Submitted:
17 March 2025
Posted:
18 March 2025
Read the latest preprint version here
Abstract
Keywords:
1. Introduction
- QM Axiom 1 of 5
- State Space: Every physical system is associated with a complex Hilbert space, and its state is represented by a ray (an equivalence class of vectors differing by a non-zero scalar multiple) in this space.
- QM Axiom 4 of 5
- Observables: Physical observables correspond to Hermitian (self-adjoint) operators acting on the Hilbert space.
- QM Axiom 5 of 5
- Dynamics: The time evolution of a quantum system is governed by the Schrödinger equation, where the Hamiltonian operator represents the system’s total energy.
- QM Axiom 5 of 5
- Measurement: Measuring an observable projects the system into an eigenstate of the corresponding operator, yielding one of its eigenvalues as the measurement result.
- QM Axiom 5 of 5
- Probability Interpretation: The probability of obtaining a specific measurement outcome is given by the squared magnitude of the projection of the state vector onto the relevant eigenstate (Born rule).
-
Statistical Mechanics:To recover statistical mechanics from Equation 10, we consider the case where the matrices are , i.e., scalars. Specifically, we set:and take to be a uniform distribution. Then, Equation 10 reduces to the Gibbs distribution:where corresponds to in traditional statistical mechanics. This demonstrates that our solution generalizes SM, as it recovers it when are scalars.
-
Quantum Mechanics:By choosing to generate the U(1) group, we derive the axioms of quantum mechanics from entropy maximization. Specifically, we set:where are energy levels. In the results section, we will detail how this choice leads to a probability measure that includes a unitarily invariant ensemble and the Born rule, satisfying all five axioms of QM.
-
Fundamental Physics:Extending our approach, we choose to be matrices representing the generators of the Spinc(3,1) group. Specifically, we consider multivectors of the form , where is a bivector and is a pseudoscalar of the 3+1D geometric algebra . The matrix representation of is:where , and b correspond to the generators of the Spinc(3,1) group, which includes both Lorentz transformations and U(1) phase rotations. This choice leads to a relativistic quantum probability measure:where emerges as a parameter generating boosts, rotations, and phase transformations.In the results section, we show how gravity and Yang-Mills emerge naturally from this solution.
-
Dimensional Obstructions:Axiom 1 yields valid probability measures only in specific geometric cases. Beyond the instances of statistical mechanics and quantum mechanics, Axiom 1 yields a consistent solution only in 3+1 dimensions. In other dimensional configurations, various obstructions arises violating the axioms of probability theory. The following table summarizes the geometric cases and their obstructions:where means the geometric algebra of dimensions.We will first investigate the unobstructed cases in Section 2.1, Section 2.2 and Section 2.3 and then demonstrate the obstructions in Section 2.4. These obstructions are desirable because they automatically limit the theory to 3+1D, thus providing a built-in mechanism for the observed dimensionality of our universe.
2. Results
2.1. Quantum Mechanics
- The entropy maximization procedure inherently normalizes the vectors with . This normalization links to a unit vector in Hilbert space. Furthermore, as physical states associate to the probability measure, and the probability is defined up to a phase, we conclude that physical states map to Rays within Hilbert space. This demonstrates i.
-
In Z, an observable must satisfy:Since , then any self-adjoint operator satisfying the condition will equate the above equation, simply because . This demonstrates ii.
-
Upon transforming Equation 47 out of its eigenbasis through unitary operations, we find that the energy, , typically transforms in the manner of a Hamiltonian operator:The system’s dynamics emerge from differentiating the solution with respect to the Lagrange multiplier. This is manifested as:which is the Schrödinger equation. This demonstrates iii.
-
From Equation 47 it follows that the possible microstates of the system correspond to specific eigenvalues of . An observation can thus be conceptualized as sampling from , with the measured state being the occupied microstate i. Consequently, when a measurement occurs, the system invariably emerges in one of these microstates, which directly corresponds to an eigenstate of . Measured in the eigenbasis, the probability measure is:In scenarios where the probability measure is expressed in a basis other than its eigenbasis, the probability of obtaining the eigenvalue is given as a projection on a eigenstate:Here, signifies the squared magnitude of the amplitude of the state when projected onto the eigenstate . As this argument hold for any observables, this demonstrates iv.
- Finally, since the probability measure (Equation 45) replicates the Born rule, v is also demonstrated.
2.2. RQM in 2D
2.2.1. 1+1D Obstruction
2.3. RQM in 3+1D
2.3.1. Probability Measure and Wavefunction
2.3.2. Geometry
2.3.3. Surprisal
- Varying with respect to yields the EFE with the Einstein tensor from , and is sourced by the quantum action variation yielding the stress-energy tensor.
- Varying with respect to χ gives equations of motion that define the flow of χ in spacetime:
Interpretation
- is not a probability density—it lacks a conserved current () and is not normalized.
- Instead, is interpreted as an information density, encoding spacetime’s local information content.
- Conservation: The current is conserved (), making a conserved charge.
- Causal Propagation: Surprisal propagates at light speed, enforcing that information (quantified by ) cannot spread superluminally—a core tenet of relativity.
2.3.4. Yang-Mills
- Probability Measure: The quadratic form enforces rotor invariance , restricting transformations to those satisfying , for some rotor R of a geometric algebra of n dimensions.
- Dirac Current: The spacetime current requires gauge generators to commute with , confining them to an internal space.
- Spacetime: The origin of the double-product from STA, associates the resulting internal space, to spacetime.
-
Constraint on Transformations: For the probability density to remain invariant under a transformation R, we require:Solutions to are rotor transformations generated by bivectors in the Clifford algebra. For a -dimensional algebra, these generate , whose subgroups include all .
- Dirac Current Invariance: The spacetime current must remain unchanged under gauge transformations. This implies:where are bivector generators. Thus, act only on internal degrees of freedom, orthogonal to spacetime.
- For Yang-Mills:
- For the Standard Model :
- : Generators of (gravitational spin connection).
- : , , and gauge fields.
- : Higgs field (SU(2) doublet).
- (1)
-
Leading Terms:
- (a)
- Cosmological constant: .
- (b)
- Einstein-Hilbert term: .
- (2)
-
Yang-Mills and Higgs:
- (a)
- Gauge kinetic terms: .
- (b)
- Higgs kinetic and potential terms:
- (2)
- Yukawa Couplings (from matter fields):
- Higher-Order Terms: Terms like or appear but are suppressed by , making them negligible at low energies.
- Uniqueness: The Standard Model is not uniquely selected but resides within the landscape of allowed Yang-Mills theories.
- Experimental Consistency: The framework ressembles Connes’ spectral action (see A. H. Chamseddine and Alain Connes [7]), recovering the Standard Model and general relativity while allowing for testable extensions (e.g., higher-curvature gravity).
2.4. Dimensional Obstructions
- :
- Let , then:which is valued in .
- :
- Let , then:which is valued in .
- :
-
Let , where , then:We note that , therefore:which is valued in .
3. Discussion
4. Conclusion
Funding
Data Availability Statement
Conflicts of Interest
Appendix A. SM
Appendix B. RQM in 3+1D
Appendix C. SageMath Program Showing ⌊u ‡ u⌋ 3,4 u ‡ u=detM u
- from sage.algebras.clifford_algebra import CliffordAlgebra
- from sage.quadratic_forms.quadratic_form import QuadraticForm
- from sage.symbolic.ring import SR
- from sage.matrix.constructor import Matrix
- # Define the quadratic form for GA(3,1) over the Symbolic Ring
- Q = QuadraticForm(SR, 4, [-1, 0, 0, 0, 1, 0, 0, 1, 0, 1])
- # Initialize the GA(3,1) algebra over the Symbolic Ring
- algebra = CliffordAlgebra(Q)
- # Define the basis vectors
- e0, e1, e2, e3 = algebra.gens()
- # Define the scalar variables for each basis element
- a = var(’a’)
- t, x, y, z = var(’t x y z’)
- f01, f02, f03, f12, f23, f13 = var(’f01 f02 f03 f12 f23 f13’)
- v, w, q, p = var(’v w q p’)
- b = var(’b’)
- # Create a general multivector
- udegree0=a
- udegree1=t*e0+x*e1+y*e2+z*e3
- udegree2=f01*e0*e1+f02*e0*e2+f03*e0*e3+f12*e1*e2+f13*e1*e3+f23*e2*e3
- udegree3=v*e0*e1*e2+w*e0*e1*e3+q*e0*e2*e3+p*e1*e2*e3
- udegree4=b*e0*e1*e2*e3
- u=udegree0+udegree1+udegree2+udegree3+udegree4
- u2 = u.clifford_conjugate()*u
- u2degree0 = sum(x for x in u2.terms() if x.degree() == 0)
- u2degree1 = sum(x for x in u2.terms() if x.degree() == 1)
- u2degree2 = sum(x for x in u2.terms() if x.degree() == 2)
- u2degree3 = sum(x for x in u2.terms() if x.degree() == 3)
- u2degree4 = sum(x for x in u2.terms() if x.degree() == 4)
- u2conj34 = u2degree0+u2degree1+u2degree2-u2degree3-u2degree4
- I = Matrix(SR, [[1, 0, 0, 0],
- [0, 1, 0, 0],
- [0, 0, 1, 0],
- [0, 0, 0, 1]])
- #MAJORANA MATRICES
- y0 = Matrix(SR, [[0, 0, 0, 1],
- [0, 0, -1, 0],
- [0, 1, 0, 0],
- [-1, 0, 0, 0]])
- y1 = Matrix(SR, [[0, -1, 0, 0],
- [-1, 0, 0, 0],
- [0, 0, 0, -1],
- [0, 0, -1, 0]])
- y2 = Matrix(SR, [[0, 0, 0, 1],
- [0, 0, -1, 0],
- [0, -1, 0, 0],
- [1, 0, 0, 0]])
- y3 = Matrix(SR, [[-1, 0, 0, 0],
- [0, 1, 0, 0],
- [0, 0, -1, 0],
- [0, 0, 0, 1]])
- mdegree0 = a
- mdegree1 = t*y0+x*y1+y*y2+z*y3
- mdegree2 = f01*y0*y1+f02*y0*y2+f03*y0*y3+f12*y1*y2+f13*y1*y3+f23*y2*y3
- mdegree3 = v*y0*y1*y2+w*y0*y1*y3+q*y0*y2*y3+p*y1*y2*y3
- mdegree4 = b*y0*y1*y2*y3
- m=mdegree0+mdegree1+mdegree2+mdegree3+mdegree4
- print(u2conj34*u2 == m.det())
- True
References
- Jaynes, E.T. Information theory and statistical mechanics. Physical review 1957, 106, 620. [Google Scholar] [CrossRef]
- Jaynes, E.T. Information theory and statistical mechanics. II. Physical review 1957, 108, 171. [Google Scholar] [CrossRef]
- Dirac, P.A.M. The principles of quantum mechanics; Number 27, Oxford university press, 1981.
- Von Neumann, J. Mathematical foundations of quantum mechanics: New edition; Vol. 53, Princeton university press, 2018.
- Hestenes, D. Spacetime physics with geometric algebra (Page 6). American Journal of Physics 2003, 71, 691–714. [Google Scholar] [CrossRef]
- Lundholm, D. Geometric (Clifford) algebra and its applications. arXiv preprint math/0605280, 2016. [Google Scholar]
- Chamseddine, A.H.; Connes, A. The spectral action principle. Communications in Mathematical Physics 1997, 186, 731–750. [Google Scholar] [CrossRef]
- Acus, A.; Dargys, A. Inverse of multivector: Beyond p+ q= 5 threshold. arXiv, 2017; arXiv:1712.05204. [Google Scholar]
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/).