Submitted:
17 September 2026
Posted:
18 September 2026
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Abstract
Physical--observation dual-axis (PODA) Theory holds that physical reality is realized jointly through physical state and observation state. A change of observation state can therefore change the realized physical fact even when the physical state is held fixed. We develop the phase law of this PODA structure. A coherent readout of the joint observation law gives a smooth scalar complex response \( g \). Wherever this response is nonzero, differentiating its polar decomposition gives the observed phase rate and the one-form \( A_g=\operatorname{Im}(\mathrm d g/g) \). A transported phase with the same increments differs from the observed phase by a constant reference factor. We derive its differential equation and unique initial-value solution, and show that the equation is horizontal lifting for the unique response-compatible connection on the trivial principal \( \mathrm U(1) \) phase bundle. We call the resulting equation \( \widetilde c^{\,*}\Omega_g=0 \), the Phase Transport Fundamental Equation (PTFE), the first fundamental equation of observation space in PODA Theory. Its group-valued, covariant-derivative and continuous real-phase forms express one transport law: a path and an initial phase determine a unique horizontal lift. Integration gives finite phase comparison, composition along successive paths, and inverse transport between two observation states of the same physical source. Positive amplitude rescaling leaves the law unchanged; synchronized changes of response and fiber coordinates preserve its covariant form. The induced connection is flat and has trivial circular holonomy, although a continuously unwrapped phase may wind. We distinguish the full response \( \mathsf G_0, \) the phase-transport structure \( \mathsf G_1 \), and the task quotient \( \mathsf G_2 \). At the last level, maximal invariants describe the quotient, and a target can be recovered exactly when it is constant on each fiber of the quotient observation. Phase transport and the information retained after a task reduction thus follow from the same joint observation law.
Keywords:
physical–observation dual-axis structure
; PODA
; PODA Theory
; Phase Transport Funda-mental Equation
; phase connection
; horizontal lift
; maximal invariant
; recoverability
- Terminology and notation.
PODA abbreviates physical–observation dual-axis. We use PODA Theory for the theoretical framework and PODA Axiom for its foundational distinction between physical state and observation state. An observation state is a state of the observation system: its apparatus settings, processing rules and reference choices enter the formation of a physical fact. The observation response represents this realized fact in the output space of the joint law.
Following the set-theoretic foundation [1], we write the joint observation law as
Here is the physical-state space and the observation-state space. Admissible pairs form the subset of their product; ⊥ marks a pair at which the observation cannot be implemented. With
the behavior map
becomes bijective after observation states with identical complete behavior have been identified. The physical model fixes the meaning of , as described in Section 2. Differential analysis takes place on a smooth domain , and phase transport on its nonzero response domain . Thus records which observations are admissible, while records where their phase is defined.
1. Introduction
PODA Theory takes physical reality, as realized in an observation, to depend jointly on the physical state and the observation state. Fixing the former does not fix the latter: an objective change of observation state can change the physical fact that is realized. The distinction is essential in coherent measurement, where the phase of a complex response may vary as the observation system changes while the physical source state remains the same. Phase comparison must therefore follow both the source and the conditions through which its response is formed.
Carrier-phase estimation [2] and GPS integer-ambiguity estimation [3] are classical phase-inference problems. Array calibration [4], radar interferometry [5], astronomical self-calibration [6], and phase correction in magnetic-resonance imaging [7] provide further settings in which the observation model matters. These applications motivate the comparison problem considered here. Our derivation begins with the joint observation law and the smooth coherent response specified below.
A periodic physical degree of freedom has a circular phase. Choosing a reference gives a local real representative, and following a trajectory gives a continuous phase lift that retains its winding. The instrument supplies a different object: a complex response whose argument is the observed phase. The observation map determines how this measured phase is related to the physical one.
With the observation state fixed, the familiar model reads
where maps the admissible physical-state domain to the realized response . This single-axis description is a slice of the joint law at a fixed observation state. Its sole explicit argument is the physical state; variation across observation states becomes visible only when the second argument is restored. The domain matters as well: extending the law to all of requires the value at physical states where this observation cannot be implemented.
An operating system may pass through many such observation states. Array weights, beam directions, channel combinations, reference choices, and processing rules can all vary while the physical state under comparison remains fixed. Adaptive arrays and phased-array radar offer concrete examples [8,9,10]. The physical model and experimental protocol determine which of these conditions belong to the observation coordinate. In PODA, this coordinate is an objective constituent of the joint realization: different admissible observation states may produce different physical facts at the same physical state. The physical-state coordinate and the realized fact therefore have distinct mathematical roles.
PODA Theory gives these two roles distinct coordinates through the physical–observation dual-axis (PODA) structure. Its set-theoretic foundation constructs the observation-state space from complete observation records and establishes the minimality and essential uniqueness of the resulting structure [1]. We use the realization in which the physical model supplies physical-state identity and the observation law preserves it. This choice makes a comparison at fixed physical state unambiguous. The question is then precise: how does the phase of a coherent response vary along an admissible path of joint states, and what remains of that variation when the physical state is held fixed?
We answer this question by differentiating the polar decomposition of the response. The resulting phase one-form determines the change along every admissible tangent direction. A principal connection expresses the same relation geometrically once compatibility with the observed response is required. Section 6 derives the transport equation and establishes its unique solution for a prescribed initial phase. Its restriction to a fixed physical-state slice gives the phase law on the observation axis. Integration gives reference conversion, inverse transport, and composition.
The differential construction requires a smooth coherent response in addition to the set-theoretic PODA structure. The response may couple the two coordinates nonlinearly, and its phase need not separate additively. The observation law supplies that dependence; the transport equation expresses its phase variation along a specified path.
Bringing observations to a common phase reference leaves a second question. A particular task may be indifferent to a common phase, a common complex scale, or another prescribed group action. Passing to the corresponding quotient identifies data that the task regards as equivalent. We show when transport is compatible with this identification and when the target quantity survives it. This yields three related descriptions: the full response, its phase transport, and the information that remains after the chosen task reduction.
2. The PODA Structure and Its Smooth Phase Model
Physical state and observation state play distinct roles in the formation of a fact. PODA Theory expresses physical reality through their joint realization: the physical model supplies one coordinate, and the objective state of the observation system supplies the other. Holding the first coordinate fixed still leaves room for the realized fact to vary with the second.
The set-theoretic foundation constructs a minimal observation-state space from a complete observation table with specified state roles [1]. We use its realization that preserves physical-state identity. The resulting joint law gives the two coordinates their precise meaning; a smooth structure and a coherent readout will then allow us to study phase.
2.1. The Admissible Joint Observation Law
Let and be nonempty sets of physical states and observation states, respectively. Let be the set of actual outputs, let , and write . The joint observation law comprises
Let
be the coordinate projections, let be the canonical inclusion, and let . These maps satisfy
Here ⊥ records nonimplementability as determined by the task specification, rather than missing or unknown data. The map F assigns actual outcomes on , which may be a proper subset of .
In this framework, is the realized physical fact represented by the observation law. The coordinate x specifies the physical state being observed, rather than the complete fact realized in the joint state. Consequently, changing the observation state can change the realized physical fact even while the physical-state coordinate is held fixed. This possibility is the substantive distinction between the PODA law and a single-axis representation .
For each , define the complete totalized behavior
and the realized map family
The observation-side behavior map is the corestriction
and the minimal realization of the observation state satisfies
Thus realizes the entire family , with one observation state for each complete behavior. We call this realization behavior-minimal. Distinguishability by complete behavior does not imply identifiability from a single value ; moreover, each observation state has its own domain of admissible physical states.
The two axes designate state roles, without implying linear or orthogonal structure. Product notation allows dependence between the coordinates, while specifies which pairs are physically realizable. The response is the output of this joint law.
2.2. Physical-State Identity and Classical Observation Slices
The foundation distinguishes the physical-state space from the behavioral quotient on the object side. That quotient identifies object labels which the declared observation family cannot distinguish, but this equivalence need not imply physical identity. Throughout this paper, retains the identity determined by an independent physical model, with a compatible map to the observation records. We reduce only the observation side by complete behavior. Anchoring the PODA structure in this physical model gives a precise meaning to changing the observation state while holding the physical state fixed. An observation state describes the observation system and its operating conditions; it does not refer to a human observer.
For a fixed , let
Proposition 2.1
(Classical model on a fixed admissible observation-state slice). The map
gives the classical relation on this slice. Its extension to the complete physical-state space is . The map takes actual-output values throughout precisely when .
Proof.
By definition of , we have for every , and hence lies in . □
The classical single-axis form is thus recovered by fixing the observation state and restricting to the physical states admissible under it. The resulting slice suppresses variation of the observation state. PODA makes that state an explicit coordinate of the joint law, so different admissible slices can realize different physical facts at the same physical state.
2.3. Admissible Fixed-Physical-State Comparison
For , define the admissible observation-state fiber
Proposition 2.2
(Fixed physical-state slice). For any , the restriction
is well defined. For , the outputs and are actual outcomes at the same physical state and can therefore be compared.
Proof.
By definition of , we have for every . □
Unequal values on this slice distinguish observations made at one fixed physical state:
The dynamics or experimental protocol gives such a comparison its temporal and causal interpretation.
The possibility of changing the realized physical fact while holding the physical state fixed is expressed by the condition
The two admissible joint states share one physical-state coordinate yet realize different facts. This is observation dependence at fixed physical state. Its occurrence is determined by the joint law: it may occur on some physical-state fibers and be absent on others. Behavior-minimality concerns a different question. It separates observation states by their complete behavior, which may differ at other physical states or through admissibility alone; unequal actual outputs on a common physical-state fiber establish the dependence considered here.
Let and let
be the physical projection onto its realized image. If two actual outputs on the same physical-state fiber are unequal, no map can satisfy . Conversely, if F is constant on each fiber of , this factorization exists and is unique. Actual outputs and implementability play different roles in this criterion: two observation states may differ in the totalized family only through entries involving ⊥, even though the actual-output law F factors through the physical projection.
2.4. The Same-Source Comparison Domain
The ordered pairs of admissible states with the same physical coordinate form the fiber product
This fiber product is the natural domain of same-source endpoint pairs. Associating a phase difference or a continuous transport law with such a pair also requires a coherent response and the geometric structures introduced below.
2.5. Smooth Structure and Coherent Response
The set-theoretic construction fixes the state roles, admissibility, and observation law. To study phase transport, we now add a smooth model of the relevant states and a complex readout.
Definition 2.3
(Smooth coherent observation model). A smooth coherent specialization of the PODA structure consists of the following data.
- The sets of physical and observation states and carry smooth-manifold structures.
- The physical model specifies an embedded smooth submanifold on which physical phase is considered, together with the phase structure used in the next section. An open region or a smooth periodic orbit may serve as .
-
The analysis is carried out on an embedded smooth submanifoldHere the ambient manifold for the embedding is . We require smoothness on ; the full admissible domain may be nonsmooth or nonrectangular.
- A coherent-output subset and a scalar complex readoutare specified such that . Letbe the corresponding corestriction. The induced responseis assumed smooth.
-
The phase-regular domain isThe differential phase and the induced connection are defined on , where the response can be normalized.
The chosen complex channel may lose distinctions present in the complete observation behavior. In particular, bijectivity of need not make injective after restriction to and composition with . Behavior-minimality concerns the full totalized law , whereas identifiability through the chosen scalar readout is a separate property.
Every path used for phase transport must lie in . To compare states at a fixed physical state by transport, we must therefore specify a path
The endpoints must lie in the same component accessible by an admissible path. Their phase ratio is algebraically defined whenever both responses are nonzero; its interpretation as the solution of a differential transport equation also requires a comparison path of the stated regularity.
2.6. From the Observation Law to Phase Transport
The passage from the observation law to phase transport can thus be written as
The first arrow is the set-theoretic construction established in the companion paper. The subsequent steps use the physical phase model, smooth analysis domain, complex readout, and restriction to nonzero responses specified here. Differentiating the response along admissible paths will give its phase law; response compatibility will then determine the associated connection and transport.
3. Circular Phase, Reference, and Winding
The physical model supplies a phase coordinate with which observed phase may be compared. A periodic trajectory is the basic example: phase is circular, its zero depends on a reference, and a continuous real lift records the winding along a path. We recall these standard properties before relating physical phase to the joint observation law [13,14,15,16].
3.1. Periodic Equivalence and Circular Phase
Suppose the physical model specifies a smooth physical-state manifold and a phase-bearing region . Let
be a smooth oriented periodic trajectory with fundamental period such that
Write . The induced map from is an injective immersion. Its domain is compact and is Hausdorff, so it is a smooth embedding onto C. Normalizing one period to gives the equivalence relation
and hence the phase-state space
We equip this quotient with its standard smooth circle-group structure.
3.2. Reference Selection and Local Real Phase
The periodic physical structure alone does not select a zero phase. Given a reference state , define
Changing translates physical circular phase by a constant; the corresponding change in a measured complex response depends on the observation map and its calibration. A principal-value representative in has a branch discontinuity and therefore cannot serve as a global differentiable phase variable. For differentiation, we use a local real lift or a continuous lift along a path, choosing a compatible initial value.
3.3. Path Lifting and Winding Increments
Let I be an interval, choose , and let
be continuous. For each satisfying
there exists a unique continuous lift
If is piecewise- or smooth, its lift has the same regularity. Different compatible initial representatives give lifts differing by a constant , so their differentials agree wherever defined. For , define
Modulo , this increment is the circular-phase difference between the endpoints; as a real number, it also retains winding information. Thus even when , one may have
This distinction will allow us to separate the circular transport factor from the accumulated unwrapped real phase.
3.4. Physical Phase and Its Observation
The periodic model thus provides the circular phase space , a physical phase map relative to a chosen reference, real lifts, and winding increments on closed paths. How these quantities enter the measured response is determined by the observation map. The next section gives a fiber-constancy criterion for expressing observed phase in terms of physical phase and observation state. Agreement between physical and observed phase evolution requires a further condition on the reference response. We state this condition explicitly in Section 6.7.
4. Phase Formation and Variation Under the Observation Map
Section 2 introduced the admissible PODA observation law
on a smooth coherent domain . Section 3 described physical phase in a periodic model. We now obtain observed phase from the complex readout on and ask when it is determined by physical phase and observation state alone.
The joint response may couple the two state coordinates nonlinearly. We therefore begin with the phase of the response itself and then consider whether its variation can be separated into physical and observation contributions.
4.1. Complex Response Induced by the Observation Map
Let
be a physical phase map supplied by the external physical model, with the periodic orbit C of Section 3 as the basic example. We consider the admissible restriction
We use the physical phase map in the factorization question below. The phase of g can, however, be constructed without specifying such a map.
Suppose the observation channel admits a scalar coherent complex readout, and let
be that readout, with . Recall the coherent corestriction and the induced response
The response remains a function of the physical state x and the observation state s on their admissible smooth domain. Its dependence on these states may be linear, nonlinear, or strongly coupled; we assume neither multiplicative nor additive separability.
On the nonzero domain
the response has the unique polar decomposition
The full nonzero complex response therefore takes values in
The amplitude is part of the full response, whereas the normalized response u records phase alone.
4.2. Observed Phase as a Joint-State Function
Let
be the standard Lie-group isomorphism between circular phases and unit complex numbers. The observed-phase map is
Observed phase is thus a function of the full admissible joint state. To determine whether physical phase and observation state suffice to describe it, define
and let
be its corestriction to the realized image.
Proposition 4.1
(Exact factorization through physical phase and observation state). There exists a unique map
such that
if and only if, for all ,
Proof.
Condition (4.10) states that is constant on each fiber of . If this condition holds, set
Constancy on fibers makes the definition well defined, and surjectivity of ensures uniqueness. Conversely, (4.9) implies constancy on every fiber. □
Suppose an open set admits local physical-state coordinates , where is a local real lift of and describes the remaining local degrees of freedom. After shrinking the joint neighborhood if necessary, any local real lift of observed phase can be written as
Dependence on may prevent factorization through . The global circular-phase map is still ; the local description requires no global product decomposition of .
The phase map is determined by the chosen response g. Even if it factors through , the resulting dependence may be nonlinear. An additive phase translation
requires further assumptions. The observation coordinate enters the formation of the joint response without introducing an independent physical phase.
4.3. Local Phase-Variation Model
Let
be a smooth path of joint states on an interval I. Choose and such that . The path has a unique smooth real lift satisfying . With , we have
Proposition 4.2
(Intrinsic local phase variation). Along every path satisfying Equation (4.12),
If is open in near the path, differentiation in the product gives
Proof.
Differentiating Equation (4.13) and dividing by the nonzero response gives
Taking imaginary parts yields Equation (4.14). When is open in the product, the chain rule reads
and Equation (4.15) follows. □
For a constrained submanifold , the intrinsic formula is (4.14). If the model specifies a smooth extension
then the numerator may be written as
On tangent vectors to , this sum agrees with the intrinsic differential. Its two summands may nevertheless depend on the extension, so assigning them invariantly to the two axes requires further structure.
A splitting of the admissible tangent space along the two PODA directions also permits an intrinsic separation. For , set
Suppose a coordinate-compatible direct sum
has been specified. For and , define
For , the phase rate then decomposes intrinsically as
This decomposition in (4.18) concerns tangent directions and does not imply a global additive decomposition of the phase function.
4.4. Fixed Slices and Same-Source Two-State Phase
Fix an observation state and let be a smooth path in . Its observed-phase lift satisfies
the restriction of (4.14) to this admissible fixed- path.
Similarly, fix a physical state and let be a smooth path in . Then
which describes phase variation along the observation-state slice at .
The admissible observation states with nonzero response at this physical state form the slice
For , both endpoints are implementable and their coherent responses are nonzero. Define
This same-source two-state phase compares the current observation state with the reference observation state , keeping the physical state fixed. In unit-complex form, it is
The relation compares observed phases at two admissible endpoints with nonzero response. Since g may couple physical and observation states, the difference generally still depends on . To interpret this endpoint relation as continuous transport, we specify an admissible comparison path in and impose the response-compatibility condition of the next section. Whether the resulting transport serves as a correction or compensation depends on the chosen reference and the task.
4.5. From Response Phase to Its Differential
We have constructed observed phase through
Along a path, differentiation of the complex response gives
On an open product domain, this differential separates into physical-state and observation-state terms. On a constrained domain, the same separation requires either a specified extension or a coordinate-compatible splitting of tangent spaces. Physical phase and observation state alone describe the phase exactly when the factorization criterion of Definition 4.1 holds; otherwise the remaining physical degrees of freedom must also enter. The next section distinguishes the full response fiber from its phase factor and constructs the phase connection from response compatibility.
5. Response Bundles and the Phase Connection
Polar decomposition separates this response into amplitude and phase and gives a corresponding decomposition of the response bundle. On the nonzero joint-state domain, the normalized response induces a phase one-form. Requiring its section to be horizontal then determines a unique response-compatible principal phase connection. The horizontal lifts of this connection define phase transport.
5.1. Full Complex-Response Bundle and Nonzero Principal Response Bundle
Let the complex line response bundle over the coherent joint-state domain be
with response section
This section is defined at every joint state, including those at which the response vanishes.
To use the multiplicative structure of the response, restrict to its nonzero domain:
where and m denotes a joint state in . Restricting L to and removing the zero section gives
With the right action
is a trivial principal bundle. Its response section is
Thus takes values in , whose fibers admit the polar decomposition
The positive real factor records amplitude, while records phase.
5.2. Amplitude–Phase Decomposition and the Principal Phase Bundle
The amplitude and phase factors define the bundles
The right action on is
Polar decomposition in each fiber gives the diffeomorphism
Hence
Under this decomposition, the response section has amplitude and phase components
These are sections of their respective bundles, since
We will construct the phase connection on ; the amplitude remains a separate component in .
5.3. Differential of the Full Response and the Phase One-Form
On the multiplicative Lie group , define the complex Maurer–Cartan form
On , the corresponding real phase form is
If with and , then
The real part therefore measures logarithmic amplitude variation, and the imaginary part measures phase variation.
Pulling this decomposition back along gives
where
The response-induced phase one-form measures phase variation on the nonzero joint-state domain. Its value on a tangent vector gives the infinitesimal phase change in that direction: for ,
Along a joint-state path ,
recovering the local phase law of the previous section. The one-form thus expresses the first-order phase response in every admissible joint-state direction.
5.4. The Response-Compatible Principal Phase Connection
To compare phases over different joint states, we specify horizontal directions in the total space of the phase bundle. These directions are determined by a principal connection [11,12].
Let be the second projection and identify with by . A real one-form on the principal bundle is a principal phase connection when it reproduces every fundamental vertical generator, , and is invariant under the right action.
Remark (Principal connections on the trivial phase bundle)
For every base one-form ,
is a principal connection on . Conversely, every principal connection in this trivialization has this form for a unique K. To see this, note that is horizontal and right invariant. The difference between any principal connection and is likewise horizontal and right invariant, so it is basic and descends to a unique one-form on the base. The horizontal lifts of the connection above satisfy
The observed response selects a connection from this family through the following compatibility condition.
Definition 5.2
(Response compatibility). A principal connection on is response-compatible with if the normalized response section is horizontal:
Equivalently, for every path , the response lift is horizontal. Thus the phase of the complex readout itself follows a horizontal path in the phase bundle.
Theorem 5.3
(Existence and uniqueness of the response-compatible connection). On there exists exactly one principal connection that is response-compatible with . It is
For a base path , a lift is horizontal precisely when
The compatibility condition is that of Definition 5.2.
Proof.
By Definition 5.1, (5.21) defines a principal connection. Pulling it back along the normalized response section gives
so this connection is response-compatible. Conversely, write an arbitrary principal connection in the unique form of (5.19). Its pullback is
It is therefore response-compatible if and only if , proving uniqueness under the stated condition. Finally, the horizontal condition is precisely (5.22). □
In particular, the observed phase section satisfies
Its graph is therefore a horizontal section for .
5.5. Flatness, Holonomy, and Zeros
Since is Abelian, its phase form is closed: . Pullback commutes with exterior differentiation, so gives
The curvature of the response-compatible connection is therefore
Thus the connection induced by the normalized response is flat. It also admits the global horizontal section . Consequently, for every closed piecewise- loop c in ,
On a non-simply-connected base, a flat connection can have nontrivial holonomy. Here the global horizontal section gives the stronger conclusion (5.26). Winding is retained by the real lift: its phase may change by around a closed loop, while exponentiation sends this change to the identity in .
To obtain nontrivial circular holonomy or Berry curvature, one must supply further geometry, for example a different connection , nontrivial bundle or transition data, or a singular extension across the excluded zeros.
The roles of zeros, vanishing phase variation, and amplitude can now be distinguished:
- (1)
- If , the complex line response bundle and its response section remain defined, but is undefined. The response therefore induces no canonical phase section, phase one-form, or phase connection at that point.
- (2)
- If but , the phase remains well defined. Only its first-order variation vanishes, in every admissible direction at that point.
- (3)
- The phase connection compares points in the pure phase fiber. Amplitude evolution is described separately by
5.6. From the Response Bundle to Transport
The passage from the coherent response to the phase connection is therefore
The nonzero response fiber is , with phase factor . The response induces the base one-form and hence the response-compatible principal phase connection . The next section derives the differential equation of this transport directly from the normalized response and proves its equivalence to the horizontal condition .
6. Derivation of Phase Transport and Its Finite Forms
We begin with the nonzero joint-state domain introduced in Section 5,
and the restricted response . We write g for this restriction whenever the domain is . The normalized response determines the response-induced phase one-form and the response-compatible principal phase connection:
By Theorem 5.3, a lift is horizontal for this connection exactly when
This relation has been obtained from the response-compatible connection. We now derive the phase evolution from the response itself, with phase measured in radians.
6.1. Differentiable Lifted Paths and the Phase Functional
Let be a compact interval, and let
denote the space of continuously differentiable base paths. The corresponding space of lifted paths is
We write the space of one-forms with continuous coefficients on the interval as
Definition 6.1
(Phase-transport differential functional). The response-compatible principal phase connection defines the differential functional
For each lifted path, this functional records the difference between the phase variation of the lift and that of the response. It is a one-form on the parameter interval.
6.2. Derivation from the Normalized Response
A phase transported with the response must acquire the same increments as the response phase. Its initial reference may be chosen freely: changing that reference multiplies every phase along the path by one constant element of . This gives a finite comparison criterion before any differential equation is imposed. If is the observed phase and is the transported phase, their relative phase must remain constant.
Theorem 6.2
(Derivation of the response transport equation). Let be smooth, let , and write
Then the observed phase satisfies
For a lift , choose with , and let ψ be the real lift of ζ with initial value . The following conditions are equivalent:
- (1)
- The relative phase is constant on I.
- (2)
- The group-valued differential relation holds:
- (3)
- The covariant derivative vanishes:
- (4)
- The real phase lift satisfies
- (5)
- The lifted path is horizontal for the response-compatible connection:
For every initial phase , these conditions determine the unique lift
If, near the path, is open in , set . More generally, suppose a smooth extension to a product neighborhood is specified. Writing , the real-phase equation then becomes
Proof.
Differentiate and divide by the nonzero response:
The first term on the right is real. Since , differentiation gives . Taking imaginary parts therefore yields
which proves (6.8).
For an arbitrary phase lift, the product rule now gives
Thus the relative phase is constant precisely when the covariant derivative vanishes. Multiplication by gives the group-valued form. Substitution of gives the real-phase form. Finally,
so these relations are equivalent to horizontality for the connection already determined in Section 5.
Constancy of and the initial value force . This gives (6.13), which is and satisfies all five conditions, proving existence and uniqueness. Under the product-neighborhood hypothesis, the chain rule gives
and proves (6.14). □
Definition 6.3
(Phase Transport Fundamental Equation). The response transport equation established in Theorem 6.2, written intrinsically as
is called the Phase Transport Fundamental Equation (PTFE).
Within PODA Theory, this is the first fundamental equation of observation space. For a fixed physical state and an admissible path in , the derived law restricts to
The phase can therefore change along the observation axis while the physical-state coordinate remains fixed. On a joint path, both coordinates contribute. The law determines the phase change of a specified coherent response; the physical model and observation protocol determine the response and the path.
Equation (6.14) gives the two directional contributions when the stated product-neighborhood hypothesis holds. Each term may depend on the full joint state. With an extension , the separate terms may depend on the extension, but their sum on an admissible tangent vector is intrinsic. Along a fixed-physical-state path, the observation-direction value in (6.16) is intrinsic even when the admissible domain is not a product.
6.3. Fundamental Properties of Response-Compatible Transport
Theorem 6.4
(Fundamental properties of PTFE). Let be smooth. With phase measured in radians and response compatibility given by (6.4), PTFE satisfies the following properties.
- (1)
-
Response induction.The chaindetermines the phase connection directly from the response, without an additional empirical phase term.
- (2)
- Uniqueness of the compatible connection.A lifted path satisfies (PT) if and only if it is horizontal for . Among principal connections on this trivial phase bundle whose horizontal lifts satisfy (6.4) along every base path, is the unique such connection.
- (3)
-
Uniqueness of the first-order response law.If satisfiesfor every path c, then .
- (4)
- Initial-value well-posedness.Every base path c, together with an initial phase-fiber point , determines a unique horizontal lift.
- (5)
- Finite-path extension.Integration of the response-induced phase one-form extends finite transport uniquely by additivity to piecewise- paths, with the corresponding identity, reversal, and concatenation laws.
- (6)
- Reparametrization invariance.For every diffeomorphism , satisfies (PT) if and only if does.
- (7)
-
Gauge covariance.For every smooth , defineThenConsequently, is -horizontal if and only if is -horizontal. Here the response and the phase-fiber coordinates transform together.
- (8)
- Positive-amplitude invariance.For every smooth , one has and , so PTFE is unchanged.
Proof.
The definitions give response induction directly. To prove uniqueness of the connection, write an arbitrary principal connection in the chosen trivialization as
for a one-form on the base. Agreement of its horizontal condition with (6.4) on every base tangent vector forces , and therefore .
For uniqueness of the first-order law, fix and , and choose a local path through with . Since , evaluation of the assumed identity on this path yields
Thus .
Theorem 6.2 proves existence and uniqueness of the lift and gives its solution in (6.13). Integrating over a finite partition gives the additive extension and the finite transport laws, while functoriality of pullback proves reparametrization invariance.
Under the gauge transformation, the induced phase one-form becomes
and the Abelian Maurer–Cartan identity gives
Cancellation of the added terms proves (6.18). Positive-amplitude invariance follows from for . □
Remark (Dependence on the response) 6.5
The observation law and coherent readout determine the phase transport equation through
This construction assumes a globally defined smooth scalar response and a path along which that response is nonzero. A treatment using only local response coordinates or a nontrivial phase bundle also needs transition data; a treatment of zero crossings needs singular data.
6.4. Finite Phase Transport
Let
The line integral along such a path is the sum of the integrals over its continuously differentiable pieces. It defines the finite phase increment and the associated circular transport.
Definition 6.6
(Finite phase increment and circular transport). For , define
and
The normalized response gives the endpoint expression
If denotes piecewise- concatenation and path reversal, then
Since , circular transport along an admissible path depends only on its endpoints. The real increment also records winding: for two piecewise- paths with the same endpoints,
and .
The ratio in (6.23) has a broader algebraic meaning: it converts between the phases of any two nonzero endpoint responses. It represents finite transport when a piecewise- path connects the endpoints in . For endpoints in different path components, the ratio remains defined, but there is no connecting line integral or unwrapped phase increment.
6.5. Same-Source Two-State Transport on a Fixed Physical-State Slice
For a fixed physical-state coordinate , the admissible nonzero observation-state fiber is
Let . To transport phase from to while holding the physical state fixed, consider a piecewise- map
such that
The entire connecting path lies in the admissible nonzero fiber over the chosen physical state.
Along a path satisfying (6.31), the same-source two-state transport factor is
Theorem 6.7
(Same-source two-state inverse phase transport). Suppose (6.31) holds. Transport along the reversed path has the factor
It is the unique element of satisfying
or, in response coordinates,
Proof.
Path reversal and the endpoint expression (6.23) give (6.33). Multiplying by proves (6.34). Any other group element satisfying the same identity must coincide with this factor, as right multiplication by shows. Substitution of gives the response-coordinate formula. □
If the two nonzero responses admit no connecting path satisfying (6.31), formula (6.35) still gives an algebraic endpoint conversion. It is the connecting path at fixed physical state that makes this conversion a same-source two-state transport.
Applied to the current response, inverse transport changes its phase to the reference phase while preserving its amplitude. Recovery of the full reference response therefore also requires the reference amplitude. The phase factor itself uses both nonzero endpoint responses, which must be supplied by the response model or by measurements.
6.6. Dynamic Reference Conversion
On a compact interval I, consider two piecewise- joint-state paths:
At each time, the current and reference paths share the same physical-state coordinate. The reference observation state may move; a fixed reference is the special case , provided its entire joint-state path lies in .
The pointwise conversion factor is
By construction,
at every time. Each response path obeys its differential phase law on its subintervals. When the reference observation state moves, the converted phase includes the phase change associated with that motion as well as with physical evolution. To realize the pointwise conversion as transport along the observation axis, one needs a connecting path at the instantaneous physical state.
For each t, choose such a piecewise- connecting map
with
These paths give a continuous family of slice transports when they depend continuously on t; differentiating the family requires the corresponding additional regularity. If no such connecting paths are available, (6.37) retains its meaning as a pointwise endpoint conversion.
Computing (6.37) requires knowledge of the reference response. A calibrated model or reference measurements must supply , since the current response alone generally does not determine it.
For a fixed reference with a reference path, a compatible real lift of satisfies
Because is tangent to , this equation uses the intrinsic differential of the response and needs no ambient splitting of . Under the product-neighborhood or specified-extension hypothesis of Definition 6.2, the numerator can also be written as . The equation describes the phase observed at the fixed reference observation state. Agreement with an independently specified intrinsic physical-phase law requires the reference slice to be phase faithful, either directly or after a calibrated phase correction. Thus each same-source comparison holds the instantaneous physical state fixed, and the resulting conversion expresses the evolving signal in the chosen reference observation state.
6.7. A Phase-Faithful Reference
Let be an open set on which the physical phase map is smooth, and suppose for every . A fixed reference state is phase faithful on U, up to a constant choice of phase zero, when there is a constant such that
Along a physical path in U, choose compatible real lifts of and of . Their difference is constant, and hence . This follows directly by differentiating (6.40).
More generally, a calibrated phase correction may satisfy
The corrected response then has the physical phase rate. The reference model or calibration must supply b and establish this relation; conversion to a common observation state alone does not establish it.
6.8. Response Data, Observation Structure, and the Phase Level
To distinguish the complex response from the phase transport it induces, we record the response together with the observation structure from which it arises.
Definition 6.8
( response data and observation structure). The full complex-response data object is
and the associated observation structure is
Together, they form
The response data retain amplitude, phase, and the zero set, while the observation structure records the admissible joint-state domain, the observation law, and the coherent readout. Because a response value may arise from several joint states , the value alone does not recover this structure.
Definition 6.9
( phase-differential and transport level). The induced phase level is
The differential functional and the covariant equation are defined on paths; the finite quantities , , and also apply to piecewise- paths. This level retains normalized phase, its first-order variation, and finite transport. It contains neither amplitude information nor a phase assignment at zeros of g.
The hierarchy –– places response data and their successive reductions within one PODA observation law. In Section 7, is obtained from a task data object by a group action representing freedoms irrelevant to the task.
6.9. From the Differential Law to Finite Comparison
The observation law thus leads from a complex response to a differential phase equation and, by integration, to finite comparison:
Response compatibility fixes the connection and the first-order phase law, so the horizontal lifts on paths and the finite transport on piecewise- paths describe the same phase evolution. Their covariance under a simultaneous change of response and phase-fiber coordinates is expressed by .
The smooth nonzero domain is essential: normalized phase and its induced connection are undefined at a response zero. Within a fixed physical-state slice, an admissible nonzero connecting path gives the endpoint phase relation its meaning as same-source two-state transport. PTFE then determines how the phase of the given response varies along that path, while the physical and measurement models supply the trajectory and the response.
7. : Task Quotient, Maximal Invariants, and Recoverability
Section 6 established how to compare phases by horizontal lifting along admissible paths in . With these transports and the endpoint responses in hand, we can ask which distinctions in the resulting data matter for a given task. A common scale, phase reference, or coordinate choice may carry no information about the target; in that case, the task representation can identify data that differ only by that freedom.
Neither the complex response g nor PTFE determines these task-dependent identifications: the same data may serve several tasks with different invariances. To construct , we must therefore specify both a task data space and a group action on it. The quotient records the distinctions left by this action, and the recoverability criterion tells us whether those distinctions suffice to determine the target. We first work with sets; smoothness enters when we consider the geometry of the quotient.
7.1. Task Data After Transport Unification
Let denote the domain of admissible task data, with the physical states, observation states, times, channels, or data blocks relevant to the task. Combining the full response of with the phase transport of gives a task-specific transport-unified data map
where is the task data space. It may consist of sequences, multichannel vectors, multisource response matrices, or collections of relative phases. Thus the data supplied to the quotient may contain several related observation components.
The term “transport-unified” means that phase components to be compared across observation states have been expressed relative to the common reference prescribed by the task. This comparison leaves amplitudes, channel gains, and other data available for subsequent use. The role of is to make phases comparable; the role of is to identify data under the freedoms that the task declares irrelevant.
7.2. Task-Group Action, Equivalence, and Quotient Observation
Definition 7.1
(Task-irrelevant transformation group). Let be a group with a left action on ,
If the task regards all data on the same orbit as equivalent, so that and z are indistinguishable with respect to the target quantity, we call the task-irrelevant transformation group.
Whether a common complex scale, common phase, channel reweighting, or coordinate transformation is irrelevant depends on the target. The action specifies the proposed identifications; their suitability must come from the task.
Definition 7.2
(Task equivalence and quotient observation space). For , define
The class
is the task orbit of z. The set of all orbits is the quotient observation space
The group axioms ensure that is an equivalence relation, so its classes form a quotient set. If is topological and the action is continuous, we equip this set with the quotient topology. If is a Lie group, a smooth manifold, and the action smooth, free, and proper, then admits a unique smooth-manifold structure making a smooth submersion [13]. When these hypotheses fail, singularities may occur and the quotient need not be a smooth manifold.
7.3. Factorization of Invariants and Maximal Invariants
Definition 7.3
(Task invariant). A map
is a task invariant with respect to if
Theorem 7.4
(Quotient factorization of task invariants). A map is -invariant if and only if there exists a unique map
such that
Proof.
Suppose first that I is invariant, and define . To check that this definition is independent of the representative, let . Then for some k, so invariance gives . The resulting map therefore satisfies Equation (7.9). Since is surjective, this identity determines the map on every quotient class and proves uniqueness.
Conversely, suppose that . Points on the same orbit have the same quotient class, and hence
which proves that I is invariant. □
Every invariant can thus be read from the quotient observation . Some invariants still assign the same value to distinct orbits. A maximal invariant makes no such further identifications.
Definition 7.5
(Maximal invariant). A task invariant is maximal if
Theorem 7.6
(Equivalence between maximal invariants and quotient observations). Let be invariant and let be the induced map from Definition 7.4. Then I is maximal if and only if
is a bijection. The attained values of a maximal invariant therefore give a canonical representation of the quotient observation space.
Proof.
By its definition, the corestriction is surjective onto . Suppose that I is maximal and that . Then , so maximality gives . Thus is also injective, proving that it is a bijection.
Conversely, suppose that is bijective. By definition, is equivalent to . Injectivity makes this last equality equivalent to , or, equivalently, . This is precisely the defining condition for maximality. □
A maximal invariant therefore records exactly which task orbit contains the data. Its values retain every distinction between orbits while discarding the prescribed freedoms within each orbit.
7.4. Recoverability Criterion for Target Parameters
Let the target be
where is the target space. Applying the quotient projection to the transport-unified data gives the observation
For recovery, only quotient observations attained by admissible data are relevant. We therefore use the corestriction
Definition 7.7
(Recoverability from the quotient observation). The target is recoverable from the quotient observation if there exists
such that
Theorem 7.8
(Necessary and sufficient condition for quotient-observation recoverability). The target τ is recoverable from Equation (7.13) if and only if, for all ,
In other words, τ must be constant on each fiber of .
Proof.
Suppose that Equation (7.16) holds. If two observations belong to the same task orbit, then , so applying the recovery map gives
Conversely, assume Equation (7.17). Given , choose any d satisfying and set . Such a choice exists because the quotient observation is attained. Constancy on fibers makes the value independent of the chosen d, so this defines a recovery map satisfying Equation (7.16). □
If I is maximal, define the corestriction
Since a maximal invariant distinguishes exactly the quotient classes, the same criterion is equivalent to the existence of a unique recovery map on satisfying
Passing from the quotient observation to a maximal invariant therefore leaves the class of recoverable targets unchanged. This is an exact, set-theoretic criterion. Continuity, numerical stability, and recovery from noisy data require additional assumptions on the observation map and the target.
7.5. Compatibility Between Phase Transport and Task Quotienting
The preceding construction forms the quotient after has established the phase references. To compare quotient observations across such changes of reference, the corresponding data transformation must respect task orbits. Equivariance guarantees this property, although orbit preservation alone is sufficient.
Let and be task data spaces carrying actions of , and let
be a data transformation assembled from a family of phase-transport operators.
For , let
denote the specified action and its quotient projection. Write
Definition 7.9
(Orbit-respecting data transformation). The transformation is orbit respecting if
This condition says exactly that is independent of the representative, and hence defines a map of quotient sets.
Definition 7.10
(Transport–task-group equivariance). The transformation is equivariant if
An equivariant transformation is therefore orbit respecting.
Theorem 7.11
(Induced transport on the quotient). If is orbit respecting, there exists a unique map
such that
and
If is an equivariant bijection, then is a bijection. If a family of orbit-respecting transports satisfies path composition, the induced quotient transports satisfy the same composition law.
Proof.
Define the induced map by Equation (7.24). Orbit preservation ensures that changing the representative does not change its image class. This definition gives the commuting relation, and surjectivity of shows that the relation determines the induced map uniquely.
If is an equivariant bijection, its inverse is also equivariant. Applying the construction to the inverse gives , which is inverse to . Finally, composing two commuting quotient squares gives the square for the composed transport. Uniqueness of the induced map therefore carries the path-composition law to the quotient. □
This theorem explains how transport acts on observations. Orbit preservation is the essential requirement: if it fails, different representatives of one initial class can produce different classes after transport. Thus even a nonequivariant transformation descends to the quotient whenever it satisfies (7.20).
7.6. Scalar Collapse and a Complex-Projective Example
A single complex scalar already shows how strongly the information retained by a quotient depends on the task group.
Proposition 7.12
(Collapse of a single complex scalar under full complex scaling). Let and let act by multiplication. The action is transitive, and hence
Consequently, every task invariant is constant: the quotient retains no nontrivial information.
Proof.
Given any , take . This choice gives , proving that every pair of points belongs to the same orbit and that the action is transitive. □
Nontrivial information can survive only if we enlarge this data space or quotient by a smaller group. With several observation components, a common complex scale leads to the familiar projective construction. Let
and let act diagonally,
Then
This quotient discards common amplitude and common phase, leaving the relative complex direction.
On the chart
define
The ratios defining are unchanged by common complex scaling, and they form a maximal invariant on . To see maximality, suppose that . Taking then gives , so equal ratios place the two vectors on the same orbit. The standard projective transition functions relate these charts, which together represent .
The common-scale action is what gives the projective quotient in (7.28). When only common phase is irrelevant, the appropriate group is and the quotient still retains amplitude. Channel permutations and other nuisance transformations likewise require their own actions and yield their own quotients.
7.7. The Construction and the Three-Level Hierarchy
Definition 7.13
( task quotient). Given the admissible task domain , the transport-unified observation map , the task-irrelevant group , and its action , define
A maximal invariant I provides an equivalent representation of this quotient. A recovery map , when it exists, is additional data specifying how a particular target is obtained from the quotient observation.
The roles of the three levels can now be summarized as
The dependence of these constructions is
retains the selected complex response together with its joint state; retains the normalized phase and supplies phase transport along admissible paths in ; and identifies data under the prescribed task freedoms. These levels describe representation and reduction within the PODA physical–observation dual-axis structure; its physical-state, observation-state, and response roles describe a different aspect of the model.
Proposition 7.14
(Task dependence of ). Even on a fixed transport-unified data space , different task-irrelevant groups and generally give different equivalence relations and quotient spaces. Thus and alone do not uniquely determine ; the task-group action must also be specified.
Proof.
Consider . With acting by common phase, each component amplitude remains in the quotient. With acting by common complex scale, common amplitude is also identified. The two actions therefore partition the same data space into different orbits and produce different quotients. □
7.8. Relative Completeness and Exact Information Loss
The preceding results describe information retention in terms of factorization: a representation retains what a target requires precisely when that target factors through it. We now use this principle to compare the three levels, each relative to its own class of problems.
Definition 7.15
(Representation completeness relative to a problem class). Let be a data domain, a representation map, and a class of target maps. The representation R is complete for if, for every , there exists a unique map
such that
where is the corestriction of R to its image. Completeness therefore means that R retains enough information to determine every target in .
To identify the information retained by the full phase representation, fix the nonzero joint-state domain and write
where acts on by pointwise multiplication. Normalizing each response defines
Proposition 7.16
(Exact quotient structure from nonzero response functions to the full ). The map is surjective, and for ,
Consequently, induces the canonical bijection
With the nonzero domain and joint-state identity fixed, the full therefore identifies exactly those responses that differ by a positive amplitude function, while retaining all circular phase data.
Proof.
Given any , take . Then , proving that is surjective. If with , normalization cancels the positive factor and leaves the same unit phase. Conversely, suppose that and set . The function is positive and smooth, and equality of the unit phases gives . Since is nowhere zero, no other multiplier can satisfy this identity. Thus the fibers of are exactly the orbits, which proves the claimed quotient bijection. □
Theorem 7.17
(Relative completeness of ––). Fix a selected scalar coherent readout and response , the full on the nonzero domain , and a determined by , a task group , and its action. Then:
- (1)
-
Response-graph completeness of .LetThe map is a bijection. It follows that every target admits a unique map satisfying . This factorization uses the graph point, which contains the joint state m as well as its response .
- (2)
-
Phase-problem completeness of .The full includes the normalized phase . Under the standard radian normalization and the response-compatibility condition, determines the response-induced phase one-form , the response-compatible connection , PTFE, the covariant derivative, and all finite transports. Consequently, every model-level phase problem invariant under positive amplitude rescaling,factors uniquely through . If we retain only the differential–transport substructure and omit , recovering also requires one constant phase anchor on each path component.
- (3)
- Task-invariant completeness of .The quotient projection is complete for all -invariant problems. Every task invariant factors uniquely through this projection, and every maximal invariant gives a bijective representation of the quotient. A target τ is recoverable precisely when it is constant on each fiber of .
- (4)
- Relative completeness of the full hierarchy., the full , and are thus complete for their respective problem classes: full-response-graph problems, phase problems invariant under positive amplitude scaling, and quotient invariants and recoverable targets for the prescribed task group.
Proof.
For part (1), the inverse is . Hence is a bijection, and composing any target with this inverse gives its unique factorization through the graph.
For part (2), Definition 7.16 identifies the fibers of with the positive-amplitude orbits. Every problem constant on these orbits therefore factors uniquely through . The phase one-form and connection are given by
so the remaining objects are determined by . To see what can be recovered from the transports alone, suppose all finite transports are given. For any and , choose a smooth path
and let denote its oriented segment from 0 to t. Differentiating the transport at the initial point recovers the phase one-form:
Once a phase anchor is supplied on a path component, the transport functional gives the phase at every point of that component by
where c connects to m. Since circular transport around a closed loop is the identity, the recovered phase is independent of the chosen path.
For part (3), Definitions 7.4, 7.6 and 7.8 give, respectively, factorization of invariants, equivalence of maximal invariants and quotient observations, and the criterion for target recovery. Part (4) collects these conclusions for the three problem classes. □
Proposition 7.18
(Constant-phase anchor loss in the differential–transport substructure). Let be smooth. The following are equivalent:
- (i)
- ;
- (ii)
- for every piecewise- path c;
- (iii)
- On each path component there exist a constant and a unique positive smooth function such that
If the responses induce the same full , they also have the same , forcing every . Thus the full discards only positive amplitude. Retaining only and transport additionally discards one constant phase anchor on each path component.
Proof.
The identity gives (ii) from (i), while Equation (7.39) gives (i) from (ii). To prove (iii), assume (i) and define . The Abelian group law on gives
At every point, is a linear isomorphism from to , so the vanishing pullback implies . Hence h is constant on each path component; denote its value there by . Taking gives the required positive smooth multiplier, uniquely determined by the response magnitudes, and proves (iii). Conversely, neither a constant phase factor nor a positive amplitude factor changes , so (iii) implies (i). Finally, agreement of the full representations includes and therefore forces . □
Proposition 7.19
(Exact orbit loss from transport-unified data to ). For ,
Quotient reduction therefore identifies exactly the points of each task-group orbit. It acts on the data assembled from and , which may include more than the phase representation alone.
Proof.
By definition, the quotient projection assigns the same value to two points precisely when they lie on the same orbit. If we represent by a maximal invariant, Definition 7.6 shows that its values also distinguish every pair of distinct orbits. □
Remark (Recovering the response from a scalar readout)
When the readout is not injective, the scalar value determines only if is constant on every fiber of g. Equivalently, there must be a map satisfying for every . The graph map is nevertheless bijective: it retains the base point m together with , and records the underlying maps and . The completeness of the graph concerns this retained state–response pair and requires no inverse for the scalar readout.
7.9. Task Reduction in the PODA Model
Once the task action is specified, phase-comparable data determine a quotient observation. A maximal invariant represents the same observation, and the fiber criterion decides whether it determines the target. When transport respects the task orbits, this reduction also carries the transport to the quotient.
The orbit structure determines the extent of this reduction. A transitive action collapses all data to a single quotient point; more generally, variation of the target within an orbit obstructs recovery. The nonzero-path condition and the regularity hypotheses above specify when phase comparison and smooth quotient geometry are available.
This construction links the PODA response model and PTFE to task recovery. In a coherent sensing application, the choice of data map , the action of , and the target determines both the quotient to be formed and the recovery question to be answered.
8. Conclusion
PODA expresses the joint dependence of realized physical reality on physical state and observation state. Holding the physical state fixed leaves an observation axis along which the realized fact can still change; fixing the observation state recovers the familiar single-axis description. A coherent readout of the joint law gives a complex response, from which the geometry of phase follows. On a smooth domain where the response is nonzero,
Differentiating gives for . A transported phase with the same increments differs from v by a constant factor, so it satisfies . This derived relation is horizontal lifting for the unique response-compatible connection
We have named the resulting equation PTFE, the first fundamental equation of observation space in PODA Theory:
The group-valued, covariant-derivative and continuous real-phase expressions describe the same first-order law. Along piecewise- paths, integration gives
An initial phase fixes the horizontal lift. Reversing the path reverses the comparison, and concatenating paths composes it. With the physical state held fixed, the finite solution brings the current phase to that of a reference observation state. A phase-faithful reference, or a calibration of its response, then relates this common reference phase to the intrinsic physical phase.
The three representations distinguish what is retained at each step. The full complex response carries amplitude, phase and zeros. The complete phase representation identifies responses that differ by a positive amplitude factor; if only its differential and transport are retained, one phase anchor is also needed on each path component. The task quotient identifies precisely the data related by the chosen group action. Its maximal invariants distinguish the resulting orbits. A target survives the reduction exactly when it is constant on every fiber of the quotient observation, and transport passes to the quotient exactly when it preserves the orbits. Equivariance is one sufficient way to ensure this compatibility.
The geometry reflects the response from which it was constructed. A globally defined nonzero scalar response gives a flat connection with trivial circular holonomy, while the continuously lifted phase retains integer winding. At a zero, normalization ceases to define a phase; continuous same-source transport therefore follows a path within a nonzero observation-state slice. The physical system and the observation protocol determine the path, and PTFE determines the coherent phase along it. A concrete application can thus begin with its observation law, bring its phase readings to a common reference, and choose a task reduction whose fibers preserve the quantity to be recovered.
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