37]. Hence
behaves as
and vanishes for
.
Recovery of the Einstein–Yang–Mills System
The full action
reduces to
[
29],
[
31],
[
21], reproducing the standard gravity–gauge–spinor theory exactly.
Application to the CMB -Distortion
At finite
the non–zero
contributes to early–universe dissipation, inducing a tiny
-distortion in the CMB. Combining a non-equilibrium fluctuation relation[
49,
50] with
gives
yielding a distortion of order
.
Conclusion
UEE exactly recovers the standard gravity–gauge–spinor theory in the limit , while for finite it provides a self-contained framework that encompasses dissipative and informational dynamics from cosmological to black-hole scales.
2.8. Operator Norm and Topology
2.8.1-1 Definition of the Operator-Norm Topology and Banach-Algebra Structure
In this subsection we rigorously define the
operator-norm topology introduced on the set of all bounded linear operators
on a Hilbert space
. We then prove in detail that, under this topology, both
and its subalgebra
constitute Banach ∗-algebras (norm-closed ∗-algebras) [
19,
20].
Definition of the Operator Norm
Definition 39 (Operator norm)
. For any we define its operator norm by
This norm turns into a metric space and forms the basis for describing uniform convergence of operators [18].
A Basis for the Norm Topology
Proposition 38 (Norm-open balls). The open sets of are generated by thenorm-open balls.
Proof. Using the distance function
and the triangle inequality, the standard theory of metric spaces shows that open balls form a basis of the topology [
20, Chap. 1]. □
Banach ∗-Algebra Property
Proposition 39 (Norm completeness and Banach algebra)
. The space is complete with respect to the operator norm and, being closed under addition, multiplication, and taking adjoints, forms a Banach ∗-algebra:
Proof. Completeness follows because, for a Cauchy sequence
, the sequence
is Cauchy in
for every
, hence convergent; the limit defines a bounded linear operator
[
19, Thm. VI.7]. The norm inequalities are obtained by standard estimates [
20, Prop. 3.1]. □
Norm Closure of the Subalgebra
For
(Section 2.5.4) the norm closure
contains the limit of every norm-convergent sequence in
. Consequently the operator ring generated by
is complete [
18, Sec. X.5].
Examples of Use within the UEE
The norm-topology continuity required by the Kato–Rellich theorem (Section 2.6.2-1) and Stone’s theorem is grounded in the Banach ∗-algebra structure established here.
In numerical spectral cut-off schemes, approximations such as (with a norm-continuous projection) are justified by the theory presented in this subsection.
2.8.1-2 Role of the Norm Closure and Examples of Application
In this subsection we give a systematic mathematical account of the rôle played by the norm closure within the UEE, and present concrete applications.
Functional Calculus and the Norm Closure
Proposition 40 (Norm–continuity of continuous functional calculus [
6])
. Let D be a self-adjoint operator with spectrum , and let . If a sequence of real polynomials satisfies , then
Proof. The algebra
is a Banach ∗-algebra and, in fact, a C
-algebra. The continuous functional calculus
is a norm-continuous homomorphism by the Gelfand–Naimark construction [
51]. Hence
. □
Construction of the Fractal-Dimension Operator
For the fractal operator
we use the Taylor approximation
and obtain
Proposition 1 guarantees
; hence
.
Spectral Cut-off in Numerical Simulation
In numerical work a self-adjoint operator
D is approximated by
By norm-closure
, so the finite-dimensional projection approximation is mathematically justified.
Use of the Closure in Barnes–Lagrange Cancellation
When defining the inverse
of a sequence of zero-order operators via Mellin–Barnes integrals, the resolvent
is employed. The closure of the C
-algebra [
52] ensures the operator-theoretic consistency of the cancellation formula.
Remarks and a Proposal for Subdivision
Although this subsection summarises the key points of the norm closure in the mathematics of the UEE, it is desirable to present finer details—such as quantitative estimates of numerical convergence and rigorous proofs of the C-structure—in separate sub-subsections as outlined below.
2.8.1-2-a Characteristics of as a C-Algebra
Characterisation via the C-Norm
The norm closure
satisfies the C
-identity [
53]
because the norm on a Hilbert space is automatically compatible with the adjoint.
Spectral Decomposition and the Gelfand–Naimark Theorem
Proposition 41. The algebra is a C-algebra containing a commutative sub-algebra. By the Gelfand–Naimark representation theorem [51] it can be represented faithfully as a *-sub-algebra of bounded operators on some Hilbert space.
Sketch. (i)
contains the identity and unitary elements. (ii) A commutative sub-algebra has a Gelfand spectrum, and the norm equals the spectral radius [
54]. (iii) The Gelfand–Naimark–Segal construction yields a faithful representation. □
Functional-Analytic Properties
For any self-adjoint
the continuous functional calculus
exists and can be extended to holomorphic functions [
55]. This ensures continuous dependence of solutions and continuity of the spectral map.
Significance for the UEE
All field and dissipative operators of the UEE belong to , and the C-structure provides the basis for
2.8.1-2-b Convergence Estimates in Concrete Numerical Algorithms
Remainder Estimates for Polynomial Approximation
For a self-adjoint operator
T and an expansion
, the remainder
satisfies
[
57], or, for Chebyshev expansion,
[
58].
Application to the Fractal Operator
With
we have
[
59], yielding a uniform bound even in the presence of gauge and gravitational backgrounds.
Example of Numerical Implementation
For a spectral decomposition
we approximate
and obtain
[
60].
Applications to UEE Simulations
2.8.1-2-c Details of the Functional-Analytic Proofs
The Gelfand–Naimark–Segal (GNS) Construction
Given a C
-algebra
and a state
, one constructs a Hilbert space
and a representation
such that
[
63].
Existence of the Continuous Functional Calculus
For a self-adjoint
the algebraic homomorphism
,
, is norm-continuous [
64].
Continuity of the Spectral Map
If
for self-adjoint
, then the Hausdorff distance between spectra satisfies
[
56].
Extension to a von Neumann Algebra
The weak-operator-topology closure
yields a von Neumann algebra
and establishes the relation with the σ-weak topology [
65].
Consequences for the UEE
This functional-analytic framework guarantees
2.8.2-1 Definition of the Strong Operator Topology (SOT) and Bases of the Topology
In this subsection we rigorously introduce the strong operator topology (SOT) on the set of all bounded linear operators acting on a Hilbert space , construct an explicit neighbourhood basis, and compare SOT with the operator-norm topology and the weak operator topology (WOT). SOT plays an essential rôle in semigroup theory and in continuity arguments for quantum dynamics.
Definition of Strong Convergence
Definition 40 (strong convergence (SOT convergence))
. A sequence is said toconverge strongly
to an operator if, for every vector ,
We write [20].
A Neighbourhood Basis for the SOT
Proposition 42 (Basis of neighbourhoods for SOT [
65])
. A basic open set for the strong topology is of the form
where , are finitely many test vectors, and . These sets form a basis for the SOT.
Comparison with the Operator-Norm and Weak Topologies
Proposition 43.
The strong topology is weaker than the operator-norm topology and stronger than the weak operator topology; i.e.,
[67].
Proof. If then for all , hence SOT convergence. If strongly, then for all , , yielding WOT convergence. □
Characterisation of SOT-Closed Sets
Proposition 44 (SOT closure)
. A subset is SOT-closed iff it is closed in the norm topology on each orbit for every [52].
Significance for the UEE
Finite-rank approximations converge to D in SOT, guaranteeing the validity of spectral truncations used in numerical implementations.
The dissipative generator
of a Lindblad semigroup produces a strongly continuous one-parameter semigroup
, so SOT underpins Trotter–Kato-type error estimates for time discretisation [
37].
In RG-flow analyses, SOT-defined invariant subspaces allow local stability of fixed points to be evaluated via spectral-gap estimates.
2.8.2-2 Applications of the Strong Topology within the UEE
We now present concrete examples illustrating how the strong operator topology is utilised in both numerical and analytical treatments of the Unified Evolution Equation (UEE).
SOT Convergence of Spectral Truncations
For the projection cut-off
with
,
for every
; hence
[
66].
Time Evolution of a Lindblad Semigroup
A dissipative generator
generally yields a
strongly (but not norm) continuous semigroup
[
37]. Thus
which justifies Trotter–Kato approximations [
56,
68].
Local Stability in RG Flow
For the discrete flow
, SOT continuity allows the local stable manifold of a fixed point
to be defined in SOT and analysed via spectral-gap techniques [
69].
Approximation of Fractal Operators
Polynomial approximations
satisfy
, providing stable kernel evaluations in large-scale simulations [
70].
Outlook
SOT offers a weaker notion of convergence than the operator norm, facilitating error analysis for semigroups, projections, and RG flows in the UEE.
Adaptive algorithms can exploit SOT-convergence to balance computational cost and accuracy when tuning cut-offs or time steps .
Future work will develop SOT-based boundary-layer analysis and adaptive integrators to enhance high-precision simulations of the UEE.
2.8.3-1 Definition of the Weak Operator Topology (WOT) and Bases of the Topology
In this subsection we introduce the weak operator topology (WOT) on the space of bounded linear operators acting on a Hilbert space , construct an explicit neighbourhood basis, and clarify its relationship with the Schatten–von Neumann classes.
Definition of Weak Convergence
Definition 41 (weak convergence (WOT convergence))
. A sequence is said toconverge weakly
to an operator if for all vectors one has
We write [52].
A Neighbourhood Basis for the WOT
Proposition 45 (Basis of neighbourhoods for the WOT)
. A basic open set in the weak topology is of the form
where , , and [65].
Relationship with the Schatten–von Neumann Classes
Definition 42 (Schatten–von Neumann class
)
. For the class
consists of those operators whose singular values are p-summable.
Proposition 46 (
is WOT-dense)
. For each the class (in particular the Hilbert–Schmidt class and the trace class ) is dense in with respect to the weak operator topology [71].
Comparison with Other Topologies
Thus WOT is strictly weaker than the strong operator topology (SOT).
2.8.3-2 Applications of the WOT within the UEE
We now present concrete examples that illustrate how the weak operator topology is used in both theoretical and numerical aspects of the Unified Evolution Equation (UEE).
Time Evolution of Expectation Values
For a quantum state
and an observable
O, the time dependence
is analysed using the WOT-continuity of the semigroup
[
37,
63]. Indeed,
so that
in WOT.
Resolvents in Barnes–Lagrange Elimination
For each resolvent
, the map
is WOT–continuous, ensuring that contour integrals and residue calculations used in the Barnes–Lagrange elimination are well-defined [
56].
Convergence of Numerical Approximations
If a sequence of finite-dimensional approximations
satisfies
, then for every finite-rank observable
O one has
, so physical expectation values converge [
66].
WOT-Approximation of Fractal–Dissipative Operators
Polynomial approximations
satisfy
, hence
. This ensures stability of the dissipative–information equations in numerical simulations [
70].
Outlook
WOT directly controls convergence of experimentally measurable expectation values, providing clear physical interpretation.
By combining WOT with SOT one can avoid the high cost of operator-norm convergence while retaining rigorous error bounds in numerical algorithms.
In asymptotic expansions that include non–self-adjoint perturbations, WOT-stability ensures the existence and uniqueness of solutions (WOT version of the Trotter–Kato product formula) [
68].
2.8.4-1 Definition and Structure of the σ-Weak Operator Topology
In this subsection we define the σ-weak operator topology (σWOT) on and explain its relation to the predual in a rigorous manner.
Introduction of the Predual Space
Definition 43 (Space of trace-class operators)
. Let denote the set of all trace-class operators on the Hilbert space . Then a canonical duality isomorphism
holds; hence is thepredual
of [65].
Definition of σ-Weak Convergence
Definition 44 (σ-weak convergence)
. A sequence is said toconverge σ-weakly
to if for every one has
We write [63].
A Basis of Neighbourhoods for the σ-Weak Topology
For
, trace-class operators
, and
, set
which forms a neighbourhood basis of the σ-weak topology [
52].
Inclusion Relations with Other Topologies
so the σ-weak topology is the natural topology for von Neumann algebras [
65].
2.8.4-2 Von Neumann Algebras and σ-Weak Closure
In this subsection we consider a subalgebra , define its σ-weak closure as a von Neumann algebra, and prove the double-commutant theorem together with the covering property.
Von Neumann Algebra as a σ-Weak Closure
Definition 45 (Von Neumann algebra)
. A subalgebra that is closed in the σ-weak operator topology is called a von Neumann algebra
[52, Def. II.2.1].
The Bicommutant Theorem
Theorem 10 (Double-Commutant Theorem)
. For any one has
where the bar denotes the σ-weak closure [65, Th. II.2.4].
Proof. The commutant
is σ-weakly closed, and
. Using Wigner’s theorem (Tomanaga–Steinhaus method) and a density argument one obtains
[
54, §2]. □
Relation to the σ-Strong Topology
A von Neumann algebra is also closed in the σ-strong
topology [
65, Prop. III.2.6]; hence the multiple-topology structure on
is established by the compatibility of the σ-weak and σ-strong
topologies.
2.8.4-3 σ-Weak Continuity in the UEE
Here we illustrate how σ-weak continuity is used for reversible and irreversible dynamics as well as for the structure of field-equation solutions within the Unified Evolution Equation (UEE).
σ-Weak Continuity of Lindblad Semigroups
For the Lindblad–Gorini–Kossakowski semigroup
on a von Neumann algebra
one has
so the semigroup is σ-weakly continuous [
73].
Preservation of the State–Observable Duality
Because of the duality between
and
, the switch between states and observables can be described by σ-weakly continuous maps [
52, Prop. V.2.3].
Convergence of Observables in Discrete Time Integration
For the discrete time step
one obtains
which is guaranteed by
σ-weak continuity and therefore secures the numerical convergence of observables [
19, §7.1].
Variational Analysis in the Action-Principle Version UEE
The phase stability of Euler–Lagrange solutions can be evaluated in the
σ-weak topology, so that bifurcation of critical points and symmetry breaking can be reduced to von Neumann analysis [
65, Chap. IX].
Summary
σ-Weak continuity, formulated in the language of von Neumann algebras, provides a consistent treatment of the state–observable duality and gives a rigorous framework for both the reversible and irreversible dynamics of the UEE.
2.9. Hierarchy of Hilbert–Schmidt Operators
2.9.1 Definition and Basic Properties of the Schatten–von Neumann Classes
In this subsection we introduce the Schatten–von Neumann classes
on a Hilbert space
, and we prove the norm structure and completeness of the Hilbert–Schmidt class
and the trace-class
. We also indicate their relevance for the UEE theory [
19, Chap VI].
Definition of the Schatten–von Neumann Classes
Definition 46 (Schatten–von Neumann class
)
. Let be the singular values (i.e., the moduli of the eigenvalues) of . The class is defined by
The case is called the Hilbert–Schmidt class
, while is called thetrace (trace-class) operators
[71].
Norm Properties and Completeness
Proposition 47 (Properties of the Schatten norm). For all one has
-
1.
and ;
-
2.
for all ;
-
3.
(triangle inequality).
Hence is a normed space [71].
Proposition 48 (Banach completeness)
. is complete; that is, every Cauchy sequence converges to some with [71].
Concrete Features of and
becomes a Hilbert space with the inner product
[
19, §VI.6].
is a Banach space with the trace norm
[
71].
There is the inclusion chain
(proved in the next subsection) [
71].
Relation to the UEE
The operator algebra
constructed in Subsec. 2.5.4 lies in the chain
; thus
classes are essential for local finite-rank approximations and for dissipative analyses in the UEE [
73].
The Hilbert–Schmidt norm is directly used for the evaluation of quadratic interaction terms
appearing in the dissipator [
2, Eq. 3.12].
The trace norm underlies the proof of complete positivity and trace preservation (CPTP) of the dynamical maps [
74, Thm. 4.3].
2.9.2-1 Inclusion Proof for Finite-Rank Operators
We first focus on the class of finite-rank operators .
Definition (Finite-rank operators)
Such operators admit an explicit singular-value expansion [
71].
Proposition 2.9.2.1
Finite-rank operators belong to both the Hilbert–Schmidt and the trace classes:
[
71].
Lemma 2.9.2.2
is dense in
and also dense in
[
71].
2.9.2-2 Conditions and Caveats for General Hilbert–Schmidt Operators
In general a Hilbert–Schmidt operator
does
not necessarily belong to the trace class
. Within the UEE, however, the operators considered usually satisfy the following additional assumption, which implies inclusion in
[
71].
Proposition 2.9.2.3
Under this assumption is actually contained in the trace class .
Proof. Using Hölder’s inequality [
71],
The first factor is finite by assumption. The second factor is finite because
and the series converges by the comparison test [
19]. Hence
and
. □
2.9.3 Inclusion
In this subsection we prove that the trace–class
is contained in the algebra of all bounded operators
. We also establish the relevant norm inequality and the completeness properties [
71].
Boundedness of Trace–Class Operators
Proposition 49.
For every the operator T is bounded, and the following estimate holds:
Proof. The inequality
is a direct consequence of the Cauchy–Schwarz inequality for trace–class operators [
71]. □
Completeness and Closedness
Proposition 50. is complete with respect to the trace norm , and it is closed as a subspace of .
Proof. Banach completeness follows from [
71]; norm–closedness is proved in [
19], Prop. IX.10]. □
Physical Significance within the UEE
To ensure complete positivity and trace preservation (CPTP) of the dissipator [
2], one assumes
so that
.
In numerical time evolution, when the state
is updated, the trace–norm error estimate [
74, §7.1] can be applied directly.
In the variational formulation UEE
the space
serves naturally as the variational domain [
73].
2.10. Spectral Theory
2.10.0 Analytic Definition of on Euclid–Lorentz Space-Time
Because the d’Alembert operator
possesses an indefinite Lorentzian signature, conventional spectral theory cannot be applied directly. We therefore define
rigorously by the following procedure [
4, §6.3][
19, Thm.VIII.4].
Wick Rotation and the Euclid Box
Rotating the real time coordinate
to imaginary time
yields
where
is the Euclidean Laplacian, a self-adjoint, non-negative operator [
30, p. 306].
Spectral Decomposition
On the Hilbert space
one has the spectral resolution
with
the projection–valued spectral measure [
19, Cor. VIII.2].
Square Root via Functional Calculus
Applying the Borel functional calculus [
19, Thm. VIII.6] gives
a self-adjoint, non-negative operator whose domain equals the Sobolev space
[
75, Prop. 3.1].
Analytic Inverse Rotation
Analytically rotating back to Lorentzian space–time defines
Thus
is rigorously specified as a self-adjoint positive operator [
76, §9.2].
Consistency Check
Because the construction relies only on standard theorems of Borel calculus and spectral analysis, self-adjointness and the domain identity
are ensured [
6, Thm. X.23].
2.10.1 Spectral Decomposition in Fourier Representation
We next decompose the d’Alembert operator
on flat Minkowski space
by Fourier analysis [
77, Chap. 7].
Action of □ in Fourier Space
Proposition 51. Under the Fourier transform one has , where .
Proof. Using
and
immediately yields the statement [
78, §0.2]. □
Self-Adjointness and the Spectral Measure
Proposition 52 (Self-adjointness). On the domain , the operator □ is self-adjoint and its spectrum equals the entire real line.
Proof. (i) Integration by parts shows
because boundary terms vanish [
19]. (ii) In Fourier space □ acts as multiplication by the real variable
; standard multiplication-operator spectral theory applies [
19, Thm. VIII.4]. □
Construction of the Spectral Measure
Definition 48 (Spectral measure)
. For Fourier variables define the projection- valued measure
where is Borel measurable [20, §13.5].
Proposition 53 (Spectral decomposition formula)
.
and for any Borel function f one has [19, Thm. VIII.6].
Relevance to the UEE
Because
, the operator square root enters directly in the reversible component of the UEE as well as in the construction of the dissipative functional [
79, §4].
2.10.2-1 Construction of via Borel Functional Calculus
In this subsection we employ the spectral measure
built in Sect. 2.10.0.5 and define
rigorously by means of the Borel functional calculus, describing its domain and explicit action in detail[
19, Thm. VIII.6].
General theorem for the Borel functional calculus
Theorem 11 (Borel functional calculus)
. Let T be a self-adjoint operator with spectral measure . For every Borel–measurable function ,
defines a (possibly unbounded) self-adjoint operator with domain
[19, Prop.VIII3]
Sketch. Using basic measure–theoretic properties of
-spaces and Stieltjes integration, one verifies that the operator defined by the above integral is closed and self-adjoint; details are given in [
76, §6.3]. □
Application to
Since the spectrum of □ is the full real line and the spectrum of
is contained in
, we apply the measurable function
to
and set
where by definition
[
19, Cor. VIII.2].
Explicit domain
The natural domain of
is
which coincides—via Fourier analysis—with the Sobolev space
[
75, Prop. 3.1].
Equivalence in Fourier representation
In Fourier space
, so that
exactly the statement
[
77, Chap. 7].
Applications within the UEE
2.10.2-2 Proof of Positivity at the Operator Level and Applications to the UEE
Definition of a positive operator
Definition 49 (Positive operator)
. A self-adjoint operator T is positive
if
[19, Def. VI.2]
Fourier-space verification
With
(as established in Sect. 2.10.0.10), for every
,
[
77].
Consistency with self-adjointness
Together with the self-adjointness proved in Sect. 2.10.0.5, this establishes that
i.e., it is a positive operator.
Remarks on the domain
Because
, any
in the domain guarantees finiteness of the integral in the previous paragraph [
75, Prop. 3.1].
Applications to the UEE
The positivity of
underpins lower-bound estimates for the action functional and for the dissipative functional
[
79, Eq.(4.12)].
In the reversible generator
, spectral analysis with the graph norm uses the non-negative spectrum of
to secure the stability of the unitary evolution [
19, Thm. VIII.6].
In UEE
the variation
contributes hermitian, positive terms, preserving consistency in linear-response and perturbative analyses [
76, §6.3].
2.11. First Definition of : Geometric Induction
2.11.1 Definition of the Phase-Space Volume Scale and Its Basic Properties
In this subsection we rigorously define the
volume-scale function
on a phase space
X (for example, a Riemannian manifold or a local approximation thereof) and prove its fundamental properties.[
80, Ch. 3][
81, §1.1]
Definition of the volume-scale function
Definition 50 (Ball of scale
k)
. For a point the ball is defined by the geodesic distance condition .[82, p. 40] When we write we assume that X is situated in a uniformly regular region so that the volume of a ball depends only on the scale k.
Definition 51 (Volume-scale function
)
.
where is the Riemannian measure .[83, §2]
Small- and large-scale behaviour
Proposition 54 (Small-scale limit)
. As ,
where is the volume of the unit ball in .[84, Prop. 2.9]
Proof. Use local geodesic coordinates and a Taylor expansion of the Jacobian determinant. □
Proposition 55 (Large-scale limit)
. If X is non-compact, then as
so that a fractal dimension can be defined.[85, Thm. 1.3]
Proof. Assuming uniform homogeneity, apply the asymptotic scaling relation inductively. □
Physical significance within the UEE
serves as a scale-dependent parameter that controls the effective number of degrees of freedom of the information flux density .
In the action principle of UEE the function enters through the cut-off ; its limit determines the dissipative structure of the theory.
The value of
quantitatively characterises the self-similar structure and scaling invariance inherent in the physical model.[
86]
2.11.2-1 Framework of Geometric Induction and the Initial Step
In this subsection we establish the framework of
geometric induction for deriving a fractal dimension
that satisfies the asymptotic relation
and we describe the initial step in detail.[
87, §8.4]
The idea of geometric induction
As the basic hypothesis we assume the
self-similarity condition
for all
and for a suitable range of
k. Taking a reference scale
we obtain the unique definition
[
88]
Uniqueness of the initial step
Proposition 56 (Uniqueness of the first inductive constant). For and the equation determines uniquely.
Proof. Since
and the numerator is fixed,
is unique. □
2.11.2-2 General Inductive Step and Proof of Convergence for Infinite Induction
Building on the first-level induction in Section 2.11.0.3, we prove that
holds for any
and
, and we extend the relation
continuously to all scales
. This establishes uniqueness and convergence of the infinitely inductive construction of the fractal dimension
.[
87, §8.4][
85, Thm. 1.3][
88]
Generalisation of the induction on natural numbers
Lemma 9 (Inductive step for natural numbers)
. For every ,
Proof. The case
is Lemma 8. Assume the statement for
n; then
□
Extension to rational exponents
Lemma 10 (Induction for rational exponents)
. For any rational number () one has
Proof. From the previous lemma,
. Consider
; by measurability and monotonicity[
81, Prop. 2.1],
Taking the positive
n-th root yields the desired equality. □
Continuous extension to real scales
Proposition 57 (Induction over the reals and continuity)
. Let . If for all rational q, then for every real
i.e., .
Proof. Assuming that
is continuous in
(volume continuity)[
87, §1.4], the density of
in
extends
uniquely to
. Exponentiating both sides gives the result. □
Synthesis of convergence and uniqueness
Theorem 12 (Uniqueness of the infinitely inductive construction)
. Given a reference scale with volume and a scaling factor ,
is unique, and induction yields the continuous extension for all .
Proof. Combine the induction on
, the rational extension, and the continuous extension outlined in the previous results (natural→rational→real).[
85, Thm. 1.3][
88] □
Mathematical significance within the UEE
2.11.3 The rôle of inside the UEE and its mathematical consistency
In this subsection we explain in detail how the fractal–dimension operator
, defined inductively in Section 2.11.2, operates within every formulation of the Unified Evolution Equation (
,
,
) and how it is incorporated in a mathematically consistent manner.[
19,
81,
87]
Consistency with the functional operator
The operator
is introduced through the Borel functional calculus:
[
90] Because the scaling law
holds, every occurrence of
acting at the scale
k inherits the same scaling behaviour for each term in
. In particular,
(cf. Sections 2.5.5 and 2.17); this compatibility stems from the self-similarity of the fractal dimension combined with the operator covariance structure.[
85,
88]
Impact on the reversible part of
For the reversible generator of
,
we introduce the operator
(Section 2.23) so that
With
and the scaling of
, the evolution of
now exhibits self-similar dynamics and its spectrum is subject to the map
.[
89]
Incorporation into the action principle
Within the variational formulation we consider
Here the dependence of
(Sections 2.5.3–2.5.5) on
, together with the functional operator
, is essential when imposing the stationarity condition
.[
19] In the variation one finds
and because
, the resulting non-linear equations retain their scale consistency.
Fractal effects in the field-equation version
For the coupled field equations of
the definition
implies that the scaling
enters the non-linear dissipation rate for the information current:
with
, displaying the explicit self-similar contribution of the fractal dimension.
Summary of mathematical consistency
The geometrically-induced preserves self-similarity at the operator level, providing the foundation for commutativity and positivity of and .
The scale dependence generated by is fully compatible with the mathematical structure of the UEE, namely: self-adjointness, positivity of operators, and covariance of the spin–gauge derivative.
Through its inductive definition, its appearance in functional operators, in the action principle, and in the field equations, the UEE forms a self-contained theory that naturally accommodates a fractal dimension.
2.12. Second Definition of : the Operator–Function Approach
2.12.1 Definition of via the Borel Functional Calculus and its Domain
In this subsection, building on the spectral measure
constructed in Chapter 2.10, we give the
second definition of the fractal-dimension operator
by rigorously defining
and we prove its domain and basic operator–theoretic properties.
Recap of the Borel functional calculus
For a self-adjoint operator
with spectral measure
(
), every continuous function
is assigned an operator through
see [
19,
90]. In particular, we apply this to
.
Definition of
Definition 53 (Borel definition of
)
.
Its natural domain is
Proof of self-adjointness
Proposition 58. is a closed, self-adjoint operator satisfying on its domain .
Proof. The general theorem of the Borel functional calculus [
19,
90] states that, for a real-valued bounded continuous function
f, the operator
is bounded and self-adjoint. Because
is bounded and continuous on
, the operator
inherits these properties. □
Estimate of the operator norm
Proposition 59. The following estimate holds: .
Proof. Since
for every
, the spectral norm satisfies
□
2.12.2 Fourier–Kernel Representation and the Successive Reproducing Kernel
In this subsection we derive an explicit kernel representation of the operator function
via the Fourier transform, and—employing Mercer’s theorem—construct the successive reproducing kernel together with a rigorous statement of its region of convergence.
Derivation of the Fourier–kernel representation
Proposition 60 (Existence of an integral kernel)
. The operator can be written as an integral operator
with kernel
[19,91]
Proof. Insert the definition
and write out the inverse Fourier transform explicitly; the stated kernel
follows immediately. See [
19]. □
Successive reproducing kernel via Mercer’s theorem
Proposition 61 (Reproducing-kernel property)
. The kernel is symmetric and positive definite, hence Mercer’s theorem gives the Hilbert–Schmidt expansion
where is an orthonormal system and is a sequence of positive eigenvalues, with –norm convergence.[92,93]
Proof. (i) Self-adjointness and positivity of
(Section 2.10.2-2) imply that
K is a positive definite symmetric kernel. (ii) Because
, Hilbert–Schmidt theory applies and Mercer’s theorem yields the stated expansion. [
71] □
Region of convergence and successive approximation
Proposition 62 (Convergence of the successive reproducing kernel)
. Let
and denote by its integral kernel. Then
i.e., the sequence converges in the Hilbert–Schmidt norm. [71]
Proof. Express the remainder of the sine series in Fourier space and estimate it using the Taylor remainder of
, which decays faster than any polynomial; see [
94]. □
Remarks for theory and numerics
The kernel representation furnishes a basis for assessing locality in the interaction term of UEE and for rigorous numerical approximations.
Mercer’s expansion allows a modal truncation of —useful for dimensional cut-off approximations and parametric modelling.
The convergence estimate supplies an explicit bound on kernel truncation errors in lattice implementations.
2.12.3-1 Taylor Series Expansion for Higher-Order Terms
Power series of sin
[
94,
95]. Setting
we obtain the operator series
Operator interpretation of each term
Every power
is defined by the Borel functional calculus:
see [
19,
71].
Convergence of the main series
Proposition 63. For every the series converges absolutely.
Proof. Fix a spectral bound
(finite for any finite truncation). Then
The estimate
is an exponential series and thus convergent by the Weierstrass test [
20]. □
Explicit remainder form
so that, using an Euler–Maclaurin remainder, one immediately obtains the error bound employed later in Section 2.12.0.23:
cf. [
96].
2.12.3-2-1 Mellin–Barnes Expansion and the Complex-Analytic Representation of the Remainder Term
In this subsection we rewrite the remainder term introduced in Section 2.12.0.9,
by means of a Barnes–Mellin (Mellin–Barnes) integral, thereby preparing a refined estimate of the residual series.
Barnes–Mellin representation of
[
99]. Here
is a vertical contour with real part
.
Barnes–Mellin-type expansion of the remainder
Because
we obtain
Represent the factor
by
exchange the order of summation and integration, and arrive at
[
100]. Here
denotes the polylogarithm. Enclosing the principal pole
by the residue theorem connects directly with the Barnes–Lagrange elimination developed later.
Summary
The double Mellin–Barnes representation derived above forms the analytic foundation for applying the Barnes–Lagrange elimination theorem (Section 2.12.0.17), enabling a rigorous norm estimate of the remainder term .
2.12.3-2-2 Relation to the Barnes–Lagrange Elimination Theorem
In this subsection we combine the Barnes–Mellin representation of the remainder term from Section 2.12.0.13 with the Barnes–Lagrange elimination theorem [
97,
101] to cancel the zeros of the surplus term
in
and to obtain an explicit error estimate.
Recap of the Barnes–Lagrange elimination theorem
Theorem 13 (Barnes–Lagrange elimination [
101])
. For a Mellin–Barnes–type series with suitable pole structure, the series can be reduced to a finite Laurent expansion ; the remaining series is expressed exactly by the sum of residues at the principal poles.
MB–residue decomposition of the remainder series
Using the result of Section 2.12.0.13,
we apply the Barnes–Lagrange theorem: taking the residues at the principal pole
in the
s-plane and the poles
of the
t-integral yields
Zero cancellation and extraction of leading residues
For the s-integral the poles at () annihilate; only poles with contribute.
For the t-integral the main residues stem from because of the interplay between and .
Derivation of the error estimate
The leading residues at
and
are
hence
Boundedness of the error
Therefore there exists a constant
such that
showing that the high–order terms decay rapidly.
Conclusion for UEE
This error estimate enables a precise control of systematic errors originating from the truncation of the Taylor series and provides a theoretical lower bound for the required truncation order N in practical applications.
2.12.3-3 Proof of the Boundedness of the Remainder Term
In this subsection we show, for the remainder term defined in Section 2.12.0.9,
that it is bounded with respect to a suitable norm and we establish the estimate
where a constant
is chosen so that
for every
and all
[
19].
Action of the remainder term and a first estimate
For any
we have
Evaluation of the series by the comparison test
Setting
the series
converges because of factorial decay [
102]. From the ratio test we obtain
Hence
for a suitable constant
.
Operator-norm boundedness
Taking the supremum over all
with
yields the operator-norm estimate
Hilbert–Schmidt norm estimate
If we assume
, the same reasoning shows
[
71].
Short summary
We have shown that the remainder term of the finite-order approximation of is suppressed by factorial decay, thus providing a mathematical foundation for selecting a truncation order N in numerical computations.
2.12.3-4 Physical Impact of Approximation Errors in the UEE
Based on the estimate obtained in Section 2.12.0.23, we analyse how the finite-order approximation influences physical quantities in the three formulations of the unified evolution equation (UEE
, UEE
and UEE
) [
89,
104].
Error propagation in the reversible part of UEE
With
and the approximation
, we write
Since
, the unitary evolution
obeys the error bound
[
56].
Error in the dissipation rate and the -function of UEE
Practical guideline for choosing the truncation order N
To guarantee an error smaller than a prescribed tolerance
one requires
Using Stirling’s formula,
[
105], yields approximately
Physical consequences in small-perturbation expansions
With , linear-response quantities such as the dissipation rate inherit an uncertainty; in applications this translates, e.g., to for CMB -distortion or for the information-loss rate of Hawking radiation.
Summary
Because the remainder decays factorially, very few terms suffice for high precision. Hence both the mathematical model of the UEE and its numerical implementation remain stable and efficient.
2.13. Self-Adjointness of the Projection
2.13.1 Proof of the Self-Adjointness of
In this subsection we prove rigorously—by means of the Borel functional calculus—that the operator function
is self-adjoint (self-conjugate) on its domain
.
Reminder of the general theorem of the Borel functional calculus
For a self-adjoint operator
T with spectral measure
and an arbitrary real-valued Borel function
f,
defines a closed, self-adjoint operator [
19,
106].
Application to the spectral measure of
From Sections 2.10.1–2.10.2 we have
and we set
; this is a real function, so
.
Coincidence of domains and closedness
The domain is
[
6].
Because
is defined by Borel calculus, it is automatically closed [
19].
Direct proof of self-adjointness
For arbitrary
,
where the integrand remains unchanged under complex conjugation because
is real [
90].
Conclusion
Hence
i.e.,
is a self-adjoint operator.
2.13.2 Proof of the Boundedness
Here we show, from a spectral-theoretic viewpoint, that the operator satisfies .
Upper bound via the spectral theorem
With the spectral measure
of
,
[
107].
Scalar inequality for the integrand
The function is real and obeys for all .
Passage to an operator inequality
Integrating the pointwise inequality yields
where
I is the identity operator [
108].
Consequence for the norm
From it follows that , hence .
Supplement from the kernel representation
In the Fourier-kernel representation
, the Mercer expansion
has eigenvalues
with
; this is equivalent to
[
109].
Significance for the UEE
The inequality guarantees the positivity and boundedness of the dissipation generator and of the information-flux functional . Consequently, the non-reversible part of the UEE is formulated in a physically consistent manner.
2.14. and its Fourier-Kernel Representation
2.14.1 Derivation of the Fourier–Kernel Representation
In this subsection we express the operator
as an integral kernel by means of the Fourier transform, and we give a rigorous derivation together with the necessary convergence conditions.
Fourier representation of the operator function
For the self-adjoint operator
one has
so that
[
108].
Derivation of the kernel representation
where the kernel is defined by
This is a manifestation of the Bochner–Schwartz kernel representation [
110].
Verification of kernel convergence
A sufficient condition for absolute convergence of the Fourier integral is
which indeed holds [
111]. Using Plancherel again we obtain
so
and
is a Hilbert–Schmidt operator [
71].
Relation to the next subsection
This kernel representation supplies the basis for the Mercer expansion (Subsec. 2.14.0.5) and for sequential approximations in numerical truncations; it underpins the locality and numerical stability of interaction terms in the UEE framework [
109].
2.14.2 Reproducing-Kernel Expansion and Convergence Region
In this subsection we construct a reproducing-kernel expansion of the kernel
by applying Mercer’s theorem, and we discuss the convergence region in terms of the Hilbert–Schmidt norm and kernel-space analysis.
2.14.2-1 Construction via Mercer’s Theorem
Verification of the Hilbert–Schmidt condition
Since
, the kernel is indeed Hilbert–Schmidt [
67].
Application of Mercer’s theorem
For a self-adjoint, positive Hilbert–Schmidt kernel, Mercer’s theorem [
109,
112] gives
where
is an orthonormal set and
.
2.14.2-2 Convergence Region and the Limits of Numerical Truncation
Sequential approximation in Hilbert–Schmidt norm
The polynomial truncation
comes with a kernel
that admits an analogous expansion
where
and
[
71].
Explicit convergence estimate
Using the remainder estimate in Subsec. 2.12.3-3,
so the convergence is exponentially fast for modes
.
Guidelines for numerical implementation in the UEE
Choosing
guarantees an error below
[
57].
A local-kernel truncation can be made sparse, with for suitably estimated R.
The optimal balance between and the truncation order maintains the stability condition for both the reversible and dissipative parts of the theory.
Summary
Through the route from the Fourier kernel to the Mercer expansion we obtain a mathematically sound basis for both analytic estimates and numerical approximations of . This is indispensable for studying field dynamics in the UEE, in particular for assessing the locality of dissipative terms and for tracking RG flows numerically.
2.15. Derivation of the Barnes–Lagrange Elimination Theorem
Positioning and notation.
In this section we extend the elimination theorem so that it includes a zero–area resonance kernel
R (see Sect. 2.5.0.7). Following [
113],
is defined by
and fulfils the zero–area condition
[
114]. With this ingredient the traditional “dissipative–channel only” cancellation
is generalised to the relation (10).
2.15.1 Mellin–Barnes Integrals and Basic Properties of the Gamma Function
Before proving the Barnes–Lagrange elimination theorem we review the Mellin transform, Barnes-type integrals and the gamma function identities that will be used throughout the derivation.
Definition of Barnes-type integrals and convergence conditions.
A generic Barnes double integral has the form [
25]
with a fixed parameter
u and contours
,
chosen suitably.
Proposition 64 (Barnes–Mellin convergence condition)
. The integral is well defined only if the contours avoid all poles of the gamma factorsand
if are simultaneously positive. [117]
Proof. Each gamma factor has simple poles at negative integers. By shifting the contours one can enumerate the residues provided the three real parts remain positive. See [
118] for details. □
Gamma–function identities used in the elimination theorem.
Throughout the proof we repeatedly use
[
119] as well as their consequences.
2.15.2 Proof of the Main Barnes–Lagrange Elimination Theorem
Here we give a rigorous proof of the central Barnes–Lagrange elimination theorem. We first formulate the theorem and specify the integration contours, then carry out the residue calculation that yields the desired elimination structure.
2.15.2-1 Statement of the theorem and contour choice
Theorem 2.15.2 (Barnes–Lagrange Elimination).
Let
be a sequence of functions such that the Mellin–Barnes series
holds. Then, for every natural number
N,[
120]
Choice of contours.
The vertical Mellin–Barnes contour
is chosen with
, so that it lies between the simple poles
and
of
[
121].
For the elimination theorem we close the contour on the left so that the poles
are enclosed, while the right–hand part is pushed to
where the integral vanishes thanks to Stirling’s formula [
96].
2.15.2-2 Proof of the Elimination Structure
Splitting the Mellin–Barnes integral.
Following [
121], the line integral along the contour
is split into left– and right–hand closed loops,
Cancellation of the left–hand poles.
For the poles
with
we have
[
95]. These residues cancel exactly against the terms of
:
Extraction of the leading remainder.
The rightmost pole on the left,
, yields the leading contribution to the remainder:
[
120]. This term is precisely the first part of
.
Vanishing of the right–hand poles.
For the poles on the right,
, Stirling’s asymptotic formula implies
[
96], so that the contribution from the infinite loop is zero and does not appear in the remainder.
Conclusion.
Combining the above steps [
118] we obtain
thereby completing the rigorous proof of the Barnes–Lagrange elimination theorem.
2.15.2-3 Extended Cancelling Identity (including the zero–area resonance kernel)
We now present the
extended cancelling identity, which augments the conventional cancellation among dissipative channels by adding the zero–area resonance kernel operator
R [
113].
Theorem 14 (Extended Cancelling Identity)
. The total generator of the UEE
preserves complete positivity and trace, provided that the following identity holds:
Remark 4 (Units of the parameters)
. Throughout this chapter all dissipative parameters and the resonance–kernel coefficients are expressed in “fraction form”,i.e.,
a parts- per-million value divided by [114]. The residue is therefore calculated in the same fractional units; when comparing with ppm values one simply multiplies by according to our unified convention.
Proof.
1.
Standard cancelling identity. Trace preservation of the Lindblad–GKLS form requires
[
8].
- 2.
Addition of the zero–area kernel. By definition
[
113], hence
- 3.
Complete positivity and trace preservation. Owing to the double commutator structure and the zero–area condition,
R satisfies Tr
and does not spoil complete positivity; thus
remains a CPTP generator [
122].
□
Physical implication.
Equation (10) shows that, in addition to the classical cancellation among the dissipative channels , peaks and dips appearing in the reversible dynamics in the spectral resonance region cancel out with zero area. Consequently the UEE is able to incorporate nonlinear resonance effects consistently without violating the fundamental conservation laws.
2.15.3 Applications to the UEE and Concrete Elimination Examples
In this section we apply the Barnes–Lagrange elimination theorem shown in Sect. 2.15.0.6–2.15.0.8 and the extended cancelling identity of Sect. 2.15.0.13 to the various building blocks of the Unified Evolution Equation (UEE), demonstrating the consistency between theory and numerical implementation.
Elimination of the remainder term of .
For the fractal operator
the projector
can be decomposed as in Sect. 2.15.0.8:
[
95]. Using the extended cancelling identity (Equation (
11)) and the effect of the zero–area resonance kernel
R, the infinite sum is truncated to a
finite residue sum:
By choosing
L appropriately we guarantee that the remainder term converges while the zero–area kernel cancels the physical singularities.
Expansion of the dissipative functional .
For the dissipative functional in UEE
we likewise expand
and apply the elimination theorem:
[
123]. The zero–area condition together with the extended cancelling identity reduces the dominant residues to a finite sum, allowing a quantitative evaluation that simultaneously incorporates physical dissipative channels and nonlinear resonance effects.
Numerical elimination algorithm.
Physical visualisation.
For each eigen–value
one can visualise the effect of the truncation level
L by plotting
which makes the spectral modification caused by the finite residue sum intuitive.
Summary.
By combining the elimination theorem with the extended cancelling identity we can coherently incorporate nonlinear resonance effects together with dissipative channels in both the operator and the variational formulations of the UEE. The method provides a mathematically rigorous yet computationally efficient framework that underpins the whole theory.
2.16. High-Order Expansion and Error Estimate
2.16.1 High-Order Terms via the Taylor-Series Expansion
In this subsection we expand the operator function
derive the terms up to fourth order explicitly, and obtain the formal expression of the remainder
.
Power–series expansion of sin.
For a complex variable
z one has
[
95,
124]. Setting
gives the operator series
Listing of the leading terms.
Extracting the terms for
one obtains
where we have set
Truncation as an approximation.
Introducing the small-perturbation parameter
retaining all terms up to fourth order yields
The remainder is defined by
1
Operator form of the remainder.
Relation to the UEE.
The truncation
and the dissipative functional
collect every contribution of order
and higher into
, thus providing a natural small-perturbation approximation for the reversible and dissipative structures of the UEE [
1,
8].
Proof of the Remainder Bound
Let the small parameter be
We prove that the remainder
is bounded by
in both operator and Hilbert–Schmidt norms.
Estimate in the operator norm.
For any
with
,
Using the series bound
[
96] we obtain
Estimate in the Hilbert–Schmidt norm.
With the same argument one finds
in the Hilbert–Schmidt norm [
71].
Validity of the notation.
Strictly , but since one has ; thus writing does not over–estimate the error.
Implications for the UEE.
In the reversible generator the unitary error is suppressed by .
In the variational formulation the variational error is controlled at .
The RG β-function correction permits an explicit estimate of fixed-point errors.
Summary.
It has been proved that the remainder
after truncating at
is bounded by
, thereby providing full error control for both the mathematical model and numerical implementations of the UEE [
25,
123].
2.17. Commutativity
2.17.1 Proof of the Operator Commutativity
In this subsection we give a rigorous proof—combining Borel functional calculus with integration by parts—that the Dirac operator
and the operator function
commute, i.e.,
[
19,
125].
Definition of commutativity.
Two operators
on a Hilbert space commute on the common domain
if
A general commutativity statement via Borel calculus.
Proposition 65.
Let T be a self-adjoint operator and D another self-adjoint (covariant derivative type) operator such that . Then, for every real Borel function f,
[35,126]
Proof. Write
using the spectral measure of
T. Because
, the operator
D commutes with every spectral projection
. Hence
i.e.,
on
. □
Verification of .
Since
is a function of
and the covariant derivatives commute with
D, one has
[
127]. In Fourier space
and
is a scalar multiplication operator, so
holds trivially [
30].
Final conclusion: proof of .
Applying the proposition with
and
gives
Thus the commutativity holds on
; boundary terms vanish under integration by parts, completing the proof [
21].
2.17.2 Construction of a Common Eigenbasis
We construct the common eigenbasis for the commuting self-adjoint pair
established in
Sect. 2.17. First we recall the general simultaneous diagonalisation theorem, then realise it explicitly for the Dirac operator and
on flat space-time.
2.17.2-1 General theory of simultaneous diagonalisation
Proposition 2.17.2.1 (Joint spectral measure).
If two self-adjoint operators
satisfy
on a Hilbert space
, they possess a common spectral measure
such that
[
19,
90]
Existence of common eigenvectors.
The measure
yields orthonormal joint eigenvectors
with
forming a complete set [
128].
2.17.2-2 Explicit construction for D and
Plane–wave spinor basis in flat space.
On flat Minkowski space, plane waves satisfy
and
providing eigenfunctions of
D [
30].
Eigenvalues of .
From the Fourier kernel (
Sect. 2.14)
so the plane-wave spinors satisfy
Hence
form a joint eigenbasis of
[
21].
Orthogonality and completeness.
With the spinor normalisation
and the
-normalised plane waves,
one finds
establishing orthonormal completeness [
129].
Consistency with earlier sections.
Since
is a function of
and commutes with
D, the above basis lies entirely in
and is fully consistent with the result of
Sect. 2.17.
Summary.
A concrete plane–wave–spinor joint eigenbasis for the commuting pair
has been constructed, completing the mathematical framework for the simultaneous diagonalisation of the reversible and dissipative parts of the UEE [
130].
2.18. Definition of the Dissipative Kernels and Their Support Conditions
2.18.1 Mathematical Definition and Physical Significance of the Dissipative Kernels
In this subsection we give a precise definition of the dissipative kernels that appear in the dissipative generator (in Lindblad form) of the UEE and clarify their physical rôle.
Spatial dependence and kernel action.
In the present theory
and every
depends on the space–time point
, acting through an integral kernel
where
is allowed [
131].
Kernel factorisation and local support.
We factorise each dissipative kernel by a compactly supported function
,
with
taken from the family
of smooth Clifford–gauge coupled operators [
19]. We assume in particular
where
is compact.
Physical interpretation.
The factor
localises information flux and controls the region and strength where the dissipative process takes place [
1].
The kernel
encodes spatial interaction and fixes the geometry of thermal/dissipative diffusion [
132].
Introducing the charge–conjugation matrix
C and imposing
implements dissipative symmetry with respect to charge conjugation [
4].
2.18.2 Rigorous Support Conditions: Compact Support Functions and the Charge–Conjugation Matrix C
We now give a strict proof of the two requirements in the definition of the dissipative kernels: “ is compactly supported’’ and the “charge–conjugation symmetry’’ mediated by the matrix C.
Definition of compact support.
Definition 54 (Compactly supported function)
. A function is a smooth function on that vanishes outside some compact set ; that is, for all [20].
Proposition 66 (Boundedness in operator norm)
. If and then is bounded with [19].
Proof. One has , whence the claim. □
Compatibility of supports.
If for all
the intersection
is finite, the interaction between dissipative channels is controlled and the Lindblad–Kossakowski conditions (trace class and complete positivity) are preserved [
133].
Properties of the charge–conjugation matrix C.
Definition 55 (Charge–conjugation matrix)
. A matrix C is called a charge–conjugation matrix if
[30]
Proposition 67 (CPTP symmetry of the dissipative kernels)
. Defining , the pair satisfies complete positivity and trace preservation (CPTP) [134].
Proof. The map realises channel duality; the Lindblad expressions and represent the same variation, preserving CPTP. □
Summary.
We have rigorously established that the dissipative kernels
may be written with a compactly supported
and that the charge–conjugation symmetry ensures CPTP locality of the dissipative sector in the UEE [
1].
2.19. Lindblad Form of the Dissipative Generator
Using the operator algebra
and the dissipative kernels
constructed in the previous chapter, we shall show that the non-unitary part of the Unified Evolution Equation (UEE)—the generator
—satisfies the standard completely-positive and trace-preserving (CPTP) quantum Markov-semigroup structure, i.e., the Lindblad–Gorini–Kossakowski–Sudarshan (GKLS) form [
2,
8].
2.19.2 Concrete Construction of in the UEE
Definition of the dissipative generator in the UEE.
With the dissipative kernels
introduced in Chap. 2.18 we define the non-unitary generator of the UEE by
where each
is local in a compact region via its support function
and guarantees complete positivity [
134].
Verification of the CPTP property.
Because
is already in Lindblad form,
is a CPTP semigroup [
2,
8]. Indeed,
so
. Complete positivity follows from the Kraus representation
with
[
40,
137].
Channel structure inside the UEE.
Writing the full generator as
clearly separates the unitary and dissipative sectors; the same decomposition holds in the operator (
), variational (
) and field-theoretic (
) realisations of the UEE [
1].
Summary.
We have rigorously proved that the dissipative generator of the UEE satisfies the GKLS–Lindblad form and hence guarantees the CPTP property. This provides the mathematical foundation for local dissipation, information-flux damping and thermodynamic irreversibility within the model.
2.20. Proof of the Operator Inclusion Chain
In this section we prove rigorously, at the operator level, the chain of inclusions among the domains of the operator algebra
, the Dirac operator
D, the fractal operator
and the dissipative generator
,
using the notions of operator domains, boundedness and relative boundedness for each inclusion.
2.20.1 Preliminaries on Domains and the Outline of Inclusions
The operator algebra .
is a family of smooth zero-order operators; it generates a collection of bounded operators on every spinor field
. Hence
The Dirac operator D.
has the natural domain
(the first-order Sobolev space);
implies immediately
[
34].
The fractal operator .
For
one has
; because
, it follows that
[
6].
The dissipative generator .
With
and assuming trace class for the states,
is taken inside
; since
, we obtain
[
138].
Supplement (domain of G).
The zero-order multiplication algebra
uses compactly supported smooth functions, so boundedness on
and closure under multiplication are automatic [
139]. Hence
reduces to
, consistent with the subsequent discussion of self-adjoint extensions.
2.20.2 Proofs of the Inclusions at the Operator Level
Proposition 2.20.2.1 ().
For any
and
,
Because
, we have
[
6]. □
Proposition 2.20.2.2 ().
The Sobolev inclusion
together with
gives directly
[
140]. □
Proposition 2.20.2.3 ().
Let
. Because each
,
so all terms in
are trace class; hence
[
138]. □
Conclusion.
We have proved
clarifying the analytic hierarchy of operators in the UEE and providing a firm basis for the subsequent spectral and dissipative analysis.
2.21. Relative Boundedness Constants arev, adiss
2.21.1 Definition of Relative Boundedness and Use of the Kato–Rellich Theorem
In this subsection we define relative boundedness for the Dirac operator D and for the dissipative generator . We then apply the Kato–Rellich theorem to show that is relatively bounded with respect to D.
Definition of relative boundedness
Let
A be self-adjoint and
B a closed operator.
B is called
relatively bounded with respect to
A if
and there exist constants
such that[
24]
Domain inclusion of D and
Introduction of the relative boundedness constants
Writing the Lindblad part
set, on the operator level,
Checking the Kato–Rellich hypotheses
The Kato–Rellich theorem states that if
B is relatively bounded with respect to a self-adjoint
A and its relative bound satisfies
, then
is again self-adjoint[
24].
Deriving the estimate
Because every
is bounded and, for
,
, we have
with the choice
where
is the lower edge of the spectrum of
D[
21].
Conclusion
Thus the dissipative operator family
B is relatively bounded with respect to the Dirac operator
D. Assuming
, the full generator
(the infinitesimal generator of the UEE) can be defined as a self-adjoint operator by the Kato–Rellich theorem[
24].
2.21.2 Upper Estimates and the Proof that
Here we give sufficient conditions ensuring that both relative boundedness constants introduced above satisfy and , thereby meeting the Kato–Rellich hypotheses.
Relative bound for the reversible part
For the reversible contribution
note that
is a bounded operator with
, and that
acts by multiplication with
. For any
,
with
so that
.
Relative bound for the dissipative part
For the dissipator
each
is bounded:
. For
,
where
Hence
[
138].
Physical conditions ensuring both bounds are
It suffices that
to obtain simultaneously
and
.
Outlook
Under these conditions the full UEE generator
is the sum of a self-adjoint part and a dissipative part, both relatively bounded with respect to
D with relative bounds strictly smaller than one; the Kato–Rellich theorem therefore guarantees that
is a closed, self-adjointly correctable operator, as required for the mathematical consistency of the theory.
2.21.3 Ensuring by Mass Introduction and an IR Cut-off
The mass–less Dirac operator
may possess zero modes, so that
; in that case the relative–bound estimates of Sect. 2.21 break down[
21]. We therefore supplement the operator as follows.
Adding a mass term
By redefining
the operator
is self-adjoint and gapped,
[
6]. Hence
Alternative treatment via an IR cut-off
Even for a mass–less field, working on a finite volume
V discretises the spectrum of □. The lowest eigenvalue
appears[
141]. On a four-torus
so the minimal momentum
yields
.
Re–evaluating the relative boundedness
Using the modified operator
or using the domain after the IR cut-off, the estimate of Sect. 2.21,
, is renewed; explicitly
so the relative boundedness condition is fully restored.
2.21.4 Numerical Examples for via Mass Introduction
Table 2.
Lower bound after adding a mass term . (The mass parameter is assumed to satisfy with the physical cut-off .)
Table 2.
Lower bound after adding a mass term . (The mass parameter is assumed to satisfy with the physical cut-off .)
|
|
Corresponding maximal
|
|
|
|
|
|
|
| 1 |
1 |
|
Recommended value: Choosing
guarantees
, so the hypotheses of the Kato–Rellich theorem[
24] are satisfied within experimental constraints.
2.22. Thermodynamic Introduction of the Information-Flux Density
2.22.3 Smoothness and Boundary Conditions of the Inverse-Temperature Distribution
To guarantee the thermodynamic consistency of the information-flux density , we impose the following hypotheses on the smoothness of and on its boundary behaviour.
Smoothness hypothesis
Hence both
and
are infinitely differentiable with compact support and therefore do not affect the boundedness estimates for the operators involved[
148].
Boundary condition
For non-equilibrium fields we usually impose the constant inverse temperature
on the boundary
. Because this constant value connects continuously the equilibrium and non-equilibrium domains, the energy–balance identity required by the first law,
is satisfied[
149].
Consequences for operator estimates
With the above assumptions we have and ; consequently the boundedness estimates for given in Sect. 2.22 are unaffected.
Summary
These technical assumptions on the smoothness and boundary behaviour of complete the thermodynamic introduction of and strengthen the mathematical rigour of the UEE framework.
2.23. Reversible–Dissipative Decomposition and
2.23.2 Derivation of
In this subsection we derive the operator form for the density operator by means of the reversible–dissipative decomposition.
Density-operator equation
Expansion of the operator exponential
A Dyson–Phillips series[
152,
153] yields
Each term is an ordered product of the unitary evolution generated by the reversible part and the action of the dissipative channels.
Physical interpretation
The initial state undergoes alternating reversible and dissipative actions, making information and energy dissipation explicit.
In the long-time limit
the dissipator selects a stationary state, driving the system towards thermal equilibrium and maximal entropy[
154].
The same structure appears in and ; the operator form gives the most direct mathematical representation.
Summary
We have derived as a density-operator equation based on the reversible–dissipative decomposition, completing the operator framework of the UEE.
2.24. Minimal Dissipative-Resonance Variational Principle
2.24.2 Derivation of the Stationarity Condition and the Complete Solution of the Variational Equations
Recap of the Fréchet derivative
For the operator function
one has
with
[
150].
Expression of the stationarity condition
Using the cyclicity of the trace[
71] and rearranging the operator products we obtain
Construction of the solution via eigen-expansion
With
and
we get
For
this implies
, hence
Choice of the resonant dimension
The minimal dissipative resonance corresponds to
:
Complete expression of the solution
Therefore the general solution of the variational equation is
Summary
From the stationarity condition of the dissipative functional we have obtained the discrete spectrum and identified the minimal dissipative–resonance dimension as . Consequently, the dissipative structure of the UEE is fully determined in a way that coherently combines the reversible–dissipative operator decomposition with the thermodynamic indicator .
2.25. Residual Deviation Width
2.25.1 Definition of the Residual Deviation Width and the Theoretical Framework for Its Derivation
In this subsection we rigorously define the residual deviation width that arises from the influence of the remainder term introduced in the small–perturbation approximation of the UEE, and we present the detailed mathematical framework for its derivation.
Physical meaning of the residual deviation width
Among the fractal dimensions
obtained from the variational equation (Section. 2.24.0.6), the case
gives the minimal dissipative–resonance dimension. Nevertheless, as long as the remainder term
stemming from the Taylor truncation
is non–zero, the true resonance position is slightly shifted[
150,
158]. We define this shift as the residual deviation width
.
Rigorous definition of
Definition 57 (Residual deviation width)
. Considering a perturbative correction to the minimal dissipative–resonance dimension,
we insert this into the variational equation[71]
The smallest non–zero solution δ is called the residual deviation width
.
Perturbative expansion of the variational equation ()
Using the Taylor series[
159],
and recalling
[
108], we obtain
Numerical example (latest value of )
Substituting the value obtained in
Section 2.22 into (11) yields
Theoretical and numerical implications
Bridge to the next subsection
In
Section 2.26 we use the result (11) to analyse the two–loop
-function fixed–point shift and its stability.
2.26. 2-Loop -Functions (All Gauge + Yukawa)
2.26.2-1 Exact Derivation of the Two-Loop Gauge-Coupling Coefficients
In this subsection we enumerate
all two–loop Feynman diagrams that produce the purely gauge part of
and evaluate each loop integral and its group–theoretical factor rigorously[
171,
172,
173].
Classification of the required Feynman diagrams
Diagram (a): the “diamond’’ diagram built from two three-gluon vertices[
174].
Diagram (b): graphs that contain the four-gluon vertex [
174].
Diagram (c): gauge–boson self-energy graphs with a fermion loop [
172].
Diagram (d): gauge–boson self-energy graphs with a scalar loop [
161].
Loop-integral evaluation for diagram (a)
Using dimensional regularisation with
[
175], one finds
With the group identity
one obtains
[
172].
Evaluation of diagram (b)
Because of its symmetry the four-gluon vertex diagram yields only a one-loop integral; one finds
, i.e., there is no
pole, and hence no contribution to the two-loop
-function[
174].
Diagrams (c) and (d): fermion and scalar loops
The fermion-loop contribution[
161]
and the scalar-loop contribution[
162]
are obtained as “one-loop propagator’’ times “one-loop insertion’’ diagrams; only the
parts are retained.
Combination of the individual results
Adding (a), (c) and (d) one finally arrives at [
164,
172]
exactly as quoted in
Sect. 2.26; the mixed Yukawa–gauge term
is derived in the next subsection[
166].
Summary
The two-loop pure-gauge contribution extracted here coincides with the classical results of [
171,
172] and reproduces the coefficients in
Sect. 2.26 precisely.
2.26.2-2 Exact Derivation of the Yukawa–Gauge Mixing Coefficients
This subsection derives the coefficients
that appear in the two-loop term
of the
-function from the Yukawa–gauge interaction diagrams at two loops [
166,
176].
Classification of the Yukawa–gauge diagrams
Diagram (e): a “double scalar–fermion loop’’ where two Yukawa insertions correct a gauge propagator[
166].
Diagram (f): the “fermion–gauge–fermion triangle’’ with crossed Yukawa and gauge vertices[
166].
Evaluation of diagram (e)
Dimensional regularisation yields the pole
[
176]. The group factor is
.
Evaluation of diagram (f)
The loop integration produces
[
166], and with
.
Final expression for
Adding both contributions yields
i. e.
Consistency within the UEE framework
The derived
precisely reproduces the table values in
Sect. 2.26 and is fully consistent with the
-functions used in the UEE RG-flow simulations [
168].
2.26.2-3 Exact Derivation of the Yukawa Self-Mixing Coefficients
The two–loop Yukawa self-interaction contribution
appears in the gauge-plus-Yukawa
-functions. We derive the coefficient
in two steps[
162,
166,
168]:
2.26.2-3-1 Classification of the Yukawa Self-Interaction Diagrams
The two–loop Yukawa self-mixing contribution to the β–functions originates from the following diagrams[
166,
177]:
Diagram (g): a fermionic box graph with two Yukawa insertions .
Diagram (h): a mixed triangle graph containing Yukawa and gauge vertices .
Diagram (i): a four-fermion contact insertion in a box diagram ( combination).
For each graph we specify
the vertex structure with Dirac, scalar, and Yukawa matrices;
the propagator denominators , etc.;
extraction of the
pole in dimensional regularisation (
)[
174];
the trace structure of the representation matrices
that provides the group factors[
175].
2.27. RG Flow Simulation and Fixed Points
2.27.1 Derivation of the RG Flow Equations and Numerical Simulation Scheme
In this subsection we derive the system of RG-flow equations based on the multi-variable
-functions obtained in
Sect. 2.26 and present, at the line-by-line level, the numerical simulation procedure in full detail.
Initial Conditions and the Physical Parameter Range
The measured values at the scale
,
, are used as initial data, while the physically allowed region
,
is imposed as a constraint [
180].
Choice of Numerical Integration Scheme
To achieve high accuracy and to handle stiffness we adopt:
Construction of the RG Stream-Line Plot
Choose a two-dimensional section (e.g., ).
Set initial conditions on a lattice of points and follow the stream-lines from each node.
Visualisation: employ the
TikZ–PGFPlots package and implement a
streamplot-like routine to draw the flow diagram [
183].
Verification of Numerical Accuracy
Summary
The numerical scheme described here reproduces the RG flow defined by the multi-variable -functions with high precision, providing the platform for the fixed-point and stability analysis carried out in the next subsection.
2.27.2 Identification of Fixed Points and Linear Stability Analysis
We now identify, both numerically and analytically, the fixed points of the multi-variable RG-flow equations
and
and perform a rigorous linear stability analysis using the Jacobian matrix [
185].
Definition of Fixed Points
Numerical Identification Procedure
Construction of the Jacobian Matrix
At a fixed point
the Jacobian components read
Linear Stability Analysis
Worked Example: Two-Coupling Model
For the toy model with
,
:
using
we find the fixed point
with Jacobian eigenvalues
.
Figure 1.
Linear-stability spectrum at the fixed point of the two-coupling model.
Figure 1.
Linear-stability spectrum at the fixed point of the two-coupling model.
Summary
The numerical and analytical methods presented here allow a rigorous identification of the fixed points of the UEE RG flow and an evaluation of their linear stability, interpreted physically through the critical exponents. This completes the phase-structure analysis of the quantum field theory based on the UEE framework.
2.28. Fujikawa Jacobian and Anomaly: Complete Proof of the Non-Contribution of Dissipative Terms
2.28.2 Complete Proof of the Non-Contribution of Dissipative Terms
Structure of the Dissipative Generator in the UEE
In the UEE the dissipative sector is
where each
belongs to the Clifford–gauge operator family
and is independent of the fermionic measure.
No Modification of the Anomalous Term
Consequently, even in the presence of dissipation the local axial rotation yields the same Jacobian, and the anomaly contains only the pure gauge term; contributes nothing at all.
Summary of the Complete Proof
Using the Fujikawa Jacobian and the heat-kernel expansion we have shown at the operator level that the dissipative sector of the UEE is entirely non-contributory to the axial anomaly: the anomaly is saturated by the familiar gauge term alone.
2.29. CPT Invariance and Experimental Constraints
2.29.1 Theoretical Proof of CPT Invariance
In this section we prove rigorously that the full generator of the Unified Evolution Equation (UEE),
is invariant under the combined Charge–Parity–Time reversal transformation (CPT), denoted by the anti-unitary operator
[
194,
195].
Invariance of the Dirac–Gauge Operator
For the self-adjoint operator
we have
whence
[
197].
Invariance of the Fractal Operator
Because
is a scalar operator and □ is CPT invariant, we obtain
Invariance of the Dissipative Kernels
Each dissipative operator
satisfies
once the support functions obey
.
Invariance of the Full Generator
Since both the reversible part and the dissipative part are separately invariant, we conclude
Summary
We have provided a complete, operator-level proof that , hence the UEE preserves CPT invariance.
2.29.2 Experimental Constraints: the K-Meson System and Electric Dipole Moments (EDMs)
In this section, assuming that the UEE preserves CPT invariance, we use the most stringent experimental data—CP violation in the neutral K-meson system and the bounds on the electron and neutron EDMs—to derive rigorous constraints on the dissipative and reversible parameters that appear in the UEE.
2.29.2-1 CP-Violation Bounds in the K-Meson System
CP-violation parameters in – mixing
For the neutral
K-meson system, CP violation is characterised by
[
180], and by the ratio that measures direct CP violation,
[
198].
Connection to UEE parameters
While the dissipative channels
defined in Chap. 2 respect CP covariance, tiny contributions can arise from the reversible–dissipative mixing term
or from a possible asymmetry in the dissipative widths. Modelling such effects gives
Constraint from data
Requiring that the new contribution does not exceed the experimental value,
implies
2.29.2-2 Constraints from Electron and Neutron EDMs
Current experimental limits
The strongest bounds are
[
199],
[
200],
EDM generation in the UEE
The mixing term
can generate P- and T-odd operators, and one–loop diagrams involving fermion–dissipative interactions can induce an EDM. Introducing the effective operator
the UEE contribution is schematically
Bounds on the dissipative matrix elements
The experimental limits require
with model-dependent coefficients
and
.
2.29.2-3 Combined Analysis of the Parameter Space
Combining the two sets of bounds
Putting together the constraints from
K-meson CP violation and EDMs we find
Plotting the constraint curves
In the plane
one has
Physical implications
These bounds force the dissipative parameters in the UEE to be extremely small, implying that any novel dissipative effect beyond the standard quantum field theory framework must be at most of order in the K system and in the electron EDM sector—well below current detection capabilities.
Summary
By combining the tightest experimental limits from CP violation in the K-meson system and from EDM measurements, we have derived stringent upper bounds on the dissipative channel parameters in the UEE, thereby delineating the viable region of the parameter space.
2.30. Completely Positive Semigroup Generation Theorem
2.30.1 Foundations of Semigroup Generation and the Hille–Yosida Theorem
In this subsection we first review the basics of strongly continuous operator semigroups and then give a line-by-line proof of the Hille–Yosida theorem [
18,
36].
Preliminaries: strongly continuous operator semigroups
A family of bounded operators
on a Hilbert space
is called a
strongly continuous (or ) semigroup if
The symbol
stresses strong continuity at
[
6].
Definition of the generator
The (infinitesimal) generator
A of a
-semigroup is defined by
Statement of the Hille–Yosida theorem
Theorem 15 (Hille–Yosida [
18,
36])
. A closed operator A generates a strongly continuous semigroup on iff
the following two conditions hold:
-
(i)
is dense in and A is closed.
-
(ii)
There exist constants and such that and
Outline of the proof
The proof proceeds in three steps [
37]:
(Necessity) Starting from a -semigroup, show that its generator satisfies (i) and (ii).
(Sufficiency) Assuming (i) and (ii), introduce the Yosida approximation , construct the bounded semigroups , and verify .
(Convergence & uniqueness) Prove that converges strongly and that the limit is the unique -semigroup generated by A.
Details of the necessity part
Strong continuity implies density of
; closedness follows from
The Laplace–transform representation
(valid for
) yields (ii).
Details of the sufficiency part
Let
and set
. Each
is bounded and self-adjoint, and
on
. Define
, then
Construction of the semigroup
Setting one checks , the semigroup law, and strong continuity; hence A indeed generates a -semigroup.
2.30.2 From Lindblad Generators to CPTP Semigroups
Using Theorem 15 we now prove that any Gorini–Kossakowski–Lindblad–Sudarshan (GKLS) generator
generates a completely positive, trace-preserving (
) semigroup on the trace-class
.
Definition of a CPTP semigroup
A family
is CPTP iff, for all
,
Properties of the Lindblad generator
is dense.
is closed and, by the relative boundedness results of Sect. 2.21, its relative bound is .
(trace preservation).
The resolvent estimate holds for .
Semigroup generation
Conditions (1)–(4) satisfy Theorem 15; hence generates a unique -semigroup .
Preservation of the trace
Trace preservation of follows from by integrating the differential equation .
Proof of complete positivity
Using the Trotter–Kato formula[
68,
201] decompose
and define
.
is unitary (hence CP).
has a Kraus form and is CP.
A strong limit of CP maps is CP; thus is CP.
Conclusion
Therefore the GKLS generator produces a strongly continuous CPTP semigroup .
Summary
Combining the Hille–Yosida theorem with the Lindblad structure we have rigorously established that the UEE generator defines a mathematically sound CPTP dynamics.
2.31. Benign Nature of the Zero-Area Resonance Kernel
In this section we rigorously prove that the zero-area resonance kernel operator R is harmless, i.e., it does not spoil any of the mathematical properties of the UEE. We do so from the following viewpoints:
relative boundedness;
fulfillment of operator domains;
preservation of essential self-adjointness;
maintenance of complete positivity and trace preservation (CPTP);
guarantee of entropy monotonicity;
consistent incorporation into the cancelling identity.
2.31.1 Relative boundedness
Lemma 11 (Relative boundedness)
. The operator is relatively bounded with respect to the Dirac operator D; that is, for every
Proof. Using the spectral resolution
and the double-commutator form one has
Norm estimation gives
The double-commutator obeys the Sobolev-space estimate [
6]
whence choosing
and
proves the lemma. □
2.31.2 Domains and self-adjointness
Lemma 12 (Fulfilment of the domain)
. Since R is bounded, its domain is the whole Hilbert space H, i.e.,
Proof. A bounded operator acts on all of H by definition. □
Theorem 16 (Preservation of essential self-adjointness)
. The extended Dirac operator
remains essentially self-adjoint and satisfies .
Proof. Owing to the relative boundedness with
and the symmetry of
R, the Kato–Rellich theorem [
56] implies that
preserves essential self-adjointness and shares the same domain with
D. □
2.31.3 CPTP property and entropy monotonicity
Theorem 17 (Preservation of CPTP)
. The total generator of the UEE
still preserves complete positivity and trace, hence generates a CPTP semigroup.
Theorem 18 (Entropy monotonicity)
. The von Neumann entropy satisfies
i.e., it increases monotonically under the dissipative time evolution.
Proof. By Spohn’s entropy production formula [
154],
. Moreover,
R commutes with
so that
; hence the monotonicity is preserved for the total generator. □
2.31.4 Integration into the cancelling identity
The operator
R fits naturally into the cancelling identity of Sect. 2.15,
which is extended to
[
101].
Summary
We have shown rigorously that the zero-area resonance kernel R leaves unchanged all fundamental properties of the UEE—relative boundedness, domain structure, essential self-adjointness, CPTP semigroup generation, entropy monotonicity, and the cancelling identity—thereby establishing its harmlessness.
3. Multi-Formulation of the Unified Evolution Equation
3.1. Density-Operator Formulation (UEE)
The time evolution of the UEE is described by the total generator
:
3.1.1-1 Definition of the Density Operator and Derivation of the Reversible Generator
Exact definition of the density operator
For a quantum system on a Hilbert space
, its statistical state is represented by a density operator
, i.e., a trace-class operator belonging to
and satisfying the following conditions (Definition 2.19.1):
Here
means
for every
, and
denotes the trace (Definition 2.1.1, Equation (4)).
Topology and properties of the space of density operators
is a Banach space with the norm
. Any
can be decomposed as a convex mixture of pure states,
[
203]. Moreover, the set
is convex and weak
-compact in the
-topology (the dual of the trace-class is
) [
63].
Unitary time evolution: the Liouville–von Neumann equation
Reversible time evolution generated by the Hamiltonian
H is given by the Liouville–von Neumann equation
[
204]. Define the generator
with domain
which is dense in
and forms a closed operator [
19].
Verification of the Hille–Yosida condition
For to generate a strongly continuous operator semigroup , it must satisfy the Hille–Yosida theorem (Theorem 15):
- (i)
is dense and is closed.
- (ii)
There exist constants
,
such that
For the reversible part one can take
and
. Using the resolvent representation
it follows that
for any
, fulfilling condition (ii) [
37].
Conclusion on generator property
Hence
satisfies all assumptions of the Hille–Yosida theorem (Theorem 15) and generates the unique strongly continuous operator semigroup
[
36]. The unitary time evolution governed by
is therefore rigorously established.
Incorporation into the total generator
The full UEE dynamics is described by the
total generator
where
is the reversible generator derived above,
is the dissipative Lindblad component, and
R is the zero-area resonance kernel (for its properties and harmlessness see §
2.31).
3.1.2-2-1 Norm-convergence proof of the Dyson–Phillips series
Requirement for norm convergence
For the Dyson–Phillips series
to converge in norm and coincide with the semigroup
, the absolute sum of the operator norms
must be demonstrated, where
denotes the trace-norm operator norm.
Growth constants of the principal semigroup
By the Hille–Yosida theorem [
36,
37], the strongly continuous semigroup
generated by
satisfies
for some constants
and
. For the Liouville–von Neumann generator one naturally has
and
, but we keep the general form.
Norm of the bounded perturbation K
Including the dissipative operator
and the resonance kernel
R,
we define
Inductive bound via recursive estimation
From the definition of the Dyson–Phillips series,
Estimating the norm yields
Assume inductively that
holds for all
. Then
The base case
follows from
.
Absolute convergence of the series and consistency with the semigroup
Consequently,
Thus the Dyson–Phillips series converges in norm, and the limit
is a bounded operator. Reversing the series derivation via the Duhamel formula [
37,
205] shows that
obeys the semigroup law
and that its generator equals
[
152,
153].
Summary
For bounded perturbation
with finite
, the Dyson–Phillips series rigorously guarantees norm convergence and coincidence with the semigroup
[
205]. Hence the semigroup
representing the solution of the unified master equation
is constructed in an operator-theoretic manner.
3.1.2-2-2 Strong Convergence and Identity with the Operator Semigroup
Significance of strong convergence versus norm convergence
For the Dyson–Phillips series
norm convergence was established in Section 3.1.0.17. In operator–semigroup theory, however,
strong convergence is in general sufficient [
37,
205]. Here, strong convergence means that for any fixed
By contrast, norm convergence employs
to ensure
, but on
strong convergence is usually enough [
56].
Proof of strong convergence: successive approximation and closedness
Define the partial sums of the Dyson–Phillips series by
. Each
satisfies, as an approximation to the strongly continuous semigroup,
where we agree that
. Using the essential closedness of the semigroup generator
and the limit process in the Duhamel formula ([
37], Ch. 3), exchange of the limit with time differentiation is justified, yielding strong convergence.
Strong differentiability and uniqueness of the Cauchy problem
The constructed strongly continuous family
obeys
and therefore provides the unique solution
of the abstract Cauchy problem
as guaranteed by Theorem 2.30.1 and
Section 3.1.
Preservation of the semigroup law
Directly from the Dyson–Phillips series one obtains
and the remainder
vanishes in norm (hence strongly). Consequently,
so the constructed
is indeed an operator semigroup [
152,
153].
Consistency with the master equation
Finally,
coinciding with the term–by–term differentiation of the Duhamel-based series and reproducing the original master equation
Summary
For a bounded perturbation
with finite
, the Dyson–Phillips series ensures both norm and strong convergence, rigorously securing the semigroup law and agreement with
[
37,
205]. Thus, an operator–theoretic construction of irreversible solutions in UEE
is achieved.
3.1.3-1 Existence of Stationary States and Analytic Construction
Definition of stationary states
(see §
2.31), consider the master equation
Definition 60 (Stationary state)
. A density operator is called a stationary state if
Guarantee of existence
Because
and
R are bounded and
remains a CPTP generator (Theorem 2.31.3, §
2.31), the semigroup
maps the convex compact set
into itself.
Proposition 70 (Existence of stationary states)
. Every CPTP semigroup possesses at least one stationary state [1,206].
Proof. The map
is continuous and preserves trace and positivity. Brouwer–Schauder’s fixed–point theorem [
206] ensures a fixed point
with
, equivalent to
. □
Uniqueness and convergence
Uniqueness is guaranteed if the semigroup is
primitive (irreducible and asymptotically ergodic) [
207,
208], i.e.,
for all states
.
Analytic construction via spectral projection
The spectrum
lies in
. The spectral projection onto the kernel of
is
so that
. For any initial state
,
up to normalisation to unit trace.
Example: two–level system (simplified case )
Consider a two–level system (
) with Hamiltonian
and dissipator
With
, solving
yields [
1]
i.e., the thermal Gibbs distribution, with
T determined by
through detailed balance.
Summary
This subsection has demonstrated
existence of stationary states via fixed–point theorems [
1,
206];
analytic construction using the spectral projection
[
56];
an explicit two–level example with
[
1].
The next subsection analyses the convergence rate towards the stationary state via the spectral gap.
3.1.3-2 Convergence and the Spectral Gap
Spectral structure of the generator
For the master–equation generator
the Hille–Yosida condition (Theorem 15) implies that
is closed and its spectrum is contained in the left half–plane [
209,
210]. Because the zero–area resonance kernel
R is bounded with
(Lemma 2.31.2, §
2.31), the real–part boundary of
coincides with that of
. To guarantee asymptotic stability of a unique stationary state we introduce the
spectral gap.
Definition 61 (Spectral gap)
. For the spectrum define
If we call Δ the spectral gap
[211].
General theorem of exponential convergence
Whenever the spectral gap is strictly positive, every initial state converges exponentially to the stationary state .
Theorem 19 (Exponential convergence)
. For a semigroup with gap ,
holds for any . Here depends on the growth bound of the semigroup [152,208].
Proof. Using the spectral projection
onto the kernel of
and the decomposition
, one shows that the spectrum of
lies in
. Writing
and estimating the remainder by
yields the claim (Phillips [
152]; Davies–Spohn [
208]). □
Gap estimation à la Davies–Spohn
In concrete models the spectral gap
can be bounded from below by the number of dissipative channels and the coupling strengths. For the standard two–level system (Section 3.1.0.29) one finds simply
where
is the dissipation rate. For multi–level or spin–chain models, the Davies–Spohn asymptotic method [
154,
211] gives
with a correction
stemming from second–order dissipative interactions. Since the zero–area kernel
R is bounded and purely imaginary, it does not alter this lower bound.
Numerical illustrations and explicit lower bounds
For the two–level model with dissipation rate
one obtains the exact gap
. Applying the Davies–Spohn estimate to a three–level laser model with pump
and decay
[
154] yields
so for typical
one has
, guaranteeing exponential convergence.
Physical example: resonant dissipative systems
For resonant dissipative systems such as laser–driven atoms or qubit–environment models,
with a bounded zero–area kernel
R of sufficiently narrow frequency width, one finds
so Theorem 19 predicts a convergence rate set by
.
Summary
Even in the presence of the zero–area kernel R, a positive spectral gap guarantees exponential convergence to the stationary state. Estimating through dissipation rates and interaction strengths bridges theoretical predictions with numerical simulations of relaxation times.
3.1.3-3 Definition and Proof of Ergodicity
Definition of quantum ergodicity
For the semigroup
generated by
(see §
2.31), acting on
, ergodicity means that time averages project onto the stationary state [
90].
Definition 62 (Quantum ergodicity)
. The semigroup is ergodic
if for every initial state
where is the spectral projection for the eigenvalue and .
Simple zero eigenvalue and ergodic operators
Ergodicity is characterised as follows.
Proposition 71 (Necessary and sufficient conditions for ergodicity). The semigroup is ergodic iff
-
(i)
is a simple eigenvalue of () [73];
-
(ii)
, i.e., a positive spectral gap exists [211,212].
Proof.
Necessity: For the time average
to converge to
, the zero eigenspace must be one–dimensional and the remainder spectrum must lie in the open left half–plane, yielding exponential decay [
205].
Sufficiency: If (i) and (ii) hold then
and
. Hence
proving ergodicity. □
Application of the Dunford–Schwartz ergodic theorem
For bounded positive operators
holds (Dunford–Schwartz [
90]; Pazy Thm. 5.2.4 [
37]). Proposition 71 is equivalent to this strong–operator–topology projection.
Physical implication: unique convergence to equilibrium
Quantum ergodicity ensures that any initial state
satisfies
so the system “forgets” its initial conditions and reaches a unique equilibrium, consistent with entropy increase in statistical mechanics [
2,
213].
Summary
For the total generator with a zero–area kernel, quantum ergodicity is equivalent to
Hence the stationary solution in UEE is unique, stable, and attained in the long–time limit.
3.2. Variational Principle Form ()
3.2.1 Rigorous Definition of the Action Functional
In this subsection we rigorously define the action functional that forms the foundation of UEE
and discuss its mathematical properties [
29,
30]. We first construct the reversible and irreversible parts separately and finally combine them into a single complex action.
3.2.1-1 Definition of the Reversible Action Functional and Gauge–Gravitational Covariance
Definition
For a spinor field
and its conjugate
, we introduce the gauge–gravitational covariant derivative
and define the reversible action functional by
[
214]. Here
denote, respectively, the vierbein, the Clifford basis, the spin connection, and the Yang–Mills connection, while
.
Gauge–gravitational covariance
Under a local
transformation
one has
and therefore
so
is manifestly covariant under local gauge and gravitational transformations [
215].
3.2.1-2 Construction of the Irreversible Dissipative Functional : Borel Representation via Barnes–Lagrange Elimination
Barnes–Lagrange elimination and Borel representation
If the series diverges, one regularises it using the Barnes–Lagrange elimination theorem [
25,
217] and the Mellin–Barnes integral representation [
123]:
Applying the Borel transform
one rewrites
[
218]. Since
K is a bounded CPTP generator,
and the Borel representation converges.
3.2.1-3 Mathematical Properties of the Total Action (Complex Action, Role of Real and Imaginary Parts)
Definition as a complex action
Combining the reversible
and the irreversible
yields the complex action
[
219]. Its real part
governs unitary time evolution, while the imaginary part
accounts for entropy production and dissipation.
Physical roles of the real and imaginary parts
Analyticity of the complex action
is Fréchet–holomorphic, so complex variational calculus applies [
220]. In particular, stationary-phase approximations are justified for perturbative expansions.
3.2.1-4 Density and Domain: Fréchet Differentiability of the Action Functional on Sobolev Spaces
Domain specification
The fields
lie in the Sobolev space
with
[
34].
The density operator
lies in the Schatten–von Neumann class
so that
is trace-class [
71].
Fréchet differentiability
Since
is a composition of continuous linear functionals on
, it is Fréchet differentiable. For
, the Borel form gives
hence
is Fréchet differentiable in
.
Summary
Section 3.2.1 has rigorously constructed the action functional of UEE and established
gauge–gravitational covariance of the reversible part ;
Borel regularisation of the irreversible part including the zero–area kernel R;
the complex structure and Fréchet differentiability of the total action .
3.2.2 Derivation of the Euler–Lagrange Variational Equations
In this subsection we perform the Fréchet variation of the complex action functional
defined in the previous subsection, and derive the Euler–Lagrange equations. The reversible and irreversible parts are varied separately, boundary terms are handled, and consistent natural boundary conditions are imposed [
30,
219,
221].
3.2.2-1 Derivation of Field Equations from the First Variation
Write the action as
[
214]. The independent variables are
,
, and
.
(i) Variation with respect to
222. Eliminating the boundary terms gives
(ii) Variation with respect to
(iii) Variation with respect to
For the dissipative part
the variation is
Therefore
which yields the master equation
[
37,
213].
3.2.2-4 Compatibility of Hermiticity and Dissipation in the Variational Equations
The reversible part
is self–adjoint Section 2.6.2; Stone’s theorem [
35]), the irreversible part
is Lindblad–Gorini–Kossakowski–Sudarshan completely positive [
2,
8] (Section 2.30.2), and the zero–area kernel
R is a bounded double–commutator preserving CPTP character (Theorem 2.31.3, §
2.31; Kato–Rellich relative boundedness [
56]). Thus the total equation
simultaneously satisfies Hermiticity in the first term (unitary flow) and GKLS–type dissipativity in the latter terms, ensuring complete consistency [
1].
3.2.3 Minimisation of the Dissipative Functional and Resonance
In this subsection we explain in detail, at the level of individual equations, how the minimisation principle of the irreversible dissipative functional in UEE leads to resonant phenomena through an eigenmode analysis. We further present the correspondence with nonequilibrium statistical mechanics via the saddle-point approximation and rigorously establish the energy–entropy relation by means of the Lagrange-multiplier method.
3.2.3-1 Variational Minimisation Condition for the Dissipative Functional and Its Physical Interpretation
Variational minimisation condition
Using the Borel representation [
25,
217], the dissipative functional is
Imposing the condition
gives
Hence the stationary state satisfies
in accordance with Theorem 2.31.3 of §
2.31.
Physical interpretation
Minimising
is the quantum analogue of Prigogine’s principle of minimum entropy production: the entropy-production rate
is minimised [
147,
223]. At this minimum the system relaxes through its slowest mode, and resonance emerges.
3.2.3-2 Derivation of Resonance Frequencies via Eigenmode Analysis
Eigenmode equation
Expanding to second order with
[
224],
Define
whose spectrum
yields the resonance frequencies. For weak dissipation
,
[
225].
3.2.3-3 Saddle-Point Approximation and Hyperbolic Resonance: Link to Nonequilibrium Statistical Mechanics
Introducing the saddle-point approximation
Applying a path-integral approximation to the complex action
[
219],
where the saddle-point
satisfies
and corresponds to a resonance point [
226].
Hyperbolic resonance and nonequilibrium fluctuations
Because the imaginary part
allows negative real parts for the eigenvalues of the fluctuation matrix
, “hyperbolic resonance” occurs, capturing the nonequilibrium fluctuation modes of large-deviation theory [
227].
3.2.3-4 Minimisation Condition and the Energy–Entropy Correspondence via the Lagrange-Multiplier Method
Lagrange-multiplier method
Introducing
the stationarity condition
yields
where
identifies the inverse temperature and gives
[
143].
Physical implications
Minimising
with the zero-area kernel included combines Jaynes’ maximum-entropy principle with Lindblad dynamics, selecting the optimal dissipative pathway for nonequilibrium relaxation [
213,
223].
3.4. Proof of Equivalence Between the Formulations
3.4.1-1 Identity of the Master Equations in UEE and UEE
Master equation from the variational principle
In the variational form the action functional is split as
with
[
1], where
is the evolution parameter. Varying
S gives
Differentiating with respect to time yields
identical to the operator form.
Proof of identity
Term-by-term comparison shows
corresponds to the unitary generator
(Stone’s theorem [
35]).
Calculating by matrix calculus reproduces both the Lindblad–GKLS dissipator and the zero-area resonance kernel , fully matching the total generator .
3.4.1-2 Reconstruction of Reversible and Dissipative Terms from the Action Functional
Reversible part
Varying with respect to
gives
and Stone’s theorem [
35] yields
.
Dissipative part
Writing
with
one finds
so
is recovered [
1].
3.4.1-3 Consistency with the KMS Condition
KMS condition revisited
The thermal state
satisfies the Kubo–Martin–Schwinger condition [
50,
238]
Consistency in UEE
For
to obey
one requires
. The reversible term vanishes and
. Because
, the condition is met if the Lindblad operators satisfy the KMS adjoint relation
[
154].
Consistency in UEE
In the variational form, likewise gives , leading to the same equilibrium state.
Thus, even with the zero-area resonance kernel R, the operator and variational formulations are exactly equivalent at the levels of generator, master equation, and equilibrium solution.
3.4.2-1 Reduction from the Euler–Lagrange Equations to a System of PDEs
Restatement of the action principle
For the action
taking functional derivatives yields[
30,
157]
[
239],
[
240],
which together constitute the four–field coupled PDE system of UEE
.
3.4.2-2 Localisation via the Second Variation and Derivation of Interaction Terms
Interactions from the second variation
Taking the second functional variation of the action with respect to the field variables [
241], we obtain
The cross-term
provides the local PDE form of the fractal–information coupling [
240].
Example of the resulting local PDE
From the
–
sector one obtains, for instance,
leading to the local differential equation
3.4.2-3 Continuum Limit and Mode Consistency via Spectral Expansion
Borel–Barnes continuum limit
Viewing the non-local functional as the spectral series
and taking
so that
, one finds
which converges to a local operator series whose higher-order terms match integer-order derivatives [
240].
Spectral consistency
For mode expansion
, the field equation
coincides with the eigenvalue problem that follows from the linearised second variation
[
241]. Thus the mode dynamics are identical in both the variational and the field-equation formulations.
Consequently, the Euler–Lagrange equations of UEE and the field equations of UEE reduce rigorously to the same local PDEs—with complete equivalence under both the continuum limit and spectral analysis.
3.4.3-1 Reinterpreting the Operator Generator as a Field-Dependent Operator
The generator in the operator form is
[
35];
[
2,
8];
[
24]). Reinterpreting
locally as
,
[
242]. The Lindblad term becomes
Thus each component of the generator is fully reconstructed as a field operator.
3.4.3-2 Operator–Field Correspondence Mapping
Define the mapping , , , .
| Operator form |
Field-equation form |
|
|
| D |
|
|
|
|
|
Because this mapping is one-to-one, the master equation in the operator form translates rigorously into the field equations.
3.4.3-3 Consistency of Physical Interpretation: Conservation Laws and Symmetries
Energy–entropy conservation
The reversible field equation
ensures conservation of the Noether current
[
243]. With dissipative and resonance terms included, the continuity equation
aligns entropy production with trace preservation [
154].
Gauge–gravitational covariance
In the field formulation, transformations such as and manifestly preserve spinor–gauge–gravitational covariance, matching the covariance of the operator formulation.
Hence the operator, variational, and field-equation formulations share identical conservation laws and symmetries under the total generator , establishing the unified self-consistency of UEE even in the presence of the zero-area resonance kernel R.
3.5. Explicit Solutions of the UEE
3.5.1 Dissipative Solution in the Free Dirac Field
In this subsection we construct, in a completely closed form, the general solution of the master equation for a free Dirac operator
(Proposition 28) without external fields or interactions, augmented by a Lindblad-type dissipator
and the zero-area resonance kernel
R:
3.5.1-2 Spectral Decomposition of the Time-Evolution Operator
Construction via projector decomposition
For a discrete spectrum use projections
:
Then
With multiple Lindblad operators or with
R, use
.
Term separation via residue calculus
For continuous spectra the Mellin–Barnes representation
[
25] gives
displaying the contribution of each dissipative and resonant mode explicitly.
3.5.1-3 Evaluation of Damping Rates and Quantum-Entropy Production
Mode-wise decay rate
off-diagonal projector components obey
where
is the total damping rate, including the contribution of
R. The zero-area condition ensures
and
[
24].
Quantum-entropy production rate
For the von Neumann entropy
[
154], since the reversible part does not contribute. In modal form
showing quantitatively that the total dissipation, including
R, causes monotonic entropy increase.
Thus, for the free Dirac field, the UEE master equation with the dissipator and the zero-area resonance kernel R is solved in a completely closed form via spectral decomposition, providing explicit expressions for mode-wise damping and quantum-entropy production.
3.5.2 One-Particle Model: Harmonic-Oscillator Approximation
In this subsection we reduce the UEE—complete with the fractal-dimension operator and dissipative terms—to a single-particle quantum harmonic-oscillator model and analyse it. The wave-function space is ; we introduce the position operator x and momentum operator . The analysis proceeds in three parts.
3.5.2-1 Model Definition and Hamiltonian
The bare harmonic-oscillator Hamiltonian is
[
244]. To mimic fractal effects we add a “fractal correction”,
where the function
f approximates the projection of
(see § 2.5.3) onto the discrete energy basis [
245]:
Hence, for an oscillator eigenstate
,
As a dissipative channel we use the standard annihilation operator
and define the Lindblad generator
[
2,
8]. For the zero-area resonance kernel we adopt the single-particle approximation
[
24], which satisfies the harmlessness condition of § 2.31. The single-particle master equation becomes
3.5.2-2 Time Evolution via the Dyson–Phillips Series
Split the generator as
The Dyson–Phillips series [
152]
provides the evolution.
First-order term
Second-order term
With
and
, one finds
; the series converges exponentially.
3.5.2-3 Numerical Example and Physical Interpretation
Initial State and Parameters
Set , , fractal strength , dissipation rate , resonance parameter , and initial state .
Energy-relaxation curve
The expectation value
in first-order approximation is
Coherence-Loss Time
For the off-diagonal element
:
yielding a decoherence time
.
Physical Interpretation
The fractal correction slightly shifts the eigenenergies and introduces a small phase change in the dissipative pathway.
The zero-area resonance term
R preserves trace and complete positivity; it modifies relaxation rates by
but remains sub-leading for
[
1].
Terms of order in the Dyson–Phillips series are negligible when ; first-order approximation is highly accurate.
Thus the single-particle harmonic oscillator furnishes a concrete arena in which to analyse the UEE master equation—including fractal corrections and the zero-area resonance kernel—quantifying relaxation and decoherence via the Dyson–Phillips series and numerical indicators.
3.6. Extension of the Energy–Entropy Correspondence
3.6.1 Identification of the Action Functional with Thermodynamic Quantities
In this subsection we consistently identify thermodynamic quantities such as energy and entropy from the action functional introduced in the variational formulation of the UEE (UEE
). Via a Legendre transformation we obtain the thermodynamic potentials and the equation of state. For the irreversible part we work with the full generator that includes the zero–area resonance kernel,
(1) Definition of the energy–entropy dual action functional
We define the spacetime action by
[
236]. The first term represents the entropy, the second the (internal) energy [
246], and the third encodes the entropy production generated by dissipation plus resonance (
).
(3) Equation of state and the first law
so that
and the first law becomes
(at fixed volume,
).
(4) Contribution of the irreversible term to the entropy–production law
The entropy–production rate arising from dissipation + resonance is
in agreement with Spohn’s inequality [
154]. Splitting
gives
; because of the zero–area condition,
, hence
, and the second law is unaffected.
Thus, thermodynamic quantities are consistently identified from the action functional, and the zero–area resonance kernel leaves the first and second laws intact while remaining innocuous for entropy production.
3.6.2 Integrative Framework with Nonequilibrium Statistical Mechanics
3.6.2-1 Correspondence Between the Master Equation and the Fokker–Planck Equation
Diagonalising the UEE master equation
[
2] in the energy eigenbasis shows that, owing to the double–commutator structure,
[
24]. Hence the diagonal elements
satisfy
[
248]. Taking the continuum limit yields the Fokker–Planck equation [
249]
where
and
are determined solely by the Lindblad part; the kernel
R leaves the transition rates unchanged.
3.6.2-2 Jarzynski Equality and Crooks Fluctuation Theorem
Even with reversible, dissipative, and resonant dynamics, an initial Gibbs state yields
[
41],
[
42]. Because the resonance kernel
R commutes with the work operator, its contribution vanishes by spectral compatibility.
3.6.2-3 Convergence to Thermal Equilibrium and the Detailed-Balance Condition
Since
does not act on diagonal elements, the detailed-balance condition
[
48] is governed solely by the Lindblad transition rates, and the stationary solution is the Gibbs distribution
.
3.6.2-4 Entropy-Production Rate During Thermalisation
The entropy-production rate is
[
154], with
(Zero-Area Lemma 2.31.2). Thus only the dissipative channels contribute to irreversible entropy production.
Consequently, the master/field-equation framework of the UEE remains fully compatible—despite the inclusion of the zero–area resonance kernel—with the central structures of nonequilibrium statistical mechanics (Fokker–Planck picture, Jarzynski equality, Crooks theorem). It consistently supports discussions of detailed balance and entropy production.
3.7. RG Improvement and Phase-Structure Analysis
3.7.2 Critical Exponents and Linear Stability
Here we linearise the RG flow around a fixed point, derive the critical exponents from the eigenvalue spectrum, test universality and scaling laws, and give a geometric interpretation of stable/unstable directions.
2-1 Linearised RG Equation and Eigenvalue Spectrum
With deviations
near
,
whose eigenvalues
and eigenvectors
give
Positive, negative, and zero
correspond to relevant, irrelevant, and marginal directions [
250,
252].
2-2 Calculation of the Critical Exponents
The correlation-length exponent is
with
the largest relevant eigenvalue. For anisotropic or dissipative fields, the dynamical exponent is
while the anomalous dimension is
[
104,
253].
2-3 Verification of Universality Classes and Scaling Laws
If the exponents
are independent of microscopic details (
) for the same fixed point, the UEE falls into the same universality class as, e.g., the Ising or
model [
256,
257].
2-4 Geometric Interpretation of Stable/Unstable Directions
Eigenvectors
define rotated axes in coupling space: relevant directions pierce the critical manifold, irrelevant directions lie tangentially on it, forming the geometric “valleys” and “ridges” of the flow [
258].
2-5 Monte-Carlo RG for Numerical Comparison
Monte-Carlo real-space RG on a lattice version (sizes
) with finite-size scaling gives
, confirming the analytical RG predictions [
259,
260].
Therefore the RG improvement of the UEE provides precise predictions of critical exponents via linear stability, confirms universality through simulations, and establishes a coherent framework for analysing phase structure and scaling behaviour.
3.8. Comparison with Other Theories
3.8.2 Comparison with the Conventional Lindblad Equation
2-1 Structural Differences Between the UEE Generator and the Standard Lindblad Generator
The generator of the UEE master equation contains the reversible and irreversible parts in a unified way,
whereas the standard Lindblad generator consists only of a unitary part and a dissipative part,
[
2,
8]. In the UEE, the “Hamiltonian’’
D is the Dirac operator or a field-theoretic nonequilibrium generator, while the dissipators
are local zeroth-order operators in the geometric family
[
267]. Moreover, the UEE adds the zero-area resonance kernel
R, whose role is to
cancel resonance peaks and dips in the reversible spectral range with zero total area [
240]—a major difference from the standard Lindblad form.
2-2 Comparison Proof of Complete Positivity and CPTP Conditions
The standard Lindblad generator is built to ensure complete positivity and trace preservation (CPTP) via the Kraus representation [
137]. The UEE dissipative block
likewise guarantees CPTP in two steps:
Lindblad part By the Hille–Yosida theorem [
209] and the Trotter–Kato approximation [
268],
generates a CP, trace-preserving semigroup.
Zero-area resonance kernel R Defined by
with
, the zero-area condition ensures
; the double-commutator structure preserves complete positivity [
269].
Hence is a CP, trace-preserving semigroup. While it belongs to the same CPTP class as the standard Lindblad case, the derivation relies on the operator algebra and the zero-area condition, distinguishing it conceptually.
2-3 Presence or Absence of Coupling Terms in an Effective Master Equation
The standard Lindblad equation confines system–bath interactions to a form where the reversible part
H and the dissipative channels
are
separable under the Born–Markov approximation [
1]. The UEE master equation
features non-trivial entanglement between the reversible generator
D and the dissipative block
K. Cross terms,
and
generally survive, automatically incorporating non-Markovian effects and Lamb-shift corrections beyond the Born–Markov level [
270].
2-4 Differences from the Viewpoint of Higher-Order Perturbation and the Born–Markov Approximation
The standard Lindblad form truncates the system–bath coupling at second order (Born) plus delta correlation (Markov); the generator is therefore restricted to finite order. The UEE, by using the geometric operator
and the Barnes–Lagrange elimination theorem [
123], reconstructs arbitrary orders of bath modes and self-interactions as a convergent series. The full dissipative block, including the zero-area resonance kernel
R, admits a convergent higher-order Trotter–Kato expansion [
37], guaranteeing a master equation valid well beyond Born–Markov.
2-5 Numerical Example: Decay Dynamics of a Two-Level System
Consider a two-level Hilbert space
:
where
with a time-dependent envelope
chosen to satisfy the zero-area condition
[
271]. Runge–Kutta integration shows:
Standard Lindblad: the excited-state probability decays monotonically and exponentially.
UEE: depending on , delayed relaxation and beat phenomena appear, producing combined oscillation–decay patterns unattainable with the standard Lindblad equation.
Thus the total generator in the UEE, including the zero-area resonance kernel, extends the conventional Lindblad generator while remaining CPTP, intrinsically containing cross-coupling and non-Markovian effects that the traditional theory omits.
3.9. Quantum-Information-Theoretic Perspective
3.9.1 Coherence Loss and the Decoherence Rate
In the UEE framework the irreversible dissipative processes constitute the principal mechanism by which the quantum coherence of a system decays in time. We first summarise the definition of quantum coherence and representative measures, then derive the general solution for coherence decay from the UEE master equation. After that we give a rigorous definition of the Decoherence Rate and clarify the non-Markovian effects that are characteristic of the UEE by comparing with the conventional Lindblad equation.
1-1 Definition and Measures of Quantum Coherence
Quantum coherence can be quantified by the magnitude of the off-diagonal elements of the density matrix. Two widely used measures are
-norm coherence [
272]:
Relative-entropy coherence [
272]:
The measure is intuitive, whereas has a clear information-theoretic meaning; together they provide complementary insights.
1-2 Modelling Coherence Decay with the UEE
Restricting the UEE master equation (see §
3.8)
to a two-level basis
, the off-diagonal element
obeys the first-order differential equation dictated by general Lindblad-type theory [
273]
where the coherence-decay rate due to the dissipators
is
For a general
N-level system an analogous rate
can be defined for each pair of levels.
1-3 Derivation of the Decoherence Rate
Solving the above equation with initial condition
gives
so that the
-norm coherence decays as
We therefore define
In the short-time limit the relative-entropy coherence behaves similarly,
[
1].
1-4 Comparative Analysis of Coherence Loss in Lindblad and UEE Dynamics
For the standard Lindblad equation the coherence-decay rate for each channel
is [
270]
In the UEE, allowing time-dependent coefficients
yields
so the coherence-loss rate can depend on time or position. Hence the UEE naturally incorporates non-Markovian memory effects and revival phenomena, marking a fundamental distinction from the conventional Lindblad description.
1-5 Numerical Example: Coherence Time and the Quantum Zeno Effect in a Two-Level System
For a two-level system with
and
,
The analytic solution is
For
,
, mirroring the exponential decay
of the Lindblad case. If frequent measurements are modelled by
with
, the Misra–Sudarshan quantum-Zeno effect [
274] suppresses coherence loss, i.e.,
.
We have thus shown that the UEE master equation describes coherence decay in a framework broader than the standard Lindblad form, naturally incorporating non-Markovian behaviour and quantitatively capturing phenomena such as the quantum Zeno effect.
3.9.2 Evaluation of Quantum-Entropy Production
Entropy production that accompanies the irreversible evolution of a quantum system plays a central role in formulating the quantum generalisation of the second law of thermodynamics. We begin with the definition of the von Neumann entropy, then derive—directly from the UEE action functional—the entropy-production functional . We discuss its relation to relative entropy, the lower bounds implied by the CPTP condition, and finally present a numerical example for a quantum heat-transport model.
2-1 Definition of Entropy Production: von Neumann Entropy
For a state
the von Neumann entropy is defined as
[
203,
246] and its time derivative is
because
. The negative of this derivative,
is called the
entropy-production rate.
2-2 Entropy-Production Functional from UEE
The variational action functional of UEE
(see § 3.2.2) is
Here
is the information-flux dual field. The variation
yields
Hence the entropy-production rate reads
so that the entropy-production functional is
When
contains a quadratic term
, we have
and obtain
making non-negativity manifest [
213].
2-3 Relation Between Relative Entropy and the Entropy-Production Rate
Define the relative entropy (Umegaki distance) [
275]
where
is the stationary state. Its time derivative is
with the flux term
representing entropy exchange with the environment [
154]. Thus
showing that as long as
decreases in time
, the internal entropy production must exceed the outward entropy flow.
2-4 Lower Bounds from the Second Law and the CPTP Condition
Under any completely positive, trace-preserving (CPTP) map, the Uhlmann–Lindblad inequality implies
[
276,
277]. Considering a reverse process with a heat bath at temperature
T, Landauer’s principle [
278] yields the bound
where
is the heat flux between system and bath. Hence the UEE respects the second-law lower bound
.
2-5 Numerical Simulation: A Quantum Heat-Transport Model
As an example we couple a two-level system to two bosonic heat baths at temperatures
. The hybrid Lindblad–UEE generator [
1]
is integrated numerically, where
. From
we compute the entropy-production rate
, confirming
until the stationary state is reached. We also verify that at stationarity
with
, in agreement with performance indicators of quantum heat-engine models [
279].
3.10. Summary
2-2 Concrete Examples: Dissipative Free Dirac Field and Harmonic-Oscillator Approximation
Dissipative free Dirac field (§3.5.1): Applying
to the Dirac operator
D reveals how the dissipator contributes to the dispersion via the imaginary part of the self-energy [
285].
One-particle model—harmonic-oscillator approximation (§3.5.2): A low-energy approximation reduces the fractal operator to a quadratic truncation and gives a harmonic-oscillator Hamiltonian. Line widths and decay rates agree across the Dyson–Phillips series (operator), the quadratic expansion of the action (variational), and the linearised field solution (field).
3-1 Identification of the Action Functional with Thermodynamic Quantities
The variational action
is fully analogous to the free-energy functional. Interpreting the time parameter
as the inverse temperature
identifies
consistent with Jaynes’ maximum-entropy principle [
228]. Introducing
yields directly the entropy-production relation
[
213].
3-2 Integration with Nonequilibrium Statistical Mechanics
The UEE encompasses the Crooks–Jarzynski equality [
41,
42] and the Green–Kubo relations [
50]. The path-integral representation
corresponds to the large-deviation rate functional, enabling derivations of quantum fluctuation theorems [
286].
4-1 RG Improvement: Multi-Coupling Phase Diagrams and Critical Exponents
Applying the Wilson–Polchinski RG equation [
251] to UEE
with dissipation and fractal couplings yields
-functions from which phase diagrams and critical exponents are extracted (§3.7). Linearisation around fixed points gives the spectrum of eigenvalues
; Monte-Carlo RG confirms the universality class [
287].
4. Proof of the Complete Embedding of General Relativity
In this chapter we perform a full variation of the unified UEE action with respect to the vierbein and the spin connection and prove the following four statements:
- (i)
Derivation of the Einstein–Palatini equation
[
29]
- (ii)
Satisfaction of the torsion-free condition
[
29]
- (iii)
Consistency between the covariant conservation law
and the Bianchi identity [
29]
- (iv)
Complete recovery of the Einstein–Yang–Mills–Dirac theory in the low-energy limit
[
30,
31]
These results prove that the UEE fully contains general relativity (GR) as a sub-sector.
4.1. Unified Action and Notation
Unified Action
, , .
[
29],
[
30].
[
21],
.
4.2. Einstein Equation from Vierbein Variation
Definition of the Stress–Energy–Momentum Tensor
For each action
(
) we define the vierbein variation as
In the following we derive
explicitly.
4.3. Complete Derivation of the Stress–Energy–Momentum Tensor
In this section we vary the vierbein in each partial action
,
and derive the corresponding tensors
explicitly at the operator level.
Yang–Mills Part:
Using (22) and (23) [
30],
Spinor Part:
Varying
in the Dirac part and in the volume element, discarding total derivatives, gives
where
. Using the Dirac equation
[
21], the trace term vanishes:
Fractal Part:
The variation contains the
e term and the metric dependence of
through
:
The second term can be expanded as a curvature series
using
[
23].
Establishment of the Einstein–Palatini Equation
Requiring the total action to be stationary,
, and combining (24) with (25), gives
Hence
is derived exactly [
29].
4.4. Variation of the Spin Connection and the Torsion-Free Condition
We perform the
Palatini variation, treating the spin connection
as an independent variable with respect to the vierbein
[
29]. Only the curvature term of
and the covariant derivative in
depend on
.
Variation of the EH Term with Respect to
where
[
29]. Integrating by parts and using the arbitrariness of
we obtain
that is
Variation of the Spinor Term with Respect to
[
21], which is completely antisymmetric because
. Imposing (27) yields
. Hence the torsion-free condition is preserved even in the presence of spinor couplings.
Conclusion.
Equation (27) implies
namely the spin connection is uniquely reduced to the
Levi-Civita connection [
29].
4.5. Bianchi Identity and Energy Conservation
Derivation of the Covariant Conservation Law
Using the Einstein–Palatini equation (4.3) together with the geometric identity
[
29] we obtain
where
. Thus the
sum of all contributions is conserved even in the presence of dissipative sectors
.
Internal Cancellation of Dissipative Sources
From the UEE
field equations (Chapter 3, §3.4)
we find
so that (4.5) holds. Physically this corresponds to the statement that “the energy lost by dissipation is carried by the information-flux field.”
4.6. Low-Energy Limit and Integer-Dimensional Recovery
Curvature Expansion of the Fractal Operator
Expanding
in powers of
gives
so that
The trace
is expanded via the Seeley–DeWitt series in terms of the scalar curvature
R and the Ricci tensor
,
[
16,
288]. The coefficients
are listed below.
Table of Curvature-Expansion Coefficients
For reference, the coefficients from the Seeley–DeWitt expansion of to order and the derived coefficients are tabulated.
| Symbol |
Expression (4-D) |
Comment |
|
1 |
volume term |
|
|
scalar curvature |
|
|
Seeley–DeWitt coefficient |
|
|
coefficient of R
|
|
|
coefficient of
|
|
|
coefficient of
|
Using these values, equation (
32) becomes
which can be used directly for numerical estimates of the
suppression.
Limit
Using (28) together with the definition of
in (4.3) one finds
so that
Moreover, because
, one recovers
High–Curvature Terms and Unitarity
For finite
one has
[
16,
288], with
. By the relative boundedness estimate below, the generator preserves the
-semigroup property and no ghosts appear provided that
[
289].
Complete Proof of Relative Boundedness of the High– Curvature Extension and -Semigroup Generation
Theorem (relative boundedness and semigroup property).
Let the total generator be
acting on the Banach space (trace-class operators). The high–curvature perturbation is relatively bounded with respect to the invertible generator [19,24], and if
where is the maximal eigenvalue of the metric curvature and , then generates a strongly continuous semigroup [
36,
37].
Proof.
-
Decomposition and norm estimate
The reversible part is closed, while the dissipative part is bounded (see §2.30.0.7, §2.31): .
-
Relative boundedness of the curvature perturbation
The curvature operator
obeys
. Because the kernel map
is bounded with
, we obtain
with
. If
the relative boundedness is established.
-
Application of the Kato–Rellich perturbation theorem
With
, the operator
is closed and generates a
semigroup (Kato–Rellich [
24]). Adding the bounded perturbation
K preserves the
-semigroup property [
37].
Hence
exists, and the Dyson–Phillips series [
36,
290]
obeys
□
Physical implication.
Taking
and
naturally satisfies
; therefore the UEE–GR extension with high–curvature corrections maintains
(i) unitarity,
(ii) energy conservation, and
(iii) ergodicity and monotonic entropy production (cf. §
2.31, §
3.9).
Experimental Constraints and PPN Coefficients
The
-suppressed terms contribute to the post-Newtonian expansion as
Using the Cassini bound
, one obtains
for
, ensuring that the corrections are sufficiently suppressed (see §4.10).
4.7. Post-Newtonian Expansion and Consistency with Experiments
In the weak–field, low–velocity regime we write
with
and parameterise
. Substituting the
-suppressed pieces of
and
into the Einstein–Palatini equations (4.3) gives
where
and
are the coefficients of the
R and
terms in Eq. (28).
Numerical values for .
With
and
we obtain
Both values lie far below the present observational bounds
(Cassini) and
(LLR), yielding safety factors of
.
Inverse bound (for completeness).
Imposing the Cassini limit on Eq. (4.7.1) with the above
yields only
so the theory value
(sourced by
) easily satisfies all post-Newtonian tests. The UEE therefore remains fully compatible with existing solar-system and binary-pulsar constraints.
4.8. Derivation of the Curvature-Expansion Coefficients for the Fractal Term
We compute the
contribution of
by applying the heat-kernel expansion (Seeley–DeWitt technique [
291,
292,
293]).
4.8.1 Leading order
Using the standard heat-kernel series
and the Mellin inversion formula [
27]
one obtains
Explicit coefficient .
Substituting (29) into
gives
so that
(corresponding numerically to
).
4.8.2 Summary and Higher-Curvature Series
Collecting (
30) and (
31) we have
Terms of
and beyond include the standard Seeley–DeWitt coefficients
,
, etc. (see [
291,
292,
293]); for the low-energy discussions in this chapter, the leading
term (32) is sufficient.
Higgs vacuum correction. Even after electroweak symmetry breaking, , the operator is a zeroth-order gauge-invariant operator; therefore the coefficient receives no corrections until . Consequently the contribution in (32) is stable against vacuum-expectation-value effects.
4.9. Higher-Curvature Extension: Relative Boundedness and Semigroup Generation
We split the total generator as
where
From the Sobolev to the Kato–Rellich inequality.
Write the
operator as
and use the one–point spectral decomposition of
,
. On a three-dimensional Sobolev domain we have
[
34]. Applying Cauchy–Schwarz twice one finds
so that
is
relatively bounded by
; the Kato–Rellich condition is satisfied provided
[
19,
24].
From the Sobolev estimate we therefore obtain
with
. Because
is self-adjoint,
and the Kato–Rellich theorem [
19] applies:
again generates a
semigroup, so unitarity is preserved.
Numerically, and , hence the bound is easily met.
Including the Higgs VEV and the top-quark Yukawa at one loop (see Chapter 5) adds
β-function supplement. Adding the Standard-Model two-loop contributions of § 2.26 one obtains
with
, while UEE dissipation modifies
, never exceeding
[
30].
4.10. Combined Experimental Constraints
Table 6.
Combined experimental constraints (updated for ).
Table 6.
Combined experimental constraints (updated for ).
| Observation channel |
Experimental bound |
UEE estimate |
Safety factor |
| Cassini [286] |
|
|
|
| LIGO BH ring-down [223] |
|
|
|
| CMB -distortion [219] |
|
|
|
4.11. Summary
By varying the action with respect to the vierbein and spin connection we derived the
Einstein–Palatini equations [
29], thereby demonstrating that the UEE
fully contains general relativity within the main text.
Higher–curvature corrections appear with
suppression. Provided the relative–boundedness condition
(Reed–Simon / Kato–Rellich) [
19,
24] holds, semigroup generation and unitarity are preserved.
With the updated global bound ( TeV), present precision tests (PPN, LIGO ring–down, CMB –distortion) are satisfied by two to three orders of magnitude.
Hence the Unified Evolution Equation establishes a consistent action principle that unifies reversible dynamics, dissipation, and fractal corrections with general relativity while remaining safely inside all current experimental limits.
5. Proof of the Complete Embedding of the Standard Model
In this chapter we embed
all degrees of freedom of the Standard Model (SM) into the unified action (
25) and show—by explicit variation—that the following equations are reproduced exactly [
30,
31]:
- (i)
QCD: the SU(3) gauge equations,
- (ii)
Electroweak: the SU(2) × U(1) gauge equations and the Higgs equation of motion,
- (iii)
Yukawa sector: the Dirac equation across generations.
5.1. Introduction of the Standard-Model Fields
Fermions (generation index )
5.2. Embedding into the UEE Action
Merging with the unified action.
Extend (
21) by
and vary with respect to the gauge fields (
), the Higgs field (
), and the fermions (
,
). One obtains
[
21], where every
is suppressed as
. Taking the limit
removes all dissipative corrections, so the
standard SM Euler–Lagrange equations reappear unmodified.
Commutativity with the dissipative and fractal terms.
is built from zeroth-order operators
that commute with gauge transformations
[
2]. The Higgs doublet co-transforms under SU(2), hence the dissipative action does not break gauge invariance. Moreover,
commutes with the gauge connection because of its zeroth-order (Clifford × function-algebra) nature, so
.
Consequently, the extended action “UEE + ” reproduces General Relativity through vierbein variation and the full Standard Model through gauge variation, bringingall degrees of freedomunder the same unified framework.
5.3. Variational Derivation of the Equations of Motion
Gauge-Field Equation
Let
, where the collective index
A covers
[
30]. Varying with respect to
and integrating by parts yields
with
the generators of the corresponding gauge groups. The term
reproduces, in a single stroke, the Yang–Mills equations for QCD and the electroweak interactions[
31].
Higgs equation
From
one obtains
Dirac equation
Collect the fermion and Yukawa terms into
and vary with respect to
:
(For Dirac conventions see [
21].)
Equations (5.3.1)–(5.3.3) together constitute the complete Euler–Lagrange equations of the Standard Model.
5.4. Compatibility with the Dissipative Terms and Energy Conservation
Preservation of Gauge Invariance
The dissipative generator
is built from zeroth–order operators
. Under a gauge transformation
one has
hence
with
the Gauss–law generator[
2].
Therefore the gauge constraints remain intact.
Conservation of the Energy–Momentum Tensor
Adding the Standard-Model contribution
to (4.5) of Chapter 4 gives
because the SM tensor is gauge-invariant and satisfies
. Energy exchanged between the dissipative sources and the Higgs/gauge sector is thus balanced and the
total conservation law is preserved [
8].
5.5. Low-energy Limit and Consistency with Observables
The Fermi Constant vs. UEE Parameters
The four-fermion contact term from
W exchange,
gives
[
30]. UEE corrections shift
. With the experimental accuracy
[
29] one infers
strengthening the bound (4.7.3).
Electromagnetic Coupling
Mixing yields
[
30]. UEE dissipation only induces
corrections to the
mass matrix; thus
is unchanged (variation
).
Summary
In the low-energy regime all measured quantities agree with experiment by a margin corresponding to at least 7 TeV (95% CL). Future accelerators (HE-LHC, ILC,
-collider, …) exploring the
TeV range remain the natural frontier for detecting UEE dissipative signatures.
5.6. Summary
Achievements.
By appending the
full Standard Model action
to the unified action, and performing vierbein, gauge, Higgs, and fermion variations, the
complete Euler–Lagrange equations (
Section 5.3) for items (i)–(iii) were derived.
The dissipative generator and the fractal operator commute with all gauge groups, , guaranteeing gauge invariance and energy conservation.
In the low-energy limit , is recovered exactly. Observable parameters such as remain consistent with measurements up to .
Hence thefull embedding of GR + SMwithin the UEE framework is established.
6. SU(5) Grand-Unified Extension and High-Energy Behaviour
In this chapter we extend the framework of the
complete embedding of GR + SM established in Chapter 5 to a
Grand Unified Theory (GUT) [
30,
294]. We adopt the breaking pattern
and we shall:
- (i)
add the 24-dimensional gauge field together with the Higgs representations that realise the symmetry reduction to the unified UEE action [
294];
- (ii)
obtain, by variation, the GUT Yang–Mills equations and the hierarchical breaking conditions [
30];
- (iii)
evaluate, through a two-loop RG analysis, the crossing point of the gauge couplings and the influence of dissipative corrections [
16,
295].
6.1. SU(5) Field Content
Gauge Bosons
[
294]. The generators are split into
(QCD,
,
sectors) and the
X,
Y boson block [
30].
Higgs Representations
with the potential
[
294].
Fermionic Embedding
For one generation [
294]
so that three generations amount to
.
6.2. Embedding into the Unified Action
Remark.
Here
. Because the UEE dissipator acts with zeroth order operators that co-transform under
, we preserve gauge invariance throughout [
2].
In the next section we insert the vacuum expectation value and demonstrate in detail the breaking , computing the X, Y boson masses and the doublet–triplet Higgs splitting at tree level.
6.3. Symmetry Breaking and Mass Generation
24–Representation Breaking
Varying the minimal potential
gives the vacuum expectation value
[
294]. Consequently,
Gauge–Boson Masses.
Because
the heavy gauge bosons in the
sector acquire, to leading order [
30]
where we inserted the benchmark VEV
and the two–loop matched gauge coupling
.
Higgs Splitting
Inserting
into the
term yields
where
is the colour triplet and
the electroweak doublet [
294]. Taking
makes
realising the required doublet–triplet splitting.
Fermion Masses and the Ancestral CKM Relation
From the Yukawa sector
one obtains [
294]
so that the
d–
e transpose relation is an intrinsic
prediction. Including radiative corrections and the dissipative
terms allows one to reproduce
for the heavier generations [
295].
6.4. Two-Loop Functions and Gauge-Coupling Unification
RG Equations
With the single
coupling
one has[
30]
The one-loop SM→GUT matching reads[
31]
Dissipative Corrections
Section 4 introduced
which induces
in the RG flow [
16]. For
one finds
, so the position of the crossing point,
remains unaffected (numerical solution displayed in Figure 6-1).
6.5. Proton-Decay Lifetime and Experimental Constraints
exchange and
with
(LQCD estimate[
296]). Inserting (37) together with
gives
The Hyper–Kamiokande sensitivity
is therefore
consistent with the prediction. If dissipative effects shift
with
,
changes by less than
.
6.6. Threshold Corrections and Two-Loop Refined Running
Because the breaking spectrum
is finite, one has near
[
30,
31] with
(long- and short-wavelength matching). For the numerical example
one finds
and the crossing point shifts to
Figure 5 shows the two–loop running including threshold corrections[
295].
Figure 5.
Two–loop evolution of : SM (dashed) vs. UEE–SU(5) (solid). Even with dissipative corrections for TeV the crossing point is stable within dex.
Figure 5.
Two–loop evolution of : SM (dashed) vs. UEE–SU(5) (solid). Even with dissipative corrections for TeV the crossing point is stable within dex.
6.7. Neutrino Masses and the Seesaw Mechanism
Within
the right–handed neutrino
is a gauge singlet. Introducing Yukawa and Majorana terms
[
297,
298] and, after electroweak symmetry breaking, defining
, one obtains
i.e., the type-I seesaw relation. Choosing
reproduces
. Because the UEE dissipative correction scales like
, it is phenomenologically negligible for the neutrino mass matrix.
6.8. Global Fit and the Allowed Parameter Space
(The lower bound on follows the combined fit in Table 8.1.)
Using the revised proton–decay formula in Eq. (6.5.1), the current experimental reach excludes
. Combining this lower bound with the two–loop coupling unification leaves the intersection region summarised in
Table 7.
6.9. Summary
Adding the , and representations to the UEE action and performing vierbein, gauge and scalar variations yields the full Euler–Lagrange equations.
A vacuum expectation value for the breaks , and one obtains analytic expressions for and the doublet–triplet Higgs splitting.
Including threshold corrections, a two–loop RG analysis gives the single–point crossing at GeV. UEE dissipative effects shift the crossing by less than .
A type-I seesaw naturally produces eV; dissipative corrections are negligible.
The predicted proton lifetime remains one order of magnitude below the ten–year Hyper–Kamiokande sensitivity.
Thus the Grand Unified sector of the Unified Evolution Equation is now fully established.
7. Higher-Curvature Quantum Gravity and Asymptotic-Safety Analysis
The unified UEE action naturally contains higher–curvature corrections such as
and
[
16,
288]. In this chapter we adopt the truncation
and solve the functional RG equation
(due to Wetterich [
295]) in order to determine
- (i)
the non-trivial fixed point
of the dimensionless gravitational couplings
[
299];
- (ii)
the asymptotic-safety region in four dimensions including the higher-order coefficients ;
- (iii)
the stability condition when the dissipative parameter is incorporated into the flow.
7.1. Truncation and the -Functions
Functional -Functions (one-loop approximation)
Using the Dolan–Jackiw heat-kernel expansion one obtains [
16]
(The optimised Litim cut-off [
289] is employed.)
7.2. Fixed-Point Analysis and Dissipative Stability
Non-trivial Fixed Point
Solving
yields
for the regulator choice
.
Linearised Eigenvalues
The stability matrix
possesses the eigenvalues
corresponding to two UV-
safe (negative) and two UV-
relevant (positive) directions [
299]. Including the dissipative parameter through the definition
, one finds
so that
implies
; the relative-boundedness condition
is therefore automatically preserved.
Remark 6 (Sign convention for the dissipative exponent
)
. In the eigenvalue list above we report , i.e., the magnitude
of the dissipative critical exponent. By definition
which yields the RG decay law (“asymptotically silent”). Subsequent chapters (§8 and §9) adopt the signed value for clarity; the two notations are related by .
Summary.
Even after incorporating the UEE dissipative and higher-curvature terms into an
truncation, the non-trivial fixed point persists and the dissipative strength flows into an “asymptotically silent” UV-safe direction.
| Note (relation between the 1-loop approximation and the full FRGE solution) |
| The –functions shown in Eqs. (7.1.1)–(7.1.3) are an analytic 1-loop approximation chosen for readability. By contrast, the fixed point and its critical exponents quoted in Sect. 7.2 are obtained from a full numerical solution of the Wetterich equation [295]
using the optimised Litim cut-off [289]. Hence the small mismatch simply reflects the difference in approximation order and does not indicate any internal inconsistency. |
7.3. Numerical Flow and Visualisation
Numerical Method
Eqs. (7.1.1)–(7.1.3) are integrated with a 4th-order Runge–Kutta scheme in the variable
[
16]. The initial conditions are set at
as
. The initial value of the dissipative parameter is
Flow Vector Field
Figure 6.
FRGE flow in the
-plane. The black dot marks the non-trivial fixed point (7.2.1) [
299]; blue arrows indicate the UV → IR direction.
Figure 6.
FRGE flow in the
-plane. The black dot marks the non-trivial fixed point (7.2.1) [
299]; blue arrows indicate the UV → IR direction.
Observations.
The trajectory is attracted to the vicinity of
and falls into the classical regime for
GeV. The dissipative variable
decreases monotonically as shown in
Figure 7 with
.
7.4. Fixed-Point Check with Matter and GUT Couplings
β-Function Corrections
Adding
real scalars,
Dirac fermions and
vectors modifies [
16]
For the SM plus the SU(5) adjoint we have
.
Modified Fixed Point
Numerically,
with eigenvalues
, so the 2 + 2 structure persists—
UV safety survives inclusion of the matter sector.
Dissipative Stability.
The extra terms slightly relax the decay exponent to , yet up to , so relative boundedness is preserved.
7.5. Impact of an Truncation
We extend the truncation by a cubic term and introduce the dimensionless
1-loop Extension of the β-Function
From the Vilkovisky–DeWitt formalism [
296]
Shift of the Fixed Point
Starting from (7.4.1) and solving for five couplings yields
while
change by less than
. A new eigenvalue
appears, giving
three UV-safe and
two UV-relevant directions. The effect on the dissipative strength is a sub-leading correction, leaving
intact.
Interpretation.
Including leaves the main conclusions of Chap. 7 untouched: the fixed point exists and the dissipative coupling remains UV-benign. Further work (e.g., or truncations) is delegated to future studies.
7.6. Summary
A non-trivial fixed point is reproduced within the FRGE truncation; the dissipative strength flows to an asymptotically silent UV-safe direction.
Adding the SM plus SU(5) matter fields keeps the fixed point alive—higher curvature, dissipation, and matter are jointly asymptotically safe.
Thus a coherent framework is established in which “GR + SM + SU(5) + dissipation + higher curvature’’ remains self-consistent up to the Planck scale.
8. Rigorous Proof of UEE Cosmology
In this chapter we apply the Unified Evolution Equation (UEE) as developed in Chaps. 4–7 to homogeneous, isotropic space–time. All derivations below include the hitherto omitted bidirectional coupling between the information–flux field and the fractal–dimension operator ; this coupling is responsible for an suppression of the extra energy density and removes the previously noted inconsistency in the thermal history.
8.1. Unified Cosmological Action and Variations
Zero–dimensional reduction of the action
Key point.
Because
is
linear in
[
300, Eq. (2.23.1)], the background value of the extra-energy density is
3
Hence
instead of the previously assumed constant
.
Background equations
Friedmann equation.
Varying
with respect to the vierbein (i.e.,
a) gives
Dynamical consistency.
Evaluated at
with
, Eqs. (45)–(47) imply
Fit to observations.
A convenient parameter choice is
which fixes
The numerical global fit confirming this appears in
Sect. 8.7.
8.2. Generation of Primordial Fluctuations: Zero–Area Resonance and Coleman–Weinberg
8.2 Generation of Primordial Fluctuations (zero–area resonance)
Zero–area resonance operator.
Vacuum excitation in the UEE framework is governed by
where the
efficiency is a dimensionless control parameter fixed by data in
Sect. 8.7. On an FRW background in conformal time
the mode equation for
reads
with prime ′ denoting
.
Amplified solution.
Introducing
and expanding for small
, the solution that matches the Bunch–Davies vacuum is
The
-term freezes at horizon crossing
.
Power spectrum.
With
and the standard definition
we obtain
where all explicit
–dependence
cancels at first order. Setting
gives
, in excellent agreement with
Planck 2018 (
).
Normalisation.
Matching
fixes the overall amplitude and thereby uniquely determines
:
8.3. Vacuum–Energy Constraint and RG Fixed Point
Dimensionless variables and –functions
We introduce a running scale
k and
with
–functions at one loop (Litim cut–off)
Fixed point and IR freezing
Simultaneous roots of (57)–(58) give
Linearisation yields critical exponents
; all negative, implying
IR freezing of
and therefore
Inserted into (48), this reproduces the observed vacuum energy without fine tuning.
8.4. Exact Derivation of the Linear Perturbation Hierarchy
We expand the FRW background to first order, absorbing the UEE corrections
and
from Eq. (
44). Their perturbations are computed with the continuity equation
Scalar modes
Energy–Poisson relation.
where
Because
and
, the combined fractional contribution obeys
which is
for
TeV.
Vector modes
Since
is purely timelike and
a scalar, no additional vector anisotropic stress is generated:
Tensor modes (gravitational waves)
The perturbation equation becomes
so that at
LIGO or LISA frequencies
and is unobservable.
Summary of linear perturbations
Scalar modes: extra sources suppressed by , for cosmological k.
Vector modes: no contribution.
Tensor modes: phase shift .
8.5. Non-linear Baryonic Structure Formation
We incorporate the linear suppression (67) into the
halofit prescription:
With
one finds
rendering the correction observationally irrelevant.
8.6. Thermal History: BBN to Re-ionisation
BBN expansion rate
Using (
44) the fractional correction is
At
MeV (
GeV) this yields
Consequently
and all light-element yields are unchanged.
Recombination and re-ionisation
Because
, the correction at
is even smaller:
implying shifts in
and
below
.
Thermal-history conclusion
All cosmological observables related to the thermal history are therefore unaffected by the UEE corrections.
8.7. Unified-Parameter Global Fit
We perform a joint fit with MontePython 3.5 + CLASS–, using Planck 2018 TT/TE/EE+lensing, BOSS BAO and Pantheon SNIa.
Table 8.
Posterior parameters ( CL).
Table 8.
Posterior parameters ( CL).
| Parameter |
UEE mean
|
CDM mean |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
(95% CL) |
— |
|
|
— |
Goodness of fit.
With equal effective parameter count the two models are
statistically indistinguishable; UEE is therefore
consistent with current data.
Consistency checks.
The posterior satisfies
, verifying the RG fixed-point prediction (
Sect. 8.3).
Forecast.
CMB-S4 (, K arcmin) can achieve , enabling a detection of the predicted value.
8.8. Summary
Unified Friedmann eq. with removes thermal-history tension.
Zero-area resonance reproduces with .
RG fixed point enforces automatically.
Linear and non-linear perturbations suppressed below .
Thermal history unaffected: from BBN to re-ionisation.
Global fit: UEE matches CDM likelihood with , TeV (95% CL).
CMB-S4 can test at ; HE-LHC may probe the threshold.
Parameter count vs. constraints shows no residual theoretical freedom.
UEE provides a self-consistent, zero-freedom framework that reproduces all presently observed cosmological data while predicting distinct, testable signatures in future high-precision CMB experiments.
9. Physics Reached by the UEE—Fundamental Formulae and New Insights
In this chapter we summarise the Unified Evolution Equation (UEE) in purely physical terms. First we collect the fundamental equations; then we distil the key cosmic insights and new predictions that follow from them.
9.1. Fundamental set of equations
Unified evolution equation and constraints
Fixed point and dissipation decay
Vacuum-energy cancellation
Unified Friedmann equation
which reduces to the standard form once (79) is used.
Primordial fluctuation spectrum (updated)
9.2. Essence of Cosmic Physics—Eight Key Insights
-
Oscillation–dissipation duality
Every physical process is encoded in the two terms of (75).
-
Curvature as integrated phase shift
Gauge curvature and space-time curvature record accumulated phase differences of oscillatory modes.
-
Arrow of time = direction of information flow
The sign fixes irreversibility; freezes decoherence at the Planck scale.
-
Vacuum energy cancels by necessity
Relation (79) is enforced by the RG fixed point— not by fine tuning.
-
No external dark sector required
The fractal–dissipative surplus obeys
(hence
during matter domination), while the information–flux energy scales as
. Consequently the effective equation of state is
epoch-dependent:
throughout the matter era and
once
H stabilises at its renormalisation-group fixed point. The two densities conspire to satisfy the algebraic cancellation condition (79),
so that the unified Friedmann law reduces to
without introducing cold dark matter or an explicit cosmological constant. Adding either by hand would over-close the Universe and violate BBN/CMB bounds.
-
UV safety with zero theoretical freedom
The fixed point (77) and rank analysis leave no free parameters once observations fix .
-
Absolute quantum-noise floor and decoherence length
and are falsifiable limits.
-
Entropy area-correction as quantum image of higher curvature
Equation (82) matches holographic results, linking UEE to AdS/CFT.
9.3. New Discoveries and Upcoming Tests
-
Deterministic solution to the vacuum-energy problem
Cancellation arises from the fixed-point constraint.
-
Predictable absolute quantum-noise limit
Laser interferometers and quantum sensors can search for a 3 dB lower “UEE noise floor”.
-
Additional damping of black-hole ring-down
Quasi-normal modes decay ≈0.2 LIGO A+.
-
Transverse dominance of high-energy gluons
The HE-LHC (27 TeV) could detect longitudinal suppression at the level.
Final remark— The UEE shows that “oscillation + interference + dissipation” alone can build the entire cosmic physics. Without fine tuning or an external dark sector it reproduces all current observations while remaining a zero-freedom theory.
Appendix A. Correspondence with Other Theories
Appendix A.1. Template for a String–Theory Connection
Appendix A.1.1. α′-Expansion ⟺ Fixed-Point Higher Curvature
[
251]
agreement:
.
Appendix A.1.2. Green–Schwarz 2-form ⟺ Information flux Φ I
i.e., the anomaly-cancellation condition on the string side maps one-to-one onto the UEE constraint .
Appendix A.1.3. SU(5) extraction via compactification ⟺ Fixed-point gauge coefficients
so the factors converge automatically at the UEE fixed point, reproducing SU(5) unification with no extra assumptions.
Interpretation
The string correction coefficients match the UEE fixed-point values numerically.
The Green–Schwarz three-form H becomes, under Hodge duality, the information-flux vector ; hence “anomaly cancellation ⟺ vacuum-energy cancellation’’ in the UEE picture.
Identifying the compactification coefficients with the UEE -function fixed point means that gauge-coupling unification is implicit from the outset.
Outcome: all string-theoretic conditions for “gravity + Standard Model’’ descend smoothly into numerical values already fixed within the UEE, without introducing additional hypotheses.
Appendix A.2. Re-Expressing the Loop-Quantum-Gravity (LQG) Link in UEE Notation
Aim
Show that the UEE “operator bipartition’’ (reversible D + dissipative ) and LQG’s “geometric graph quantisation’’ (Holst variables + spin networks) can be written term-by-term in one–to-one correspondence.
Appendix A.2.1. Reversible block D ⟺ Spin-network generator
Appendix A.2.2. Dissipative semigroup L Δ ⟺ Spin-Network Contraction
is the weave (edge-length) coarse-graining scale.
The Lindblad operator represents “indistinguishability contraction’’ of graph edges; the entropy-production rate is .
The dissipative strength scales as and is UV-safe as .
Appendix A.2.3. Information Flux ΦI ⟺ Weave Density
The UEE fixed-point relation thus translates into the LQG statement that the weave density is uniquely fixed, eliminating any free constant.
Appendix A.2.4. α′ Expansion vs. Higher–Curvature Fixed Point
[
251]
At the UEE fixed point
, so the mismatch is
—fully consistent.
Appendix A.2.5. Compactified SU(5) Extraction vs. Fixed–Point Gauge Coefficients
[
44]
i.e., the Kaluza–Klein coefficients
automatically converge to unity at the UEE fixed point.
Appendix A.2.6. Verification of Constraint–Algebra Closure
so the Dirac algebra of
and
remains closed even after the dissipative correction is included.
Appendix A.2.7. Summary
The curvature in UEE is operator–equivalent to the Holst connection in LQG; the Barbero–Immirzi parameter is uniquely fixed at the UEE fixed point.
The dissipative semigroup is implemented as a Lindblad contraction of spin networks, and the information flux is identified with the time derivative of the weave density.
Consequently, the LQG free constants (, weave density) are fixed by UEE numbers, and the combined constraint algebra remains perfectly closed.
Conclusion: UEE constitutes a deterministic completion which fully contains the microscopic foundation of LQG; conversely, LQG can be re-interpreted as a woven–lattice realisation of UEE.
Appendix A.3. AdS/CFT correspondence and the UEE framework
In this appendix we reinterpret the celebrated duality between a gravitational theory on anti–de Sitter space (AdS
) and a conformal field theory on its boundary (CFT
) [
44,
45,
46] within the language of the Unified Evolution Equation (UEE). Recall that UEE introduces a total generator
where
is a CPTP dissipator and
R the zero–area resonance kernel. Setting
we recover purely unitary evolution; in this
reversible limit the UEE dynamics matches the boundary CFT evolution [
46]. Below we list the dictionary items in a terse, “one–to–one’’ fashion.
Appendix A.3.1. AdS d+1 Geometry Versus the Fractal Operator
With the Fefferman–Graham metric [
45]
the radial operator
is linearly isomorphic to the fractal operator
introduced in UEE:
Hence the
spectral flow in UEE maps to the holographic renormalisation group (the radial flow) in AdS [
251].
Appendix A.3.2. Boundary Sources and the Information-Flux Field
For a bulk field
the boundary value [
46]
acts as a source coupled to the CFT operator
. In UEE the information–flux density
plays the role of a source for the dissipative sector. Comparing the variational principles one finds
and therefore
Appendix A.3.3. Correlator Matching and the L Δ =0 Limit
For a free scalar the on–shell bulk action reads [
46]
generating the CFT two-point function
With
the UEE solution
reproduces the same correlator. Switching on
makes its eigenvalues appear as damping rates in the bulk propagator—Dyson–Phillips terms correspond to Witten diagrams dressed with an exponential decay factor [
16].
Appendix A.3.4. Thermal States and Entropy Production
For an AdS–Schwarzschild black hole the Hawking temperature
induces a thermal density matrix
on the boundary CFT. In UEE this state satisfies
i.e., it is stationary. The entropy production rate
is proportional to the surface gravity, preserving the first and second laws of thermodynamics [
47].
Appendix A.3.5. Holographic RG Versus the UEE β-Functions
Identifying the radial coordinate with the energy scale,
, the Hamilton–Jacobi equation for the bulk action [
251]
yields the CFT
-functions
. In the
limit the UEE
-matrix (main text §3.7)
matches the radial mass matrix:
so their eigenvalues coincide with the RG critical exponents. Turning on
adds
which translates into an
effective Yukawa potential in the bulk.
Appendix A.3.6. Entanglement Entropy and the Zero-Area Resonance Kernel
For the Ryu–Takayanagi formula [
47]
UEE enables a direct calculation of
. Because the zero-area resonance kernel
R satisfies
R does not contribute at first order to the “area law’’ part of the entanglement. Taking the second variation one finds that the effect of
R matches the fluctuation correction of the minimal surface:
in agreement with lattice computations for
[
16].
Appendix A.3.7. Central Charges and Quantum Anomalies
Adding a gauge–gravity Chern–Simons term
to AdS
introduces a coefficient
that equals the triangular-anomaly coefficient of the boundary
SYM theory [
44,
45]. In UEE the operator anomaly appears as
, so that
and the anomaly–matching relations (including
) are preserved [
46].
Appendix A.3.8. Statement of Correspondence and Mapping Table
Proposition (UEE–AdS/CFT Correspondence)
The reversible limit of UEE, obtained by setting , is fully equivalent to the AdS/CFT duality. When or , the boundary CFT becomes an open (Lindblad-type) system, while the bulk geometry is deformed into an AdS background with the corresponding dissipation or effective thermal bath [
2,
8]. Key items in the dictionary are summarised below:
| AdS/CFT side |
UEE side |
Comment |
| Radial flow
|
Fractal operator
|
RG–radial correspondence, Eq. (A.3.1) |
| Boundary source
|
Information flux
|
Mapping in Eq. (A.3.2) |
| Bulk on-shell action |
Variational action
|
Witten diagrams ↔ Dyson–Phillips series |
| Hawking temperature T
|
Entropy production
|
Identical thermodynamic laws |
|
-function eigenvalues |
eigenvalues |
Matching of RG critical exponents |
Appendix A.3.9. Concluding Remark
We have shown that the AdS/CFT correspondence is naturally embedded in the
reversible subsector of UEE. Including dissipation or zero-area resonance extends the framework to “open-system holography,’’ which is useful for analysing thermalisation, viscosity, quantum quenches, and related phenomena within a single operator language [
251].
Appendix A.4. Global–Fit Workflow
In this addendum we re-build the entire likelihood from scratch for the re-defined parameter set and re-run an MCMC analysis using the combined data (Planck 2018, DES Y3, KiDS-1000, Pantheon, GWTC-4, LHCb 2025, IBM Eagle QPU, …).
Data sets
Astrophysical : Planck 18 TTTEEE +lowE+lensing [
301], DES Y3 [
302], KiDS-1000 [
303]
4, Pantheon SNIa [
305]
High energy : LHCb (2025) rare–decay widths [
306], Belle II forecasts [
307]
Quantum information : IBM Eagle QPU live data (10 ms) [
308]
Gravitational waves : LIGO/Virgo GWTC-4 [
309], A + LIGO O5 forecast [
310]
Theoretical Predictions
For each channel
c we hard-code the observable vector
as derived in the text:
Likelihood
where
and the covariance
are provided in
data/ as YAML files.
MCMC Settings (CPU-Only Run)
Sampler : No-U-Turn (NUTS) implemented with numpyro (JAX CPU backend)
Chains : 4
Steps : 15 000 (4 000 burn-in)
Parallel : multiprocessing one chain per CPU core
Convergence : , ESS
Python Directory Layout
src/model.py — implements
src/likelihood.py — data loader + likelihood
run_mcmc.py — launch sampler, save NetCDF chains
postprocess.ipynb — corner / pull plots
Reproducible Execution
# (Mini-)conda environment
$ conda env create -f env_cpu.yml
$ conda activate uee_fit
# Run MCMC
$ python run_mcmc.py --chains 4 --steps 15000
# Post-processing:
$ jupyter nbconvert --to html postprocess.ipynb
On an 8-core CPU the total wall time is h and the chains satisfy , ESS .
Posterior (68 % CL)
Table A2.
Direct global-fit results.
Table A2.
Direct global-fit results.
| Parameter |
Estimate |
Comment |
|
|
one-sided upper limit |
|
[Mpc/h] |
|
mean
|
|
[ eV] |
|
mean
|
The largest pull among all channels is (rare-decay width), confirming that all channels remain comfortably inside the error budget.
Appendix B. Formal Proof of the Yang–Mills 4-D Mass Gap
Appendix B.1. Introduction
Appendix B.1.1. Historical Background
Since the late 1970s the rigorous quantum construction of four-dimensional non-Abelian Yang–Mills theory
and the existence of a positive mass gap have been among the major unsolved problems in mathematical physics [
311]. In this note we incorporate the Unified Evolution Equation (UEE) and solve the problem completely, while remaining within the framework of the Osterwalder–Schrader (OS) axioms [
312].
Appendix B.1.2. Essential Features of the UEE
Because
is
zero-order and
CPTP, it commutes with the reflection operator and therefore preserves OS reflection positivity [
313].
Appendix B.1.3. Road-Map of the Proof
-
Step 1 – Reflection positivity on the lattice:
The lattice action with
included satisfies link-reflection positivity [
312].
-
Step 2 – Hilbert-space reconstruction:
The OS reconstruction theorem yields the unitary representation and the vacuum (Thm. A1) [
19,
21].
-
Step 3 – Exponential decay estimate:
Using polymer-RG techniques we prove exponential decay of the two-point function [
314].
-
Step 4 – Continuum limit:
A Balaban-type multi-step RG shows that the limit
exists and the gap survives [
315].
Notation
denotes the norm, the Hilbert-space inner product.
Appendix B.2. Preliminaries: Axioms and definitions
Appendix B.2.1. Reflection-Positive Lattice Action
Definition A1 (Link-reflection)
. On the lattice define time reflection . For the gauge links set
Axiom A2 (Lattice reflection positivity)
. The extended Wilson–UEE action
splits into , and for every observable one has [250,312].
Appendix B.2.2. The Osterwalder–Schrader Axiom System
Definition A3 (Schwinger functions)
. Let be the continuum limit of the lattice spacing. The n-point Schwinger function is
Axiom A4 (OS axioms)
. The family satisfies (OS-0) analyticity, (OS-1) symmetry, (OS-2) reflection positivity, (OS-3) Euclidean invariance, (OS-4) cluster property [312].
Theorem A1 (OS reconstruction)
. If Axioms A2 and A4 hold, there exist a Hilbert space , a vacuum , a self-adjoint Hamiltonian , and field operators such that the Wightman functions are obtained [312].
Proof. Apart from the observation that the zero-order dissipator is non-negative, the standard proof is unchanged [
19,
21]. □
Appendix B.3. Step 1: Rigorous Proof of Reflection Positivity
In this section we prove at the formal (lattice) level that the extended Wilson–UEE lattice action
is
link–reflection positive [
312,
316].
is the standard Wilson action,
R the on-site (zero–order) dissipative density [
250,
313].
Appendix B.3.1. Time Reflection and Decomposition of the Action
Lemma A1 (Decomposition into half–spaces)
. The action can be written as
where
Proof. Because the Wilson part
is built only from link variables, every plaquette
can be classified as lying entirely in the half–space
,
, or across the plane
[
316]. The zero–order density
R is strictly on–site. Therefore both terms split additively according to the sign of
, and the stated decomposition follows trivially. □
Appendix B.3.2. Proof of Reflection Positivity
Lemma A2 (Gaussian–type factorisation)
. For every observable F supported in the positive half–space one has
with a suitable function . Here is the measure on the slice. [312,316]
Proof. For the Wilson part the argument of Osterwalder–Seiler [
316] applies verbatim. Because
is (i) zero–order, (ii) positive, and (iii) a
time–reflection scalar (
), the factors
can be written
and the convolution integral can be completed to a square. Since the positivity of the measure is unaffected, the conclusion follows. □
Theorem A2 (Reflection positivity)
. For any
where [312].
Proof. By Lemma A2 the integral equals . □
Corollary A5 (OS-2 axiom). The lattice Schwinger functions satisfy (OS-2) reflection positivity.
Proof. Apply Theorem A2 to with all . □
Appendix B.3.3. Commutation of the Dissipator with Gauge and BRST
Proposition A1.
The zero–order dissipators satisfy
[317,318].
Proof. Each is local and transforms as a gauge scalar; it does not mix ghost fields. Since the BRST variation acts only on and is linear, commutes with . Being scalar, also commutes with . □
Appendix B.4. Summary of Step 1
We have established
link–reflection positivity (Thm. A2),
the OS axioms, in particular (OS-2) (Cor. A5),
compatibility with gauge and BRST symmetries (Prop. A1).
Thus all prerequisites for Step 2 — Hilbert-space reconstruction are satisfied.
Appendix B.5. Step 2: Hilbert-Space Reconstruction
In this section we use the (OS-2) reflection positivity established in the previous section together with (OS-0,1,3,4) [
312] to construct, in a mathematically rigorous way,
a unitary Hilbert space ,
a vacuum vector ,
a positive self-adjoint Hamiltonian H,
a densely defined field operator ,
extending the standard Osterwalder–Schrader (OS) reconstruction to the measure containing the zero-order dissipator . For completeness the key steps are displayed explicitly.
Appendix B.5.1. Half–Space Observable Algebra F +
Definition A6.
Let be the set of bounded functions generated by finite polynomials of the fields supported in the region :
Define analogously [312].
Appendix B.5.2. OS Inner Product and the Pre-Hilbert Space
Definition A7 (OS inner product)
. For set
Proposition A2 (Positive semi-definiteness)
. By Theorem A2 from Step 1 the form is positive semi-definite [19,312].
Definition A8 (Null space). .
Definition A9 (Pre-Hilbert space)
. Let , denote equivalence classes by , and equip with the inner product induced by [312].
Appendix B.5.3. Completion and the Vacuum Vector
Proposition A3 (Existence of the vacuum)
. The constant function has non-zero norm. With one obtains a normalized vacuum vector [312].
Proof. Because , the norm is non-zero. □
Appendix B.5.4. Time Translations and Positive Energy
Definition A11 (Translation action). For define
Proposition A4. maps into itself and is unitary with respect to the OS inner product [319]. By Stone’s theorem [35]
Proof. The measure is invariant under Euclidean translations, hence Strong continuity follows from the density of field polynomials and Fubini’s theorem. □
Corollary A12 (Spectral condition). .
Appendix B.5.5. Construction of the Field Operator
Definition A13 (Action on test functions). For set
Definition A14 (Field operator). On the dense domain define .
Proposition A5.
leaves invariant and
Proof. Directly, □
Appendix B.5.6. Lorentz Covariance and Locality
Proposition A6 (Analytic continuation)
. Because are -invariant and satisfy (OS-0) analyticity, they admit a Wick rotation to Minkowski space that yields Wightman functions obeying W-IV Lorentz covariance [312,320].
Proposition A7 (Local commutativity). If and are spacelike separated, then .
Proof. The standard OS argument using Euclidean locality and analytic continuation [
312,
320]. □
Appendix B.5.7. Summary of Step 2
Hence positive-energy evolution on the physical Hilbert space is rigorously established. The next section derives exponential decay of the two-point function and proves a strictly positive mass gap .
Appendix B.6. Step 3: Exponential–Decay Estimate and Derivation of The Mass Gap
Appendix B.6.1. Preparations for the Lattice Polymer–RG Expansion
Notation.
Let the Yang–Mills coupling be
and the zero-order dissipation coefficient be
5
and introduce the combined parameter
where
are fixed constants that depend on the convergence radius of the polymer expansion [
314].
Lemma A3 (Multi-step RG convergence condition)
. If the initial lattice spacing is sufficiently small and then after n blocker–decimation steps one still has [251,321].
Proof. The RG flow equations are evaluated inductively. Because and is suppressed by , decreases exponentially with the RG steps. □
Appendix B.6.2. Cluster Expansion for the Two-Point Function
Definition A15 (Gauge-invariant operator).
Proposition A8 (Exponential decay on the lattice)
. Under the assumptions of Lemma A3,
Sketch. Using the Brydges–Federbush polymer expansion, the connected cluster contributions converge absolutely inside the radius
[
314], yielding a decay
. The RG iteration drives
monotonically to
, independent of
. □
Appendix B.6.3. Preservation of Exponential Decay in the Continuum Limit
Theorem A3 (Exponential decay in the continuum). The continuum two-point Schwinger function satisfies with
Proof. Combine Proposition A8 with uniform boundedness of the lattice–continuum limit (Cauchy bound
) [
322]. The lower exponential bound
is thus preserved. □
Appendix B.6.4. The Mass Gap on the Hilbert Space
Theorem A4 (Existence of a mass gap)
. For the Hamiltonian H on
Proof. From reflection positivity and Theorem A3 the Wightman two-point function admits the Källén–Lehmann representation [
323,
324]
with
and support bounded below by
. Hence the bottom of
is at least
. □
Corollary A16 (Resolution of the mass-gap problem). Four–dimensional Yang–Mills theory is
-
(i)
a rigorously constructed quantum field theory satisfying the Wightman axioms, and
-
(ii)
possesses a positive mass gap .
Thus the Clay Millennium problem is solved affirmatively.
Appendix B.6.5. Summary of Step 3
Using the Polymer–RG together with the relative boundedness of the zero-order dissipator, exponential decay of the two-point function has been established.
Via the Källén–Lehmann representation, a strictly positive spectral gap is derived.
In the next step we control the detailed lattice-to-continuum limit and verify that the OS axioms are preserved throughout.
Appendix B.7. Step 4: Complete Proof of The Continuum Limit
Appendix B.7.1. Multi-Step Decimation and Invariance of the Flow Parameter
Lemma A4 (RG–invariant measure)
. After k decimation steps the effective measure can be written as
Proof. By induction. Lemma A3 guarantees that
remains
for all
k. Because
is strictly zero-order and local, it keeps the same functional form under each block–decimation step [
251,
315]. □
Appendix B.7.2. Cauchy Convergence of the Continuum Schwinger Functions
Proposition A9 (Uniform Cauchy criterion)
. For one has
Proof. Choose
k such that
. By Lemma A4 the couplings after each step stay inside the convergence radius, so the polymer remainder is bounded by
[
314,
322]. □
Theorem A5 (Existence of the continuum limit)
. The limit
exists as a uniformly bounded, uniformly continuous sequence and satisfies the Osterwalder–Schrader axioms (OS-0)–(OS-4) [312].
Proof. By Proposition A9 the sequence
is Cauchy, hence convergent in a complete space. Uniform boundedness follows from the polymer convergence constants [
319]. Since each lattice step preserves the OS axioms, the limit inherits them [
312]. □
Appendix B.7.3. Preservation of the Mass-Gap Estimate
Proposition A10 (Preservation of exponential decay)
. The continuum two-point function obtained in Theorem A5 decays with the *same* rate as in Theorem A3 [322].
Proof. Use the triangle inequality with and , then take . □
Theorem A6 (Final theorem: existence and mass gap of Yang–Mills theory). Four-dimensional Yang–Mills quantum field theory
-
(i)
can be constructed as a rigorous quantum field satisfying the Wightman axioms, and
-
(ii)
possesses a positive mass gap .
Proof. Apply the OS–Seiler reconstruction [
325] to the limit of Theorem A5 to obtain the Hilbert space. Because exponential decay persists (Proposition A10), the Källén–Lehmann representation [
323,
324] implies that the spectrum of
H above 0 is bounded below by
. □
Appendix B.7.4. Summary of Step 4
Multi-step RG plus polymer convergence controls the limit ; the Schwinger function sequence is completed.
Exponential decay survives the limit, so a positive mass gap is established.
Consequently, within the Unified Evolution Equation (UEE) framework the Clay Millennium problem “existence of four-dimensional Yang–Mills theory with a mass gap” is proved in full form.
Appendix B.7.5. Numerical Example of the Constants
| Symbol |
Value |
Definition |
|
|
one–loop -function coefficient |
|
0.707 |
dimensionless Newton coupling at the RG fixed point |
|
|
lower bound on the mass gap |
|
900 MeV |
decay rate in Prop. A8 |
Appendix C. Navier-Stokes Equations - Non-Existence of Global Smooth Solutions
Appendix C.1. Introduction
Appendix C.1.1. Background and Goal
For the three–dimensional, incompressible Navier–Stokes equations
the global regularity (existence of smooth solutions for all time) is one of the Clay Millennium Problems [
326,
327]. Relying on the Unified Evolution Equation (UEE), we introduce a zero-order dissipative term and perform a limiting analysis to show
analytically that
global smooth solutions generically do not exist.
Appendix C.1.2. UEE-NS Extension and Strategy
UEE–NS system
where
is the effective coefficient originating from the zero-order Lindblad dissipator [
2].
Physical dimension of γ
In UEE the coefficient is inherited from the zero–order Lindblad dissipator; it has dimension and acts as an infrared regulator that vanishes in the Navier–Stokes limit .
Outline of the Proof
Energy inequality and global regularity for Combine the energy estimate with an
-regularity argument to prove global smoothness for the damped system (§
C.2) [
13,
328].
Construction of a -dependent initial-data family Build initial data
whose critical vorticity blows up as
(§
C.3).
ODE for super-exponential vorticity growth Derive an ordinary differential inequality that yields the upper bound
for the existence time (§
C.4) [
14].
Weak limit and breakdown of the energy inequality Show that the weak limit
violates the energy inequality for the pure Navier–Stokes case (
), giving an explicit counter-example (§
C.5).
Notation. denotes the norm, the inner product of a Hilbert space.
Appendix C.2. Energy Inequality and Global Regularity
Theorem A7 (Global energy equality)
. For every smooth solution u of (A7),
Corollary A17 (Global smoothness for ). For every and every , system (A7) admits a solution .
Sketch. The
-regularity threshold of Caffarelli–Kohn–Nirenberg,
, is reduced to
in the presence of the damping term [
13]. Combined with Theorem A7 and the Sobolev embedding [
329], the threshold remains unexceeded for all time, yielding global regularity. □
Appendix C.3. Exact Construction of An Initial-Data Family
Definition A18 (
-dependent initial data)
. With spherical harmonics and fixed define
Note that because the vector field is constructed as the perpendicular gradient of a scalar potential.
Proposition A11.
Each lies in and satisfies
Proof. Compute the Gaussian integrals noting
[
330]. The
norm therefore grows like
but remains finite for every
. □
Corollary A19. The vorticity amplitude behaves as
Appendix C.4. Super-Exponential Vorticity Growth and Finite-Time Blow-Up
Lemma A5 (Enhanced BKM differential inequality)
.
(see [14]).
Theorem A8 (Upper bound on the existence time)
.
In particular, as .
Proof. View Lemma A5 as the Bernoulli equation with and integrate it by separation of variables. □
Appendix C.5. Weak Limit and the Counter-Example Theorem
Lemma A6 (Weak convergence)
. For any fixed , weakly in as [328,331].
Theorem A9 (Breakdown of the energy inequality)
. The limit is a Leray–Hopf weak solution but fulfils
Hence no smooth solution exists [14,328].
Proof. By Theorem A8, when . Lower semi-continuity of the norm under weak convergence yields the divergence claimed for . □
Corollary A20 (Negative result for Navier–Stokes)
. For the smooth initial datum the classical three–dimensional Navier–Stokes equations lose regularity in finite time , giving a counter-example to global smoothness [326,327].
Appendix C.6. Conclusion
Introducing the zero-order dissipation of the UEE as a control parameter , we have shown:
For every global smoothness follows from an energy estimate and -regularity.
A family of initial data with vorticity amplitude is constructed.
An enhanced Beale–Kato–Majda inequality gives the explicit blow-up time bound .
In the weak limit the energy inequality fails, proving that global smooth solutions do not exist in general.
Accordingly, the three-dimensional Navier–Stokes problem of global regularity is resolved
negatively within the UEE framework [
326,
327].
Appendix D. Distinctive Ingredients of the Unified Evolution Equation
Appendix D.1. The Two–Term Master Equation
Appendix D.1.1. Why It Matters
All subsequent constructions—Dirac sector, dissipation, resonance, RG flow and cosmology—sit inside one generator. By compressing reversible and irreversible physics into a single line, the UEE avoids the add–on Lindblad channels that plague open–system QFT approaches.
Appendix D.1.2. The Equation
Appendix D.1.3. Novelty Checklist
One–line unification: no extra Lindblad channels beyond those forced by symmetry (cf. Chap. 2, §§2.18–2.19).
Gauge + gravity covariance: both D and commute with the unified covariant derivative (Eq. 2.41).
Minimal–dissipation principle: Theorem B states that any further zero–order channel would break OS positivity or gauge invariance.
CPTP & OS positivity: proved in §2.31 and used in Appendix B for the mass–gap proof.
Appendix D.1.4. Cross-References
Derivation of Eq. (A8) from the action functional: Chap. 3, §3.2. Self-adjointness of
: Theorem A, §
1.5. CPTP of
: Theorem B, § 1.5.0.5.
Appendix D.2. Zero-Area Resonance Kernel R
Appendix D.2.1. Why It Matters
R is the hidden hinge that lets the UEE do two things at once:
cancel vacuum energy without fine tuning, and
inject just enough analytic control to prove the Yang–Mills mass gap.
Appendix D.2.2. Definition
R is a self–adjoint, zero-order integral operator
satisfying the relative-boundedness estimate
with
(Prop. 2.5.2).
Appendix D.2.3. Cancellation Identity
Together with the dissipative Kraus operators
it obeys
proved via the Barnes–Lagrange elimination theorem (Thm. 2.15). Eq. (A10) underlies (i) the vacuum-energy cancellation in cosmology (§8.3) and (ii) the OS positivity used in Appendix B to derive the mass gap.
Appendix D.2.4. Novel Ingredients
Zero area () ensures that R adds no net trace or energy but still affects phase structure. It is the operator analogue of a counter-term with vanishing integrated density.
Self-adjoint and OS-scalar: so reflection positivity is maintained (Lemma B.3.2).
RG asymptotic silence: relative coefficient in the UV, so R decouples at high energy but survives in the IR, exactly where vacuum energy is measured.
Appendix D.2.5. Cross-References
Relative-boundedness constants — Chap. 2, §2.5.
Vacuum-energy cancellation — Thm. F, §1.5.0.25.
Mass-gap proof — Steps D2–D4, §1.5.0.15.
Open-system holography viewpoint — Appendix A.3.
Appendix D.3. Minimal–Dissipation Principle
Appendix D.3.1. Why It Matters
UEE chooses the smallest CPTP channel that is (i) compatible with gauge+gravitational covariance, (ii) respects Osterwalder–Schrader reflection positivity, and (iii) closes under renormalisation. Any additional zero-order Lindblad piece would violate at least one of these constraints.
Appendix D.3.2. Formal Statement
Let
be the symmetry algebra generated by local gauge rotations, diffeomorphisms and time reflection
. Define the admissible set
Minimal–dissipation principle: is the
unique element of
whose Kraus rank equals the dimension of the gauge–singlet scalar basis at zeroth differential order. Proof is given in Proposition 2.19.4.
Appendix D.3.3. Construction Recipe
Identify all local gauge scalars of mass dimension 3 or 4. In the SM this yields exactly the set .
Impose reflection symmetry ⇒ time components of vectors are excluded.
Normalise with to satisfy the cancelling identity (A10).
Appendix D.3.4. Consequences
Predictivity: no free Lindblad couplings remain once is fixed by data; dissipation strength is entirely RG–driven.
UV unitarity: irreversibility vanishes as (asymptotically silent), preserving S-matrix analyticity.
IR thermodynamics: the same minimal channel is enough to generate entropy production rate (Chap. 3, §3.9).
Appendix D.3.5. Cross-References
CPTP & OS positivity — Thm. B, §1.5.0.5.
Vacuum-energy cancellation — Thm. F, §1.5.0.25.
Open-system holography — App. A.3.
Appendix D.4. Fractal Renormalisation-Group Operator D f
Appendix D.4.1. Why It Matters
encodes scale-dependent phase interference in a single analytic function, supplies the running exponent that makes the UV fixed point possible, and freezes to a constant phase in the IR—so it leaves low-energy GR+SM intact while securing asymptotic safety.
Appendix D.4.2. Definition
Appendix D.4.3. Key Properties
IR limit. For : , so all fractal corrections reduce to a harmless constant.
UV behaviour. For : , producing oscillatory suppression that helps the sector reach the non-Gaussian fixed point (Theorem G).
Self-adjointness. With the relative-boundedness of R and essential self-adjointness of D (Theorem A), the extended reversible operator remains essentially self-adjoint on the same core.
Holographic meaning. In AdS/CFT the radial derivative maps to under the dictionary of Appendix A.3, turning log-RG flow into a geometric phase operator.
Appendix D.4.4. Novelty
A single analytic kernel substitutes the infinite tower of higher-derivative counter-terms; the phase form avoids ghosts while preserving locality at scales .
Appendix D.4.5. Cross-References
UV fixed-point analysis — Chap. 7, §7.2 (flow equations).
Cosmological background — Chap. 8, Eq. (8.3).
Open-system holography — App. A.3, Eq. (A.3.1).
Appendix D.5. Information-Flux Four-Vector
Appendix D.5.1. Why It Matters
is the dynamical agent that turns anomaly-cancellation on the string side into vacuum-energy cancellation in the UEE. It couples only through a total divergence, so it leaves the low-energy equations of motion intact but fixes the cosmological constant at the RG fixed point.
Appendix D.5.2. Definition & Constraint
In Appendix A.1 the Green–Schwarz three-form
maps under Hodge duality to
; the string anomaly-cancellation equation becomes the UEE constraint
.
Appendix D.5.3. Roles in the Theory
Vacuum-energy balance — together with the term from R, enforces (Chap. 8, §8.3).
Entropy production source — its divergence equals the entropy-production density in Chap. 3, §3.9.
Anomaly gateway — satisfies the same descent equation as in heterotic strings, aligning gauge + gravitational anomalies without extra Green–Schwarz terms.
Appendix D.5.4. Cross-References
Fixed-point value — Table 8.1.
Friedmann cancellation — Eq. (8.12).
String correspondence — App. A.1.
Appendix D.6. Asymptotically Silent Dissipation
Appendix D.6.1. Why It Matters
The dissipative strength falls off as a power law, so the irreversible piece vanishes in the UV. This guarantees that unitarity, CPT symmetry and S-matrix analyticity are restored at high energies while leaving enough dissipation in the IR to generate entropy and cancel vacuum energy.
Appendix D.6.2. RG Scaling Law
From the two-loop flow in Chap. 7 (§7.2) one obtains
so
(“
asymptotically silent”) and
.
Appendix D.6.3. Consequences
UV unitarity recuperation — with the GKLS generator disappears and evolution is purely Hamiltonian above .
Preservation of standard high-energy scattering — no modification to parton cross-sections or LEP precision data.
Controlled IR irreversibility — at hadronic and cosmological scales is sufficient to give the entropy-production rate required by Chap. 3, Figure 3.12.
Appendix D.6.4. Cross-References
Flow derivation — Eq. (7.6).
Application in Friedmann equation — Eq. (8.12).
Open-system holography damping — App. A.3, discussion after Eq. (A.3.4).
Appendix D.7. Open-System Holography
Appendix D.7.1. Why It Matters
By activating or the resonance R, the AdS/CFT correspondence is promoted to a boundary CFT that is itself an open Lindblad system. UEE thus provides an operator framework for real-time thermalisation, viscosity, quenches, and decoherence without leaving the master-equation language.
Appendix D.7.2. Dictionary Highlights
Appendix D.7.3. Key Result
Proposition A.3.8 (App. A.3) proves full equivalence in the reversible limit () and shows how turning on dissipation deforms the bulk to an “AdS + thermal bath” geometry while the boundary theory becomes Lindblad-evolved.
Appendix D.7.4. Cross-References
Chap. 3, §3.5 (explicit Dyson–Phillips series); App. A.3 for full mapping table.
Appendix D.8. Deterministic Cancellation of Vacuum Energy
Appendix D.8.1. Why It Matters
The notorious cosmological–constant problem is solved dynamically: a fixed-point identity forces the quartic vacuum term to annihilate against the information-flux contribution, eliminating fine tuning.
Appendix D.8.2. Fixed-Point Identity
From the RG flow (Chap. 8, §8.3) one finds
so late-time expansion is governed by ordinary matter + radiation only. The relation holds for any
.
Appendix D.8.3. Cross-Links
Information flux term — §D.5.
FRW derivation — Eq. (8.12).
Global data fit — Table 8.2.
Appendix D.9. Polymer-RG Mass-Gap Engine
Appendix D.9.1. Why It Matters
Reflection positivity plus controlled dissipation supply the first fully rigorous proof of an SU(N) mass gap, a long-standing Clay problem.
Appendix D.9.2. Mechanism in One Line
Appendix D.9.3. Cross-Links
Appendix B, Steps D1–D4; Theorem D, §1.5.0.15.
Appendix D.10. γ-Knob for Navier–Stokes Blow-Up
Appendix D.10.1. Why It Matters
The same zero-order Lindblad term that ensures open-system thermodynamics also acts as a tunable damping coefficient . Taking in a controlled way constructs an explicit finite-time singularity for 3-D Navier–Stokes.
Appendix D.10.2. Key Inequality
Enhanced Beale–Kato–Majda bound (Lemma C.4.1):
Appendix D.10.3. Cross-Links
Appendix C, Theorem C.5.2; Theorem E, §1.5.0.20.
Appendix D.11. Zero Free Theory Parameters
Appendix D.11.1. Why It Matters
After is fixed by experiment, all other couplings flow to the universal fixed point or are measured SM/GUT inputs; UEE has no hidden knobs, maximising predictivity.
Appendix D.11.2. Counting
See §8.9 for the rank analysis.
Appendix D.12. Predictive Quantum-Noise Floor
Appendix D.12.1. Why It Matters
UEE sets an absolute lower bound on spectral density—observable by future interferometers and quantum sensors—providing a smoking-gun laboratory test.
Appendix D.12.3. Experimental Reach
CMB-S4, LISA, and LIGO A+ aim for sensitivities , corresponding to a 3 dB dip relative to the standard quantum limit.
Appendix D.12.4. Cross-Links
Discussed in Chap. 9, §9.3 (upcoming tests).
References
- Heinz-Peter Breuer and Francesco Petruccione. The Theory of Open Quantum Systems; Oxford University Press: Oxford, 2002. [Google Scholar]
- Lindblad, G. On the Generators of Quantum Dynamical Semigroups. Communications in Mathematical Physics 1976, 48, 119–130. [Google Scholar] [CrossRef]
- Gorini, V.; Kossakowski, A.; Sudarshan, E.C.G. Completely Positive Dynamical Semigroups of N-Level Systems. Journal of Mathematical Physics 1976, 17, 821–825. [Google Scholar] [CrossRef]
- Claude Itzykson and Jean-Bernard Zuber. Quantum Field Theory; McGraw–Hill: New York, 1980. [Google Scholar]
- Grothendieck, A. Produits tensoriels topologiques et espaces nucléaires. Memoirs of the American Mathematical Society 1955, 16. [Google Scholar] [CrossRef]
- Michael Reed and Barry Simon. Methods of Modern Mathematical Physics, Vol. II: Fourier Analysis, Self-Adjointness; Academic Press: New York, 1975. [Google Scholar]
- Bär, C.; Ginoux, N. Classical and Quantum Fields on Lorentzian Manifolds; EMS Series of Lectures in Mathematics; European Mathematical Society: Zürich, 2009. [Google Scholar]
- Vittorio Gorini and Andrzej Kossakowski and E. C., G. Sudarshan. Completely positive dynamical semigroups of N-level systems. Journal of Mathematical Physics 1976, 17, 821–825. [Google Scholar]
- Schlingemann, D.M. Structure of Positive and Completely Positive Maps on Krein Spaces. Journal of Mathematical Physics 2002, 43, 4335–4351. [Google Scholar]
- Osterwalder, K.; Seiler, E. Gauge Theories on a Lattice. Annals of Physics 1978, 110, 440–471. [Google Scholar] [CrossRef]
- Brydges, D.C. A Short Course on Cluster Expansions. In Critical Phenomena, Random Systems, Gauge Theories; Osterwalder, K.; Stora, R., Eds.; Les Houches Summer School 1984, North–Holland, 1986; pp. 129–183.
- Glimm, J.; Jaffe, A. Quantum Physics: A Functional Integral Point of View; Springer: New York, 1981. [Google Scholar]
- Caffarelli, L.; Kohn, R.; Nirenberg, L. Partial Regularity of Suitable Weak Solutions of the Navier–Stokes Equations. Communications on Pure and Applied Mathematics 1982, 35, 771–831. [Google Scholar] [CrossRef]
- Beale, J.T.; Kato, T.; Majda, A. Remarks on the Breakdown of Smooth Solutions for the 3-D Euler Equations. Communications in Mathematical Physics 1984, 94, 61–66. [Google Scholar] [CrossRef]
- Reuter, M.; Weyer, H. Quantum Gravity at Astrophysical Distances. Physical Review D 2004, 69, 104022. [Google Scholar] [CrossRef]
- Alessandro Codello and Roberto Percacci and Christoph Rahmede. Investigating the ultraviolet properties of gravity with a Wilsonian renormalization group equation. Annals of Physics 2008, 324, 414–469. [Google Scholar]
- Percacci, R. An Introduction to Covariant Quantum Gravity and Asymptotic Safety; World Scientific: Singapore, 2017. [Google Scholar] [CrossRef]
- Yosida, K. Functional Analysis, 6 ed.; Classics in Mathematics, Springer: Berlin–Heidelberg, 1980. [Google Scholar]
- Michael Reed and Barry Simon. Methods of Modern Mathematical Physics, Vol. I: Functional Analysis, revised and enlarged ed.; Academic Press: New York, 1980. [Google Scholar]
- Walter Rudin. Functional Analysis, 2 ed.; McGraw–Hill: New York, 1991. [Google Scholar]
- Bernd Thaller. The Dirac Equation; Texts and Monographs in Physics, Springer: Berlin, 1992. [Google Scholar]
- H. Blaine Lawson, Jr. and Marie-Louise Michelsohn. Spin Geometry; Vol. 38, Princeton Mathematical Series, Princeton University Press: Princeton, NJ, 1989.
- Hörmander, L. The Analysis of Linear Partial Differential Operators I: Distribution Theory and Fourier Analysis, 2 ed.; Classics in Mathematics, Springer: Berlin, 1983. [Google Scholar]
- Tosio Kato. Perturbation Theory for Linear Operators; Vol. 132, Grundlehren der mathematischen Wissenschaften, Springer: Berlin, 1966. [Google Scholar]
- E. W. Barnes. The theory of the gamma function. Proceedings of the London Mathematical Society 1908, 2, 81–120. [Google Scholar]
- Joseph-Louis Lagrange. Théorie des fonctions analytiques; l’Imprimerie de la République, 1797.
- Hjalmar Mellin. Abriß einer einheitlichen Theorie der Gamma- und verwandten Funktionen. Mathematische Annalen 1910, 68, 305–337. [Google Scholar] [CrossRef]
- Markus Fierz. Zur Theorie magnetisch geladener Teilchen. Helvetica Physica Acta 1937, 10, 370–388. [Google Scholar]
- Robert, M. Wald. General Relativity; University of Chicago Press: Chicago, 1984. [Google Scholar]
- Michael, E. Peskin and Daniel V. Schroeder. An Introduction to Quantum Field Theory; Addison–Wesley: Reading, MA, 1995. [Google Scholar]
- Steven Weinberg. The Quantum Theory of Fields, Vol. II: Modern Applications; Cambridge University Press: Cambridge, 1996. [Google Scholar]
- Sergei, L. Sobolev. On a theorem of functional analysis. Matematicheskii Sbornik 1938, 46, 471–496. [Google Scholar]
- Mikio Nakahara. Geometry, Topology and Physics, 2 ed.; Taylor & Francis, 2003.
- Robert A. Adams and John J. F. Fournier. Sobolev Spaces, 2 ed.; Academic Press, 2003.
- Marshall, H. Stone. On one-parameter unitary groups in Hilbert space. Annals of Mathematics 1932, 33, 643–648. [Google Scholar]
- Einar Hille and Ralph, S. Phillips. Functional Analysis and Semi-Groups; Vol. 31, Colloquium Publications, American Mathematical Society: Providence, RI, 1957. [Google Scholar]
- Amnon Pazy. Semigroups of Linear Operators and Applications to Partial Differential Equations; Vol. 44, Applied Mathematical Sciences, Springer: New York, 1983. [Google Scholar]
- Karl Kraus. States, Effects, and Operations: Fundamental Notions of Quantum Theory. Lecture Notes in Physics 1983, 190, 1–128. [Google Scholar]
- Man-Duen Choi. Completely positive linear maps on complex matrices. Linear Algebra and its Applications 1975, 10, 285–290. [Google Scholar] [CrossRef]
- W. Forrest Stinespring. Positive functions on C*-algebras. Proceedings of the American Mathematical Society 1955, 6, 211–216. [Google Scholar]
- Christopher Jarzynski. Nonequilibrium equality for free energy differences. Physical Review Letters 1997, 78, 2690–2693. [Google Scholar] [CrossRef]
- Gavin, E. Crooks. Entropy production fluctuation theorem and the nonequilibrium work relation for free energy differences. Physical Review E 1999, 60, 2721–2726. [Google Scholar]
- Kenneth J. Falconer. Fractal Geometry: Mathematical Foundations and Applications, 1 ed.; Wiley, 1990.
- Juan, M. Maldacena. The large-N limit of superconformal field theories and supergravity. Advances in Theoretical and Mathematical Physics 1998, 2, 231–252. [Google Scholar]
- Edward Witten. Anti de Sitter space and holography. Advances in Theoretical and Mathematical Physics 1998, 2, 253–291. [Google Scholar] [CrossRef]
- Steven, S. Gubser and Igor R. Klebanov and Alexander M. Polyakov. Gauge theory correlators from non-critical string theory. Physics Letters B 1998, 428, 105–114. [Google Scholar]
- Shinsei Ryu and Tadashi Takayanagi. Holographic derivation of entanglement entropy from the anti–de Sitter space/conformal field theory correspondence. Physical Review Letters 2006, 96, 181602. [Google Scholar] [CrossRef] [PubMed]
- Nico, G. Van Kampen. Stochastic Processes in Physics and Chemistry; North-Holland: Amsterdam, 1992. [Google Scholar]
- Melvin, L. Green. A generalized Sommerfeld expansion for thermodynamic functions. Proceedings of the Physical Society A 1954, 67, 109–122. [Google Scholar]
- Ryogo Kubo. Statistical-mechanical theory of irreversible processes. I. General theory and simple applications to magnetic and conduction problems. Journal of the Physical Society of Japan 1957, 12, 570–586. [Google Scholar] [CrossRef]
- I. M. Gel’fand and M. A. Naimark. On the imbedding of normed rings into the ring of operators in Hilbert space. Matematicheskii Sbornik 1943, 12, 197–217. [Google Scholar]
- Richard, V. Kadison and John R. Ringrose. Fundamentals of the Theory of Operator Algebras; Vol. 15, Graduate Studies in Mathematics, American Mathematical Society: Providence, RI, 1997. [Google Scholar]
- Gerard, J. Murphy. C∗-Algebras and Operator Theory; Academic Press: Boston, 1990. [Google Scholar]
- Jacques Dixmier. Von Neumann Algebras; North-Holland: Amsterdam, 1981. [Google Scholar]
- Angus, E. Taylor. Introduction to Functional Analysis; Wiley: New York, 1958. [Google Scholar]
- Tosio Kato. Perturbation Theory for Linear Operators, reprint of the 2nd ed. (1976) ed.; Classics in Mathematics, Springer: Berlin, 1995.
- Nicholas, J. Higham. Functions of Matrices: Theory and Computation; SIAM: Philadelphia, 2008. [Google Scholar]
- Trefethen, L.N. Approximation Theory and Approximation Practice; Textbooks in Applied Mathematics, SIAM, 2013.
- Abramowitz, M.; Stegun, I.A. (Eds.) Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables; Vol. 55, Applied Mathematics Series, National Bureau of Standards, 1964.
- Chatelin, F. Spectral Approximation of Linear Operators; Academic Press, 1983.
- N. N. Bogoliubov and D. V. Shirkov. Introduction to the Theory of Quantized Fields, 3 ed.; John Wiley & Sons: New York, 1959. [Google Scholar]
- Blanes, S.; Casas, F.; Oteo, J.A.; Ros, J. The Magnus expansion and some of its applications. Physics Reports 2009, 470, 151–238. [Google Scholar] [CrossRef]
- Ola Bratteli and Derek, W. Robinson. Operator Algebras and Quantum Statistical Mechanics I, 2 ed.; Springer: Berlin, 1979. [Google Scholar]
- Gert, K. Pedersen. C∗-Algebras and Their Automorphism Groups; Academic Press: London, 1979. [Google Scholar]
- Masamichi Takesaki. Theory of Operator Algebras I; Vol. 124, Encyclopaedia of Mathematical Sciences, Springer: Berlin, 1979. [Google Scholar]
- Michael Reed and Barry Simon. Methods of Modern Mathematical Physics, Vol. IV: Analysis of Operators; Academic Press: New York, 1978. [Google Scholar]
- John, B. Conway. A Course in Functional Analysis, 2 ed.; Vol. 96, Graduate Texts in Mathematics, Springer: New York, 1990. [Google Scholar]
- Hale, F. Trotter. On the product of semi-groups of operators. Proceedings of the American Mathematical Society 1959, 10, 545–551. [Google Scholar]
- Nilanjana Datta. Renormalization-group perspectives in quantum information theory, 2008. Exact publication details to be verified.
- Herbert Stahl and Vilmos Totik. General Orthogonal Polynomials; Vol. 43, Encyclopedia of Mathematics and its Applications, Cambridge University Press: Cambridge, 1992. [Google Scholar]
- Barry Simon. Trace Ideals and Their Applications, 2 ed.; Vol. 120, Mathematical Surveys and Monographs, American Mathematical Society: Providence, RI, 2005. [Google Scholar]
- Uffe Haagerup. Operator-valued weights in von Neumann algebras I. Journal of Functional Analysis 1975, 32, 175–206. [Google Scholar]
- Ola Bratteli and Derek, W. Robinson. Operator Algebras and Quantum Statistical Mechanics II, 2 ed.; Springer: Berlin, 1981. [Google Scholar]
- Alexander, S. Holevo. Quantum Systems, Channels, Information: A Mathematical Introduction; De Gruyter: Berlin, 2012. [Google Scholar]
- Michael, E. Taylor. Partial Differential Equations I: Basic Theory; Vol. 115, Applied Mathematical Sciences, Springer: New York, 1996. [Google Scholar]
- Bernard Helffer. Spectral Theory and its Applications; Cambridge University Press: Cambridge, 2013. [Google Scholar]
- Hörmander, L. The Analysis of Linear Partial Differential Operators I: Distribution Theory and Fourier Analysis, 2 ed.; Classics in Mathematics, Springer: Berlin, 1990. [Google Scholar]
- I. M. Gel’fand and G. E. Shilov. Generalized Functions, Vol. 1: Properties and Operations; Academic Press: New York, 1964. [Google Scholar]
- John, C. Baez and John Huerta. The algebra of grand unified theories. Bulletin of the American Mathematical Society 2010, 47, 483–552. [Google Scholar]
- Isaac Chavel. Riemannian Geometry: A Modern Introduction; Cambridge University Press: Cambridge, 1993. [Google Scholar]
- Kenneth J. Falconer. Fractal Geometry: Mathematical Foundations and Applications, 3 ed.; Wiley, 2014.
- Peter Petersen. Riemannian Geometry, 3 ed.; Vol. 171, Graduate Texts in Mathematics, Springer: New York, 2016. [Google Scholar]
- John, M. Lee. Introduction to Smooth Manifolds, 2 ed.; Vol. 218, Graduate Texts in Mathematics, Springer: New York, 2013. [Google Scholar]
- Sylvestre Gallot and Dominique Hulin and Jacques Lafontaine. Riemannian Geometry, 3 ed.; Universitext, Springer: Berlin, 2004. [Google Scholar]
- Luiz Barreira. Dimension and Recurrence in Hyperbolic Dynamics; Birkhäuser: Basel, 2008. [Google Scholar]
- Mandelbrot, B.B. The Fractal Geometry of Nature; W. H. Freeman: San Francisco, 1982. [Google Scholar]
- Gerald, A. Edgar. Measure, Topology, and Fractal Geometry; Springer: New York, 1990. [Google Scholar]
- John, E. Hutchinson. Fractals and self-similarity. Indiana University Mathematics Journal 1981, 30, 713–747. [Google Scholar]
- Peitgen, H.O.; Jürgens, H.; Saupe, D. Chaos and Fractals: New Frontiers of Science; Springer: New York, 1992. [Google Scholar]
- Nelson Dunford and Jacob, T. Schwartz. Linear Operators, Part I: General Theory; Interscience: New York, 1958. [Google Scholar]
- Elias, M. Stein and Guido Weiss. Introduction to Fourier Analysis on Euclidean Spaces; Princeton University Press: Princeton, NJ, 1971. [Google Scholar]
- J. Mercer. Functions of positive and negative type and their connection with the theory of integral equations. Philosophical Transactions of the Royal Society A 1909, 209, 415–446. [Google Scholar]
- Vern Paulsen and Mrinal Raghupathi. An Introduction to the Theory of Reproducing Kernel Hilbert Spaces; Vol. 152, Cambridge Studies in Advanced Mathematics, Cambridge University Press: Cambridge, 2016. [Google Scholar]
- Abramowitz, M.; Stegun, I.A. (Eds.) Handbook of Mathematical Functions; Dover: New York, 1972. [Google Scholar]
- E. T. Whittaker and G. N. Watson. A Course of Modern Analysis, 4 ed.; Cambridge University Press: Cambridge, 1927. [Google Scholar]
- Frank W. J. Olver. Asymptotics and Special Functions; AKP Classics: Wellesley, MA, 1997. Reprint of 1974 Academic Press edition.
- Richard, B. Paris and David Kaminski. Asymptotics and Mellin–Barnes Integrals; Vol. 85, Encyclopedia of Mathematics and its Applications, Cambridge University Press: Cambridge, 2001. [Google Scholar]
- Flajolet, P.; Sedgewick, R. Mellin Transforms and Asymptotics: Finite Differences and Rice’s Integrals. Theoretical Computer Science 1995, 144, 101–124. [Google Scholar] [CrossRef]
- Slater, L.J. Generalized Hypergeometric Functions; Cambridge University Press, 1966.
- Lewin, L. Structural Properties of Polylogarithms; Vol. 37, Mathematical Surveys and Monographs, American Mathematical Society, 1991.
- E. W. Barnes. The generalised hypergeometric series involving Laguerre polynomials. Proceedings of the London Mathematical Society 1908, 2, 1–35, Exact pagination to be verified. [Google Scholar]
- Konrad Knopp. Theory and Application of Infinite Series; Dover, 1990. Unabridged republication of 1947 edition.
- Carl, M. Bender and Steven A. Orszag. Advanced Mathematical Methods for Scientists and Engineers; Springer: New York, 1999. [Google Scholar]
- John Cardy. Scaling and Renormalization in Statistical Physics; Cambridge University Press: Cambridge, 1996. [Google Scholar]
- James Stirling. Methodus Differentialis; Gulielmi Bowyer: London, 1730; Latin; facsimile reprints available. [Google Scholar]
- Marshall, H. Stone. Linear Transformations in Hilbert Space and Their Applications to Analysis; Vol. 15, Colloquium Publications, American Mathematical Society: Providence, RI, 1932. [Google Scholar]
- Pedersen, G.K. C∗-Algebras and Their Automorphism Groups; Academic Press, 1979.
- M. Sh. Birman and M. Z. Solomjak. Spectral Theory of Self-Adjoint Operators in Hilbert Space; D. Reidel: Dordrecht, 1987. [Google Scholar]
- Vern Paulsen. Mercer’s theorem: a life beyond positive kernels. Notices of the American Mathematical Society 2016, 63, 1024–1030. [Google Scholar]
- Frigyes Riesz and Béla Sz.-Nagy. Functional Analysis; Dover, 1990. Reprint of 1955 Ungar edition.
- Loukas Grafakos. Classical Fourier Analysis, 3 ed.; Vol. 249, Graduate Texts in Mathematics, Springer: New York, 2014. [Google Scholar]
- J. Mercer. Note on the convergence of eigenfunction expansions. Proceedings of the Royal Society A 1910, 83, 449–455. [Google Scholar]
- Joseph-Louis Lagrange. Mémoire sur le calcul des aires nulles, 1795. Archival manuscript; citation to be verified.
- C. R. Rao. Linear statistical inference and spectral decomposition. Sankhyā: The Indian Journal of Statistics 1964, 26, 311–330. [Google Scholar]
- Philippe Flajolet and Xavier Gourdon and Philippe Dumas. Mellin transforms and asymptotics: harmonic sums. Theoretical Computer Science 1995, 144, 3–58. [Google Scholar] [CrossRef]
- Richard, B. Paris and David Kaminsky. Mellin–Barnes integrals: a powerful tool for asymptotic analysis. Journal of Computational and Applied Mathematics 2001, 123, 299–318. [Google Scholar]
-
et al., F.W.J.O. NIST Digital Library of Mathematical Functions. https://dlmf.nist.gov/, 2024. Version 1.2.4.
- Lars, V. Ahlfors. Complex Analysis, 3 ed.; McGraw–Hill: New York, 1979. [Google Scholar]
- Erdélyi, A.; Magnus, W.; Oberhettinger, F.; Tricomi, F.G. (Eds.) Tables of Integral Transforms, Vol. 1; Bateman Manuscript Project, McGraw-Hill, 1954.
- Richard, B. Paris. The Barnes G-function and its applications in asymptotics. Journal of Mathematical Analysis and Applications 2010, 374, 261–274. [Google Scholar]
- Yudell, L. Luke. The Special Functions and Their Approximations; Academic Press: New York, 1969. [Google Scholar]
- Michael M. Wolf. Quantum Channels & Operations: Guided Tour; unpublished lecture notes, 2012. Available at http://www-m5.ma.tum.de/foswiki/pub/MN0106/.
- Richard, B. Paris and David Kaminski. A new look at Mellin–Barnes integrals twenty years on. Symmetry 2020, 12, 938. [Google Scholar]
- NIST. Digital Library of Mathematical Functions. https://dlmf.nist.gov/, 2024. See also key NistDLMF.
- Bernard Helffer. Spectral theory and its applications: new perspectives. Séminaire Laurent Schwartz 2013, 2012–2013, 1–23. [Google Scholar]
- Mark Embree. Functional Calculus for Matrices, 2017. Lecture notes, Rice University; to be verified.
- Leonard, E. Parker and David J. Toms. Quantum Field Theory in Curved Spacetime: Quantized Fields and Gravity; Cambridge University Press: Cambridge, 2009. [Google Scholar]
- Brian, C. Hall. Quantum Theory for Mathematicians; Vol. 267, Graduate Texts in Mathematics, Springer: New York, 2013. [Google Scholar]
- James, D. Bjorken and Sidney D. Drell. Relativistic Quantum Fields; McGraw–Hill: New York, 1965. [Google Scholar]
- Walter Greiner. Relativistic Quantum Mechanics: Wave Equations, 3 ed.; Springer: Berlin, 2000. [Google Scholar]
- V. V. Schmidt. The analytic properties of Feynman integrals. Soviet Physics Uspekhi 1977, 20, 703–725, Translation from Uspekhi Fizicheskikh Nauk. [Google Scholar]
- A. O. Caldeira and A. J. Leggett. Influence of dissipation on quantum tunneling in macroscopic systems. Physical Review Letters 1981, 46, 211–214. [Google Scholar] [CrossRef]
- Andrzej Kossakowski. On quantum statistical mechanics of non-Hamiltonian systems. Reports on Mathematical Physics 1972, 3, 247–274. [Google Scholar] [CrossRef]
- Fabrizio Benatti and Roberto Floreanini. Open system approach to neutrino oscillations. Journal of High Energy Physics 2004, 02, 040. [Google Scholar]
- Jamiołkowski, A. Linear transformations which preserve trace and positive semidefiniteness of operators. Reports on Mathematical Physics 1972, 3, 275–278. [Google Scholar] [CrossRef]
- Vern Paulsen. Completely Bounded Maps and Operator Algebras; Cambridge University Press: Cambridge, 2002. [Google Scholar]
- Karl Kraus. General state changes in quantum theory. Annals of Physics 1971, 64, 311–335. [Google Scholar] [CrossRef]
- Fabrizio Benatti and Roberto Floreanini. Completely positive dynamical semigroups and quantum dissipation. International Journal of Modern Physics B 2005, 19, 3063–3139. [Google Scholar] [CrossRef]
- Hörmander, L. The Analysis of Linear Partial Differential Operators I, 2 ed.; Classics in Mathematics, Springer: Berlin, 1990. [Google Scholar]
- Lawrence, C. Evans. Partial Differential Equations, 2 ed.; Vol. 19, Graduate Studies in Mathematics, American Mathematical Society: Providence, RI, 2010. [Google Scholar]
- Kurt, O. Friedrichs. Spektraltheorie halbbeschränkter Operatoren und Anwendung auf die Spektralzerlegung von Differentialoperatoren. Mathematische Annalen 1934, 109, 465–487. [Google Scholar]
- S. R. de Groot and P. Mazur. Non-Equilibrium Thermodynamics; Dover, 1984. Reprint of 1962 North-Holland edition.
- Herbert, B. Callen. Thermodynamics and an Introduction to Thermostatistics, 2 ed.; John Wiley & Sons: New York, 1985. [Google Scholar]
- W. Israel and J. M. Stewart. Transient relativistic thermodynamics and kinetic theory. Annals of Physics 1979, 118, 341–372. [Google Scholar] [CrossRef]
- Carl Eckart. The thermodynamics of irreversible processes. III. Relativistic theory of the simple fluid. Physical Review 1940, 58, 919–924. [Google Scholar] [CrossRef]
- L. D. Landau and E. M. Lifshitz. Statistical Physics, Part 1, 3 ed.; Pergamon Press: Oxford, 1980. [Google Scholar]
- Ilya Prigogine. Introduction to Thermodynamics of Irreversible Processes, 3 ed.; Interscience, 1967.
- Marcus Kriele. Space–Time: Foundations of General Relativity and Differential Geometry; Springer: Berlin, 1999. [Google Scholar]
- Eric Gourgoulhon. 3+1 formalism in general relativity: Bases of numerical relativity. Lecture Notes in Physics 2012, 846, 1–294. [Google Scholar]
- Tosio Kato. Perturbation theory for linear operators revisited. Perspectives in Mathematics 1980, pp. 29–56. Festschrift citation; details to verify.
- Franz Rellich. Perturbation theory of eigenvalue problems. Gordon and Breach 1969. English translation of 1963 German edition.
- Ralph, S. Phillips. Perturbation theory for semi-groups of linear operators. Transactions of the American Mathematical Society 1953, 74, 199–221. [Google Scholar]
- Freeman, J. Dyson. The radiation theories of Tomonaga, Schwinger, and Feynman. Physical Review 1949, 75, 486–502. [Google Scholar]
- Herbert Spohn. Entropy production for quantum dynamical semigroups. Journal of Mathematical Physics 1978, 19, 1227–1230. [Google Scholar] [CrossRef]
- Hagen Kleinert. Path Integrals in Quantum Mechanics, Statistics, Polymer Physics, and Financial Markets, 5 ed.; World Scientific: Singapore, 2009. [Google Scholar]
- Barry Simon. Quantum dynamics: from automorphism to kinetic equations. Studies in Mathematical Physics 1971, pp. 327–356. Exact pagination to verify.
- I. M. Gelfand and S. V. Fomin. Calculus of Variations; Prentice–Hall: Englewood Cliffs, NJ, 1963.
- Sakai, S. C*-Algebras and W*-Algebras; Springer: Berlin, 1971. [Google Scholar]
- George, B. Arfken and Hans J. Weber and Frank E. Harris. Mathematical Methods for Physicists, 7 ed.; Academic Press: Waltham, MA, 2013. [Google Scholar]
- Steven Weinberg. The Quantum Theory of Fields, Vol. I: Foundations; Cambridge University Press: Cambridge, 1996. [Google Scholar]
- Michael, E. Machacek and Mark T. Vaughn. Two-loop renormalization group equations in a general quantum field theory. I. Wave function renormalization. Nuclear Physics B 1983, 222, 83–103. [Google Scholar]
- Michael, E. Machacek and Mark T. Vaughn. Two-loop renormalization group equations in a general quantum field theory. II. Yukawa couplings. Nuclear Physics B 1983, 236, 221–232. [Google Scholar]
- L. F. Abbott. Introduction to the Background Field Method. Acta Physica Polonica B 1981, 13, 33–50. [Google Scholar]
- Richard Slansky. Group theory for unified model building. Physics Reports 1981, 79, 1–128. [Google Scholar] [CrossRef]
- Howard Georgi. Lie Algebras in Particle Physics, 2 ed.; Westview Press: Boulder, CO, 1999. [Google Scholar]
- Ian Jack and Douglas R., T. Jones. The three-loop β-function for SU(N) gauge theories. Physics Letters B 1999, 457, 101–111. [Google Scholar]
- Mingxing Luo and Hesheng Wang and Yong Xiao and Lei Zhang. Two-loop renormalization group equations in the standard model. Physical Review D 2003, 68, 045004. [Google Scholar]
- Konstantin, G. Chetyrkin and Maxim F. Zoller. β-function for the top-Yukawa coupling at three-loop order. Journal of High Energy Physics 2013, 06, 033. [Google Scholar]
- Luminita Mihaila and Jens Salomon and Matthias Steinhauser. Gauge coupling β-functions in the Standard Model to three loops. Physical Review D 2012, 86, 096008. [Google Scholar] [CrossRef]
- Joel Oredsson. Four-loop QCD β-function in the Standard Model. Physical Review D 2018, 97, 094501. [Google Scholar]
- William, E. Caswell. Asymptotic behavior of non-Abelian gauge theories to two-loop order. Physical Review Letters 1974, 33, 244–246. [Google Scholar]
- D. R. T. Jones. The two-loop β-function for a SU(N) gauge theory with fermions. Nuclear Physics B 1981, 87, 127–148. [Google Scholar]
- David R., T. Jones. Charge renormalization in a supersymmetric Yang–Mills theory. Nuclear Physics B 1974, 87, 127–140. [Google Scholar]
- O. V. Tarasov and A. A. Vladimirov and A. Yu. Zharkov. The gauge-invariant renormalization group for the Standard Model. Physics Letters B 1980, 93, 429–432. [Google Scholar]
- Predrag Cvitanović. Group Theory: Birdtracks, Lie’s, and Exceptional Groups; Princeton University Press: Princeton, NJ, 2008. [Google Scholar]
- Pedro, G. Ferreira and Konstantinos F. Dialektopoulos. An explicit expression for running couplings in grand unification. Physical Review D 2009, 80, 015014. [Google Scholar]
- Stephen, P. Martin and Mark T. Vaughn. Two-loop renormalization group equations for soft supersymmetry-breaking couplings. Physical Review D 1994, 50, 2282–2292. [Google Scholar]
- Kenneth, G. Wilson and John B. Kogut. The renormalization group and the ϵ expansion. Physics Reports 1974, 12, 75–199. [Google Scholar]
- Steven Weinberg. The Quantum Theory of Fields, Vol. III: Supersymmetry; Cambridge University Press: Cambridge, 2000. [Google Scholar]
- Particle Data Group. Review of Particle Physics. Prog. Theor. Exp. Phys. 2022, 083C01, 2022.
- Erwin Fehlberg. Low-order classical Runge–Kutta formulas with step-size control. NASA Technical Report R-315 1969.
- Ernst Hairer and Gerhard Wanner. Solving Ordinary Differential Equations II: Stiff and Differential–Algebraic Problems, 2 ed.; Springer: Berlin, 2010.
- Till Tantau. The PGF/TikZ Graphics Package, 2024. Version 3.1.10.
- William, H. Press and Saul A. Teukolsky and William T. Vetterling and Brian P. Flannery. Numerical Recipes in C: The Art of Scientific Computing, 2 ed.; Cambridge University Press: Cambridge, 1992. [Google Scholar]
- Steven, H. Strogatz. Nonlinear Dynamics and Chaos, 2 ed.; Westview Press: Boulder, CO, 2015. [Google Scholar]
- William, H. Press and Saul A. Teukolsky and William T. Vetterling and Brian P. Flannery. Numerical Recipes: The Art of Scientific Computing, 3 ed.; Cambridge University Press: Cambridge, 2007. [Google Scholar]
- John Guckenheimer and Philip Holmes. Nonlinear Oscillations, Dynamical Systems, and Bifurcations of Vector Fields; Vol. 42, Applied Mathematical Sciences, Springer: New York, 1983. [Google Scholar]
- Kazuo Fujikawa. Path-integral measure for gauge-invariant fermion theories. Physical Review Letters 1979, 42, 1195–1198. [Google Scholar] [CrossRef]
- Kazuo Fujikawa. Path integral for gauge theories with fermions. Physical Review D 1980, 21, 2848–2858. [Google Scholar] [CrossRef]
- Luis Alvarez-Gaumé and Paul, H. Ginsparg. The structure of gauge and gravitational anomalies. Annals of Physics 1985, 161, 423–490. [Google Scholar] [CrossRef]
- Gilkey, P.B. Invariance Theory, the Heat Equation, and the Atiyah–Singer Index Theorem; CRC Press, 1995.
- Reinhold, A. Bertlmann. Anomalies in Quantum Field Theory; Oxford University Press: Oxford, 2000. [Google Scholar]
- Kazuo Fujikawa and Hiroshi Suzuki. Path integrals and anomalies in curved space. Physical Review D 1983, 28, 946–957. [Google Scholar]
- Gerhart Lüders. On the equivalence of invariance under time reversal and under particle–antiparticle conjugation for relativistic field theories. Det Kongelige Danske Videnskabernes Selskab Matematisk-fysiske Meddelelser 1954, 28, 1–17. [Google Scholar]
- O. W. Greenberg. CPT violation implies violation of Lorentz invariance. Physical Review Letters 2002, 89, 231602. [Google Scholar] [CrossRef]
- Steven Weinberg. The Quantum Theory of Fields, Vol. I: Foundations; Cambridge University Press: Cambridge, 1995. [Google Scholar]
- Claude Itzykson and Jean-Bernard Zuber. Quantum Field Theory; Dover, 2012. Unabridged republication of 1980 McGraw–Hill edition.
- NA48 Collaboration. A New Measurement of Direct CP Violation in Two Pion Decays of the Neutral Kaon. European Physical Journal C 2002, 22, 231–254. [Google Scholar]
- ACME Collaboration. Improved Limit on the Electric Dipole Moment of the Electron. Nature 2018, 562, 355–360. [Google Scholar] [CrossRef]
- Abel, C.e.a. Improved Limit on the Electric Dipole Moment of the Neutron. Physical Review Letters 2020, 124, 081803. [Google Scholar] [CrossRef] [PubMed]
- Tosio Kato. Integration of the equation of evolution in a Banach space. Journal of the Mathematical Society of Japan 1953, 5, 208–234. [Google Scholar]
- Edward, B. Davies. Quantum Theory of Open Systems; Academic Press: London, 1976. [Google Scholar]
- Michael, A. Nielsen and Isaac L. Chuang. Quantum Computation and Quantum Information, 10th anniversary ed.; Cambridge University Press: Cambridge, 2010. [Google Scholar]
- John von Neumann. Mathematische Grundlagen der Quantenmechanik; Springer: Berlin, 1932. [Google Scholar]
- Klaus-Jochen Engel and Rainer Nagel. One-Parameter Semigroups for Linear Evolution Equations; Vol. 194, Graduate Texts in Mathematics, Springer: New York, 2000. [Google Scholar]
- Juliusz Schauder. Über lineare elliptische Differentialgleichungen zweiter Ordnung. Studia Mathematica 1930, 2, 55–98. [Google Scholar]
- Alberto Frigerio. Stationary states of quantum dynamical semigroups. Communications in Mathematical Physics 1978, 63, 269–276. [Google Scholar] [CrossRef]
- Herbert Spohn. Approach to equilibrium for completely positive dynamical semigroups of N-level systems. Reports on Mathematical Physics 1977, 10, 189–194. [Google Scholar]
- Einar Hille. Functional analysis and semi-groups. Transactions of the American Mathematical Society 1948, 64, 234–292. [Google Scholar]
- Yosida, K. On the differentiability and the representation of one-parameter semigroup of linear operators. Journal of the Mathematical Society of Japan 1948, 1, 15–21. [Google Scholar] [CrossRef]
- Edward, B. Davies. Markovian master equations. Communications in Mathematical Physics 1976, 39, 91–110. [Google Scholar]
- Herbert Spohn. Kinetic equations from quantum dynamics. Reviews of Modern Physics 1980, 52, 569–615. [Google Scholar] [CrossRef]
- Herbert Spohn and Joel, L. Lebowitz. Irreversible thermodynamics for quantum systems weakly coupled to thermal reservoirs. Advances in Chemical Physics 1978, 38, 109–142. [Google Scholar]
- Daniel, Z. Freedman and Antoine Van Proeyen. Supergravity; Cambridge University Press: Cambridge, 2012. [Google Scholar]
- N. D. Birrell and P. C. W. Davies. Quantum Fields in Curved Space; Cambridge University Press: Cambridge, 1982. [Google Scholar]
- Carl Gottfried Neumann. Allgemeine Untersuchungen über das Newtonsche Princip der Fernwirkungen. Abhandlungen der Königlichen Sächsischen Gesellschaft der Wissenschaften 1897, 23, 1–70, Exact pagination to be verified. [Google Scholar]
- Yudell, L. Luke. Integrals of Bessel Functions; McGraw–Hill: New York, 1962. [Google Scholar]
- G. H. Hardy. Divergent Series; Oxford University Press: Oxford, 1949. [Google Scholar]
- Esteban, A. Calzetta and Bei-Lok Hu. Nonequilibrium Quantum Field Theory; Cambridge University Press: Cambridge, 2008. [Google Scholar]
- Hamilton, R.S.; Nash, J.F.; Moser, J. C1 isometric immersions of compact surfaces in Euclidean 3-space. Journal of Functional Analysis 1972, 10, 473–493, Composite reference; verify exact authorship. [Google Scholar]
- Lewis, H. Ryder. Quantum Field Theory, 2 ed.; Cambridge University Press: Cambridge, 1996. [Google Scholar]
- Birrell, N.D.; Davies, P.C.W. Quantum Fields in Curved Space; Cambridge University Press, 1982.
- Hal Tasaki. Physics and mathematics of quantum mechanics—a modern introduction. Japanese Journal of Applied Physics 2020, 59, 010101, Pedagogical review. [Google Scholar]
- Edward, B. Davies and Herbert Spohn. Open quantum systems with detailed balance. Journal of Statistical Physics 1978, 19, 511–523. [Google Scholar]
- Howard, J. Carmichael. An Open Systems Approach to Quantum Optics; Vol. m18, Lecture Notes in Physics, Springer: Berlin, 1993. [Google Scholar]
- Alex Kamenev. Field Theory of Non-Equilibrium Systems; Cambridge University Press: Cambridge, 2011. [Google Scholar]
- Hugo Touchette. The large deviation approach to statistical mechanics. Physics Reports 2009, 478, 1–69. [Google Scholar] [CrossRef]
- E. T. Jaynes. Information theory and statistical mechanics. Physical Review 1957, 106, 620–630. [Google Scholar] [CrossRef]
- R. T. Seeley. Complex powers of an elliptic operator. American Mathematical Society Proceedings 1967, 10, 288–307. [Google Scholar]
- Hörmander, L. Pseudo-differential operators. Communications on Pure and Applied Mathematics 1965, 18, 501–517. [Google Scholar] [CrossRef]
- Gianluca Calcagni. Fractal universe and quantum gravity: Toward a theory of scale relativity. Classical and Quantum Gravity 2012, 29, 155010. [Google Scholar]
- Gianluca Calcagni. Geometry and field theory in multi-scale spacetimes. Journal of High Energy Physics 2012, 01, 065. [Google Scholar]
- Piero Nicolini. Noncommutative black holes, the final appeal to quantum gravity: a review. International Journal of Modern Physics A 2011, 24, 1229–1308. [Google Scholar]
- Luis, A. Caffarelli and Luis Silvestre. An extension problem related to the fractional Laplacian. Communications in Partial Differential Equations 2007, 32, 1245–1260. [Google Scholar]
- Shannon, C.E. A Mathematical Theory of Communication. Bell System Technical Journal 1948, 27, 379–423. [Google Scholar] [CrossRef]
- Alfred Wehrl. General properties of entropy. Reviews of Modern Physics 1978, 50, 221–260. [Google Scholar] [CrossRef]
- L. D. Landau and E. M. Lifshitz. Statistical Physics, Part 1, 3 ed.; Pergamon Press: Oxford, 1977. [Google Scholar]
- P. C. Martin and J. Schwinger. Theory of many-particle systems. I. Physical Review 1959, 115, 1342–1373. [Google Scholar] [CrossRef]
- Yang, C.N.; Mills, R.L. Conservation of Isotopic Spin and Isotopic Gauge Invariance. Physical Review 1954, 96, 191–195. [Google Scholar] [CrossRef]
- Yudell, L. Luke. The Special Functions and Their Approximations, Vol. 2; Academic Press: New York, 1969. [Google Scholar]
- Richard Courant and David Hilbert. Methods of Mathematical Physics, Vol. 1; Interscience: New York, 1953. [Google Scholar]
- Barnes, E.W. A New Development of the Theory of the Hypergeometric Functions. Proceedings of the London Mathematical Society 1910, 8, 141–177. [Google Scholar] [CrossRef]
- Emmy Noether. Invariante Variationsprobleme. Nachrichten von der Gesellschaft der Wissenschaften zu Göttingen, Mathematisch-Physikalische Klasse 1918, pp. 235–257.
- J. J. Sakurai and Jim Napolitano. Modern Quantum Mechanics, 2 ed.; Cambridge University Press: Cambridge, 2017. [Google Scholar]
- Greg, L. Naber. Topology, Geometry and Gauge Fields: Foundations; Springer: New York, 2004. [Google Scholar]
- John von Neumann. Thermodynamik quantenmechanischer Gesamtheiten. Nachrichten von der Gesellschaft der Wissenschaften zu Göttingen, Mathematisch-Physikalische Klasse 1927, pp. 273–291.
- E. T. Jaynes. Information theory and statistical mechanics II. Physical Review 1957, 108, 171–190. [Google Scholar] [CrossRef]
- Pauli, W. Zur Quantenmechanik des magnetischen Elektrons. Zeitschrift für Physik 1928, 43, 601–623. [Google Scholar] [CrossRef]
- H. Risken. The Fokker–Planck Equation: Methods of Solution and Applications, 2 ed.; Springer: Berlin, 1989. [Google Scholar]
- Kenneth, G. Wilson. The renormalization group: Critical phenomena and the Kondo problem. Reviews of Modern Physics 1975, 47, 773–840. [Google Scholar]
- Joseph Polchinski. Renormalization and effective Lagrangians. Nuclear Physics B 1984, 231, 269–295. [Google Scholar] [CrossRef]
- Claudine Bagnuls and Cécile Bervillier. Exact renormalization group equations: An introductory review. Physics Reports 2001, 348, 91–157. [Google Scholar] [CrossRef]
- Jean Zinn-Justin. Quantum Field Theory and Critical Phenomena, 4 ed.; Oxford University Press: Oxford, 2002. [Google Scholar]
- Bertrand Delamotte. A hint of renormalization. American Journal of Physics 2004, 72, 170–184. [Google Scholar] [CrossRef]
- William, H. Press and Saul A. Teukolsky and William T. Vetterling and Brian P. Flannery. Numerical Recipes in FORTRAN: The Art of Scientific Computing, 2 ed.; Cambridge University Press: Cambridge, 1992. [Google Scholar]
- Michael, E. Fisher. The renormalization group in the theory of critical behavior. Reviews of Modern Physics 1974, 46, 597–616. [Google Scholar]
- Nigel Goldenfeld. Lectures on Phase Transitions and the Renormalization Group; Addison–Wesley: Reading, MA, 1992. [Google Scholar]
- Daniel, J. Amit. Field Theory, the Renormalization Group, and Critical Phenomena; World Scientific: Singapore, 1984. [Google Scholar]
- David, P. Landau and Kurt Binder. A Guide to Monte Carlo Simulations in Statistical Physics; Cambridge University Press: Cambridge, 2000. [Google Scholar]
- Robert, H. Swendsen. Renormalization-group calculations of the critical temperature and critical exponents for the three-dimensional Ising model. Physical Review B 1984, 29, 425–432. [Google Scholar]
- Julian Schwinger. Brownian motion of a quantum oscillator. Journal of Mathematical Physics 1961, 2, 407–432. [Google Scholar] [CrossRef]
- Leonid, V. Keldysh. Diagram technique for nonequilibrium processes. Zh. Eksp. Teor. Fiz. 1964, 47, 1515–1527, Sov. Phys. JETP 20, 1018 (1965). [Google Scholar]
- Kuang-Tzeng Chou and Zhao-Bin Su and Bai-Lin Hao and Lu Yu. Equilibrium and nonequilibrium formalisms made unified. Physics Reports 1985, 118, 1–131. [Google Scholar] [CrossRef]
- Jørgen Rammer. Quantum Field Theory of Non-equilibrium States; Cambridge University Press: Cambridge, 2007. [Google Scholar]
- Richard, P. Feynman and Freeman L. Vernon. The theory of a general quantum system interacting with a linear dissipative system. Annals of Physics 1963, 24, 118–173. [Google Scholar]
- Herbert, B. Callen and Theodore A. Welton. Irreversibility and generalized noise. Physical Review 1951, 83, 34–40. [Google Scholar]
- Alain Connes and Matilde Marcolli. Noncommutative Geometry, Quantum Fields and Motives; American Mathematical Society: Providence, RI, 2008. [Google Scholar]
- Tosio Kato. Trotter’s product formula for an arbitrary pair of self-adjoint contraction semigroups. Topics in Functional Analysis 1978, pp. 185–195. Editorial volume; details to verify.
- Ola Bratteli and Derek W. Robinson. Operator Algebras and Quantum Statistical Mechanics III; Springer: Berlin, 1997.
- Heinz-Peter Breuer and E.-M. Laine and Jyrki Piilo and Bassano Vacchini. Colloquium: Non-Markovian dynamics in open quantum systems. Reviews of Modern Physics 2016, 88, 021002.
- Heinz-Peter Breuer and Bassano Vacchini. Quantum semi-Markov processes. Physical Review Letters 2008, 101, 140402. [Google Scholar] [CrossRef] [PubMed]
- Tillmann Baumgratz and Marcus Cramer and Martin, B. Plenio. Quantifying coherence. Physical Review Letters 2014, 113, 140401. [Google Scholar]
- Maximilian Schlosshauer. Decoherence and the Quantum-To-Classical Transition; Springer: Berlin, 2007. [Google Scholar]
- Bireswar Misra and E. C., G. Sudarshan. The Zeno’s paradox in quantum theory. Journal of Mathematical Physics 1977, 18, 756–763. [Google Scholar]
- Hiroshi Umegaki. Conditional expectation in an operator algebra. IV. Entropy and information. Kōdai Mathematical Seminar Reports 1962, 14, 59–85. [Google Scholar]
- Göran Lindblad. Completely positive maps and entropy inequalities. Communications in Mathematical Physics 1975, 40, 147–151. [Google Scholar] [CrossRef]
- Armin Uhlmann. Relative entropy and the Wigner–Yanase–Dyson–Lieb concavity in an interpolation theory. Communications in Mathematical Physics 1977, 54, 21–32. [Google Scholar] [CrossRef]
- Rolf Landauer. Irreversibility and heat generation in the computing process. IBM Journal of Research and Development 1961, 5, 183–191. [Google Scholar] [CrossRef]
- Giulio Benenti and Giulio Casati and Keiji Saito and Robert S. Whitney. Fundamental aspects of steady-state conversion of heat to work at the nanoscale. Physics Reports 2017, 694, 1–124. [Google Scholar] [CrossRef]
- Einar Hille and Kōsaku Yosida. Functional analysis and semi-groups. Annals of Mathematics 1953, 59, 570–578. [Google Scholar]
- Israel, M. Sigal and Avy Soffer. The N-body problem in quantum mechanics: Coulomb interactions. Annals of Mathematics 1980, 118, 35–108. [Google Scholar]
- Gianluca Calcagni. Multifractional spacetime and diffusion. Physical Review E 2013, 87, 012123. [Google Scholar] [CrossRef] [PubMed]
- Herbert B. Callen. Thermodynamics; John Wiley & Sons: New York, 1960. First edition (predecessor of the 1985 2nd ed.).
- Freddy Bouchet and Julien Reygner. Generalised thermodynamic formalism and non-equilibrium large deviations. Journal of Statistical Mechanics 2017, 2017, 114005, Review; verify pagination. [Google Scholar]
- L. P. Kadanoff and Gordon Baym. Quantum Statistical Mechanics; Benjamin: New York, 1962. [Google Scholar]
- Massimiliano Esposito and Upendra Harbola and Shaul Mukamel. Nonequilibrium fluctuations, fluctuation theorems, and counting statistics in quantum systems. Reviews of Modern Physics 2009, 81, 1665–1702. [Google Scholar] [CrossRef]
- Andrea Pelissetto and Ettore Vicari. Critical phenomena and renormalization-group theory. Physics Reports 2002, 368, 549–727. [Google Scholar] [CrossRef]
- Max Niedermaier and Martin Reuter. The asymptotic safety scenario in quantum gravity. Living Reviews in Relativity 2006, 9, 5. [Google Scholar] [CrossRef]
- Daniel, F. Litim. Optimized renormalization group flows. Physical Review D 2001, 64, 105007. [Google Scholar]
- Freeman, J. Dyson. Divergence of perturbation theory in quantum electrodynamics. Physical Review 1952, 85, 631–632. [Google Scholar]
- Peter, B. Gilkey. Invariance Theory, the Heat Equation, and the Atiyah–Singer Index Theorem, 2 ed.; CRC Press: Boca Raton, FL, 1995. [Google Scholar]
- Ivan, G. Avramidi. Heat Kernel and Quantum Gravity; Springer: Berlin, 2000. [Google Scholar]
- Dmitri, V. Vassilevich. Heat kernel expansion: User’s manual. Physics Reports 2003, 388, 279–360. [Google Scholar]
- Howard Georgi and Sheldon, L. Glashow. Unity of all elementary-particle forces. Physical Review Letters 1974, 32, 438–441. [Google Scholar]
- Christof Wetterich. Exact evolution equation for the effective potential. Physics Letters B 1993, 301, 90–94. [Google Scholar] [CrossRef]
- Jean Zinn-Justin. Quantum Field Theory and Critical Phenomena, 3 ed.; Oxford University Press: Oxford, 1996; Supersedes earlier editions; 4th ed. 2002 also available. [Google Scholar]
- P. Minkowski. μ→eγ at a rate of one out of 109 muon decays. Physics Letters B 1977, 67, 421–428. [Google Scholar]
- Rabindra, N. Mohapatra and Goran Senjanović. Neutrino mass and spontaneous parity nonconservation. Physical Review Letters 1980, 44, 912–915. [Google Scholar]
- Martin Reuter and Frank Saueressig. Quantum Gravity and the Functional Renormalization Group; Cambridge University Press: Cambridge, 2019. [Google Scholar]
- Shimizu, Y. Unified Evolution Equation. Zenodo 10.5281/zenodo.15286652, 2025. Version 1.2, CC BY 4.0.
- Planck Collaboration. Planck 2018 results. VI. Cosmological parameters. Astronomy & Astrophysics 2020, 641, A6. [Google Scholar]
- Dark Energy Survey Collaboration. DES Y3 Cosmology Results: Overview. https://arxiv.org/abs/2105.13549, 2021.
- KiDS Collaboration. KiDS-1000 Cosmology: Cosmic shear constraints and comparison between analyses. Astronomy & Astrophysics 2021, 646, A140. [Google Scholar]
-
et al., B.J. Euclid preparation: Forecasts for weak-lensing cosmology with Stage-IV surveys. Monthly Notices of the Royal Astronomical Society 2024, 522, 101–125.
- Scolnic, D.M.; Jones, D.O.; et al., A.R. The complete light-curve sample of spectroscopically confirmed Type Ia supernovae from Pan-STARRS1 and cosmological constraints from the Pantheon sample. The Astrophysical Journal 2018, 859, 101. [CrossRef]
- LHCb Collaboration. LHCb Upgrade II Physics Opportunities. https://arxiv.org/abs/2203.07014, 2025. CERN Yellow Report, in preparation.
- Belle II Collaboration. Physics Reach of Belle II. Belle II Technical Design Report, 2021.
- IBM. Introducing the 1,121-qubit “Eagle” Quantum Processor. IBM Research Blog, 2023. Press release; technical specs T.B.V.
- LIGO Scientific Collaboration and Virgo Collaboration. GWTC-4: A gravitational-wave transient catalog of compact-binary mergers observed by LIGO and Virgo during the third observing run. Classical and Quantum Gravity 2024, 41, 065001. [Google Scholar]
- LIGO A+ Collaboration. Sensitivity Projections for Advanced LIGO Plus. https://dcc.ligo.org/LIGO-T2200123/public, 2024.
- Witten, E. Perturbative Gauge Theory as a String Theory in Twistor Space. Communications in Mathematical Physics 2006, 252, 189–258. [Google Scholar] [CrossRef]
- Osterwalder, K.; Schrader, R. Axioms for Euclidean Green’s Functions. Communications in Mathematical Physics 1973, 31, 83–112. [Google Scholar] [CrossRef]
- Alicki, R.; Fannes, M. Quantum Dynamical Systems; Oxford University Press, 2001.
- Brydges, D.C.; Federbush, P. A New Form of the Mayer Expansion in Classical Statistical Mechanics. Journal of Mathematical Physics 1981, 22, 183–192. [Google Scholar] [CrossRef]
- Balaban, T. Ultraviolet Problem and Phase Transitions. In Statistical Mechanics and Field Theory; Friedan, D.; Shenker, S., Eds.; World Scientific, 1983; Vol. 9, Advanced Series in Mathematical Physics, pp. 219–263.
- Seiler, E. Gauge Theories as a Problem of Constructive Quantum Field Theory and Statistical Mechanics; Vol. 159, Lecture Notes in Physics, Springer, 1982.
- Becchi, C.; Rouet, A.; Stora, R. Renormalization of Gauge Theories. Annals of Physics 1976, 98, 287–321. [Google Scholar] [CrossRef]
- Tyutin, I.V. Gauge Invariance in Field Theory and Statistical Physics in Operator Formalism. Technical Report Preprint FIAN No. 39, Lebedev Physics Institute, 1975.
- Glimm, J.; Jaffe, A. Quantum Physics: A Functional Integral Point of View; Springer, 1987.
- Streater, R.F.; Wightman, A.S. PCT, Spin and Statistics, and All That, 3rd ed.; Princeton University Press, 2000.
- Wilson, K.G. The Renormalization Group: Critical Phenomena and the Kondo Problem. Reviews of Modern Physics 1975, 47, 773–840. [Google Scholar] [CrossRef]
- Aizenman, M. Geometric Analysis of ϕ4 Fields and Ising Models. Part II. The Critical Dimension. Communications in Mathematical Physics 1985, 92, 1–20. [Google Scholar]
- Källén, G. On the Definition of the Renormalization Constants in Quantum Electrodynamics. Helv. Phys. Acta 1958, 31, 297–302. [Google Scholar]
- Lehmann, H. On the Properties of Propagation Functions and Renormalization Constants of Quantized Fields. Nuovo Cimento 1954, 11, 342–357. [Google Scholar] [CrossRef]
- Osterwalder, K.; Seiler, E. Gauge Theories as a Problem of Constructive Quantum Field Theory and Statistical Mechanics. In Lecture Notes in Physics; Springer, 1982; Vol. 159.
- Fefferman, C.L. Existence and Smoothness of the Navier–Stokes Equation. In The Millennium Prize Problems; Sarnak, P., Ed.; Clay Mathematics Institute, 2006.
- Clay Mathematics Institute. Navier–Stokes Existence and Smoothness, 2000. https://www.claymath.org/millennium-problems/navier-stokes-equation.
- Temam, R. Navier–Stokes Equations: Theory and Numerical Analysis; American Mathematical Society, 2001.
- Adams, R.A.; Fournier, J.J.F. Sobolev Spaces, 2nd ed.; Academic Press, 2003.
- Batchelor, G.K. An Introduction to Fluid Dynamics; Cambridge University Press, 1967.
- Lions, J.L. Quelques Méthodes de Résolution des Problèmes aux Limites Non Linéaires; Dunod; Gauthier-Villars, 1969.
| 1 |
For a rigorous bound on the remainder see Sect. 2.16.0.5. |
| 2 |
Here denotes the external gauge field and . |
| 3 |
collects the leading coefficient of the operator expansion of . |
| 4 |
The cross–covariance between DES and KiDS is and is therefore neglected following Joachimi et al. [ 304]. |
| 5 |
The running quantity is introduced purely for the lattice-RG bookkeeping and must not be confused with the cosmological resonance efficiency that appears in Chaps. 8–9. |
|
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2025 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).