Quantization of dynamical symplectic reduction
Martin Bojowald, Artur Tsobanjan

TL;DR
This paper addresses the challenge of quantizing constrained dynamical systems in quantum gravity, proposing an algebraic framework with new structures to ensure well-defined evolution.
Contribution
It introduces an algebraic formulation of the quantization problem for constrained systems and identifies conditions for consistent evolution.
Findings
New algebraic structures for quantization
Conditions for well-defined quantum evolution
Framework applicable to quantum gravity models
Abstract
A long-standing problem in quantum gravity and cosmology is the quantization of systems in which time evolution is generated by a constraint that must vanish on solutions. Here, an algebraic formulation of this problem is presented, together with new structures and results, which show that specific conditions need to be satisfied in order for well-defined evolution to be possible.
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Quantization of dynamical symplectic reduction
Martin Bojowald1***e-mail address: [email protected] and Artur Tsobanjan2†††e-mail address: [email protected]
1Institute for Gravitation and the Cosmos, The Pennsylvania State University,
104 Davey Lab, University Park, PA 16802, USA
2 King’s College, 133 North River Street, Wilkes–Barre, PA 18711, USA
Abstract
A long-standing problem in quantum gravity and cosmology is the quantization of systems in which time evolution is generated by a constraint that must vanish on solutions. Here, an algebraic formulation of this problem is presented, together with new structures and results, which show that specific conditions need to be satisfied in order for well-defined evolution to be possible.
1 Introduction
When time-reparameterization-invariant dynamical systems are cast as Hamiltonian theories on a symplectic manifold one finds that time evolution and time-reparameterization flows are generated by one and the same phase-space function—the Hamiltonian constraint. The straightforward application of the usual methods of symplectic reduction to such dynamically constrained systems has the undesirable side-effect of also removing their dynamics, and needs to be replaced by dynamical syplectic reduction. This paper describes a method of dynamical reduction for the quantized versions of such systems, where non-commutativity leads to a host of additional complications. However, since dynamically constrained systems are rarely studied outside of canonical approaches to quantum gravity we dedicate most of this introductory section to the review of their classical (i.e. non-quantum) treatment. Our main results and the structure of the rest of this manuscript are outlined at the end of the introduction.
Given a symplectic manifold and , the symplectic reduction [1] of by is the orbit space of with respect to the gauge flow in generated by the Hamiltonian vector field of , . Because , the flow preserves , and the orbit space inherits a unique symplectic form from the presymplectic form on , where is the inclusion of in . The set of observables of the constrained system, which solve the constraint equation and are invariant under the gauge flow, is given by .
In addition to implementing a constraint by symplectic reduction, physical systems usually require the definition of a dynamical flow. The canonical way is to select a Hamiltonian function which generates the dynamical flow with the Hamiltonian vector field of . A dynamical flow in the presence of a constraint is consistent if it preserves the constraint surface, that is, on with the Poisson bracket defined by . The same condition ensures that the dynamical flow is well-defined on the reduced phase space because it is compatible with the gauge flow: By the Jacobi identity of , a gauge transformation (that is, the diffeomorphism induced by a gauge flow) commutes with the dynamical flow up to a gauge transformation. Since on , there is a such that on , and
[TABLE]
In systems typically encountered in general relativity or its cosmological models, the dynamical flow is simultaneously a gauge flow. A system is time-reparameterization invariant if, given a solution of its dynamical flow such that for all , is also a solution for any monotonic . Any such can be obtained from by following the flow generated by the Hamiltonian itself together with a suitable non-zero multiplier via
[TABLE]
Therefore the Hamiltonian function is itself the generator of a gauge flow. Observables are functions on the orbit space of the gauge flow. This orbit space inherits a Poisson structure from , with symplectic leaves given by the level surfaces of [2]. Adding a constant to does not change the dynamical flow. Therefore, without loss of generality, we can assume the relevant symplectic leaf to be given by , such that the dynamical generator is also a constraint.
The Hamiltonian of a time-reparameterization invariant system is therefore a constraint, called the Hamiltonian constraint. In order to emphasize its nature as a constraint, we will slightly change notation and refer to a Hamiltonian constraint as . We refer to symplectic reduction with a Hamiltonian constraint as dynamical symplectic reduction. Associated with this process is the following long-standing problem [3, 4]: Any observable on the reduced phase space can be pulled back to a function on using the projection to the orbit space. By definition, is constant on the orbits, or time independent if is a Hamiltonian constraint. In the reduced phase space, therefore, there is no recognizable time evolution in a time-reparameterization invariant theory.
Classically, the problem of identifying time evolution in a time-reparameterization invariant system is usually solved by fixing the gauge flow generated by a Hamiltonian constraint. This construction to determine observables and their evolution does not use the reduced phase space. Given a symplectic manifold and a Hamiltonian constraint , a gauge fixing of the gauge flow is accomplished by a global incisive section.
Definition 1
A section of the gauge flow generated by a constraint on is a symplectic manifold (called the gauge-fixed phase space) together with an embedding such that .
A section of the gauge flow generated by a constraint on is global if for every there is an such that for some .
A section of the gauge flow generated by a constraint on is incisive if, for all , for some implies .
The pull-back maps functions on the constraint surface to gauge-fixed observables on .
Proposition 1
If is a global incisive section of the gauge flow of on , the gauge-fixed phase space is symplectomorphic to the reduced phase space .
Proof: Since a global incisive section intersects each gauge orbit exactly once, there is a bijection between and the reduced phase space. The symplectomorphism property can then be shown in local coordinates: Locally, can be used as a coordinate in a neighborhood around a given point . We use the gauge flow to introduce a second coordinate such that and . The two functions and are canonically conjugate: . By Darboux’ theorem, there are additional local coordinates and , such that
[TABLE]
Since and , and together with define a local coordinate system on .
On , is a presymplectic form. Local intervals of gauge orbits of are the coordinate lines of . Therefore, and are local coordinates on the reduced phase space, with symplectic form . In order for to be symplectic, any section of the gauge flow must locally be of the form with a canonical transformation and a smooth function . Therefore, .
An incisive section evolves in if there is a 1-parameter family of incisive sections , , such that for some , and is a diffeomorphism to an open submanifold . For each value of the hypersurface plays the role of a surface of a fixed value of time. With this structure in place, any function can be viewed as evolving in time along any given gauge orbit by tracing it along the intersection between the orbit and the constant-time surfaces.
[TABLE]
where is the gauge orbit passing through some .
This time evolution takes place on the pre-symplectic manifold which is not the usual setting for describing a dynamical physical system. Moreover, it is not a good starting point for standard quantization as functions on do not have a well-defined Poisson bracket due to the degeneracy of . However, an evolving incisive section defines a family of functions in , namely those that are constant along the curves traced by points in from one section to the next for a fixed . This family of functions can be arbitrarily extended to the entirety of :
Definition 2
A subset is fashionable with respect to an evolving incisive section if for all the map is a bijection and for all .
Given a choice of fashionables, each function on the symplectic manifold corresponds to an evolving observable on and conversely, the set of evolving observables inherits a Poisson bracket from the symplectic structure on .
This notion of evolution has no known analog in the reduced phase space. In practice it is usually implemented through deparameterization [5, 6, 7, 8, 9], provided the constraint surface admits a factorization of the form with a global coordinate such that . Then the map defines a family of global incisive sections. Evolution defined by this family of sections and , the -independent functions on , is called global relational evolution with respect to .
Example: Let with
[TABLE]
and a constraint linear in . The constraint surface here consists of points with coordinates , so that serve as coordinates on . The choice then leads to global incisive deparameterized sections via . Since for under this family of embeddings , the corresponding fashionables consist precisely of the functions that do not depend on . Since the Hamiltonian vector field of generates translations in and hence shifts from to , the set of fashionables correspond to the Poisson commutant of pulled back to . Relational evolution with respect to is identical with Hamiltonian evolution in generated by : The gauge flow on maps a function to . In an infinitesimal version, is given by
[TABLE]
Specifically,
[TABLE]
This pulls back to as
[TABLE]
For a function on , we have
[TABLE]
computed precisely according to Hamilton’s equations on .
The quantization of a reduced phase space exists in the sense of deformation quantization [10, 11] à la Fedosov or Kontsevich [12]. On the other hand, dynamical symplectic reduction is usually quantized only for deparameterized systems as in the immediately preceding example, using a standard Hilbert-space quantization of on which the reduced Hamiltonian is represented as an operator. In such examples, quantum evolution exists and is unitary, but there are long-standing problems when one tries to extend this notion to more complicated constrained systems in which no global analog of exists [3, 4]. For instance, given a constraint quadratic in on the same phase space as in the example, may become zero along a gauge orbit such that no longer defines a gauge section.
Heuristically, if there is no global analog of , evolution cannot be represented by a family of unitary operators on a Hilbert space. Based on this observation, we diagnose the main problem of standard approaches of deparameterization as an over-reliance on Hilbert-space representations. In order to solve this problem, we initiate a theory of algebraic sections as an algebraic quantization of classical gauge sections in systems with a single constraint. By generalizing crucial steps of deparameterization and keeping them strictly at the level of algebras of observables, utilizing factor spaces of algebras instead of kernels of constraint operators acting on a Hilbert space, we define a quantum version of Proposition 1 and derive several necessary conditions that must be met by the constrained system in order for it to be dynamically reducible. While it remains difficult to find sufficient conditions for such a result, the usefulness of our necessary conditions is demonstrated by their restrictive nature in a specific example relevant to cosmology provided at the end of this paper.
After setting the stage in Section 2, in Section 3 we define algebraic qantization of dynamical symplectic reduction and prove several properties of the resulting quantum evolution on an algebra of observables. For deparameterizable systems, which can be quantized by well-established means as representations on a fixed Hilbert space, our algebraic results provide a more general treatment because they apply to all possible choices of the Hilbert space. Moreover, our construction applies to non-deparameterizable systems, even though the results in that case are less specific than for deparameterizable systems. Several results and examples in Section 4 will demonstrate the non-trivial nature of our constructions.
2 Preliminary constructions
To set the stage, we introduce in this section more details of the systems of interest, standard procedures to quantize them as well as their limitations, and basic algebraic ingredients to be used in our main results.
2.1 Systems of interest
Quantum cosmology presents several versions of singly constrained systems, resulting from the generally covariant theory of general relativity from which their classical analogs are derived. Since space appears to be homogeneous and isotropic over long distances, one can approximately describe the expansion of the universe by a single time-dependent function, the scale factor , subject to a single constraint. The latter is derived from the Friedmann equation
[TABLE]
with the matter energy density (written in units such that Newton’s constant and the speed of light equal one). In canonical form, a multiple of the expansion rate is canonically conjugate to the volume ,
[TABLE]
such that . The canonical Friedmann equation,
[TABLE]
can be written as a constraint equation which equates the matter energy with a polynomial function of the volume and the expansion rate. For non-relativistic matter (dominant at late times in the universe), the energy density changes only by dilution in the expanding universe, such that , or constant. The resulting constraint
[TABLE]
polynomial in and and linear in , is a prototype of a large set of models that have been studied to understand quantum evolution in covariant systems.
The dependence of on and varies according to the cosmological model of interest. Moreover, there are additional anisotropy degrees of freedom if one drops the assumption of spatial isotropy. Many models of this type are known to have chaotic dynamics [13], such that there is usually no practical access to the reduced phase space . Another set of models is motivated by modified gravity, for instance the application of a variety of quantization procedures, which may replace the Heisenberg algebra generated by and by a different Lie algebra. Examples of this type have been produced by models of loop quantum cosmology [14, 15], many of which can be formulated based on the Lie algebra instead of the Heisenberg algebra generated by and [16, 17, 18, 19, 20].
(If there are constraints in addition to , which however do not contribute to the dynamical flow, one can combine standard symplectic reduction with dynamical symplectic reduction. For instance, in some cosmological models, the single variable could be replaced by a pair with momenta , subject to rotational symmetry in the plane. A phase-space formulation would then introduce a non-dynamical constraint given by angular momentum in the plane. If the dynamical constraint extended to the pair is rotationally symmetric, it has vanishing Poisson bracket with the non-dynamical constraint, , at least on the constraint surface of . In this example, and in many others of interest to gravity and cosmology, the Hamiltonian constraint is accompanied by finitely many additional constraints. In such cases standard symplectic reduction of can easily be combined with dynamical symplectic reduction of , also at the quantum level. A further generalization to field theories would be required if one were to include perturbations around isotropic cosmological models in order to describe inhomogeneous matter fields on an expanding space-time background. Because time coordinates can be changed locally in general relativity, there would then be not only an infinite number of degrees of freedom, but also an infinite number of dynamical constraints, one per point in space. Although such systems are certainly important for modern cosmology, investigations of deparameterization in this context have remained in their infancy. In particular, there seems to be no consensus so far on the physical properties that should be required of deparameterization in the presence of multiple dynamical constraints. In what follows, we will therefore consider only the case of a single dynamical constraint.)
In order to introduce evolution in the constrained picture, it is common to consider the constant as the momentum of a canonical variable on which the constraint does not depend. The constraint can then be quantized on the kinematical Hilbert space whose first factor is the Schrödinger representation of the Heisenberg algebra generated by and , such that , while is a unitary representation of the algebra generated by the original canonical variables, such as the Heisenberg algebra generated by and .
If does not depend on , as in (1), the standard procedure of deparameterization, first suggested by Dirac [5] and applied to quantum cosmology starting with [21], can be used to quantize the dynamically constrained system: The constraint is represented as an operator on such that
[TABLE]
where is a self-adjoint representation of the -dependent contribution to on . Zero eigenvectors of are therefore given by
[TABLE]
with arbitrary as an “initial state” with respect to evolution in . Because is unitary, is not normalizable in , such that zero is in the continuous part of the spectrum of .
In order to introduce a Hilbert-space structure on the solutions , we again make use of the unitarity of and define a new inner product on the solution space by recycling the inner product on : The physical inner product
[TABLE]
turns the solution space into the physical Hilbert space (which is not a subspace of ). Unitarity of implies that the inner product does not depend on the choice of an initial -time:
[TABLE]
Moreover, any operator that commutes with , called a Dirac observable, has a unique representation on However, it is usually hard to compute Dirac observables or to show the existence of a large-enough set, and they do not evolve because, by definition, they commute with .
In order to introduce an evolution picture on , one often represents any operator by fixing an initial time, such that the action of on can be used. However, this representation is not natural because choosing a different initial time , such that is replaced by , leads to a different (but unitarily equivalent) representation unless commutes with . With this construction, evolution is realized by the -dependent expectation values
[TABLE]
The compution of Dirac observables can therefore be avoided if one accepts the dependence of representations on the choice of an initial time.
However, the applicability of these constructions is limited because they rely on time-independent constraints which do not depend on the variable canonically conjugate to . Generic matter models in quantum cosmology and other fields require such a dependence. For instance, in order to determine evolution with respect to different choices of time coordinates, one would have to interpret the gauge flows generated by with some , rather than itself, and may well depend on in cases of interest. Moreover, relativistic matter systems imply an energy density quadratic in rather than linear, a prominent example given by a homogeneous scalar field (such as the inflaton often assumed in early-universe cosmology) with energy density
[TABLE]
where the function is the scalar potential. The resulting constraint,
[TABLE]
is still polynomial in and but quadratic in . If is constant, one can often “take a square root” and replace the constraint for a scalar energy density with a constraint linear in by factorization,
[TABLE]
followed by selecting one of the two parentheses as a “linearized” constraint. To the new, linear constraint one can then apply deparameterization as sketched above [6]. However, constant is not generic within the set of physically motivated models, and for non-constant any factorization is non-trivial because .
Here, we propose an alternative way of reducing a quantum system with a Hamiltonian constraint to a dynamical system, that solves most of these problems and also reveals the non-trivial nature of introducing a well-defined evolution picture. We completely avoid the construction of a physical Hilbert space distinct from the original, kinematical Hilbert space . (Nevertheless, we will show that, if desired, a physical Hilbert space can be derived from a subset of our ingredients using the Gelfand-Naimark-Segal construction.) This feature brings our constructions closer to a relativistic setting which seems violated in the construction described above in which time is an operator represented only on , while all other observables are represented on . Our approach is based on an algebraic notion of quantum states.
2.2 Algebraic states
The set of observables of a quantum system is given by the -invariant elements of a complex, unital -algebra . In this paper, we assume that is associative. (This assumption rules out some physical systems, such as magnetic monopole densities [22, 23], which however are usually considered exotic.) Our main examples will be enveloping algebras of Lie algebras, which we assume to be represented on a kinematical Hilbert space as unbounded operators. These algebras carry a useful topology, introduced as the -topology in [24].
Physical states of the quantum system defined by are normalized positive linear functionals , such that and
[TABLE]
According to Theorem 1 in [24], such functionals are continuous in the -topology of . The condition that is real for all implies that a physical state is real — . In addition, the stronger inequality condition leads to the Cauchy–Schwarz inequality
[TABLE]
see for instance [25].
As we will see, intermediate stages of quantum symplectic reduction require a weaker notion of states which are not completely positive. We begin with
Definition 3
The set of kinematical states on a unital -algebra is the set of continuous normalized linear functionals , such that .
Given the normalization condition, is not a vector space, but it is closed with respect to normalized sums: for any integer , states and complex numbers , if .
Definition 4
A dynamical flow on is a one-parameter family of derivations , where , which is compatible with the -structure on — for all — and such that is continuously differentiable with respect to for all .
Given a dynamical flow on , the time evolution of a kinematical state is a map such that is a kinematical state and
[TABLE]
for all , with initial conditions for some .
In order to make sure that a state has a unique time evolution (or a unique gauge flow in what follows), we will assume that, for all algebras we consider, a differential equation of the form (3) has a unique solution with the specified initial condition. Standard results do not necessarily apply because our differential equations, though linear, are, in general, formulated on an infinite-dimensional space and may have time-dependent coefficients. (Although we will not pursue a formal proof of existence and uniqueness of solutions, we note that time evolution in systems of interest in physics is usually obtained as a unique Dyson series on a Hilbert space; see for instance [26].)
Lemma 1
If is a kinematical state, its time evolution with respect to , , returns a kinematical state for any .
Proof: By definition, a derivation satisfies
[TABLE]
for all . Choosing , we have for all . It follows that , whence for all . Therefore, for all .
Lemma 2
If is positive, its time evolution is positive.
Proof: To prove that continues to hold along the flow, it is sufficient to show that (i) is real for all and (ii) is non-negative whenever .
To prove (i), for each define a function of via on , so that is real iff . Suppose all of the functions for some , then is real for all , which implies , and we get
[TABLE]
which means that at . Since is positive, we have the initial conditions for all . We see that satisfies the first-order ordinary differential equation system induced by the dynamical flow and matches the given set of initial conditions. As previously discussed, here we assume such solutions to the dynamical flow to be unique. Therefore is real for all .
To prove (ii) we use the above result and assume that the inequality holds at .
[TABLE]
Since , , and the expression on the right is zero if .
2.3 Constrained quantization
Our results in Sections 3 and 4 apply to a specific type of constrained systems relevant for quantizations of dynamical symplectic reduction.
Definition 5
A singly constrained quantum system is a complex, unital -algebra together with a constraint such that
, 2. 2.
* does not have a left-inverse in , and* 3. 3.
* is not a divisor of zero.*
Remark: If is a right divisor of zero, then by property 1 it is also a left divisor of zero and vice versa, in which case there is an such that . Using a representation of on the kinematical Hilbert space, any vector in the image of is then a zero eigenvector of in the discrete spectrum, and one can simply solve the constraint by restriction to the zero eigenspace. Here we are primarily concerned with the more complicated case of zero in the continuous part of the spectrum of , which is also most relevant for dynamical symplectic reduction of examples discussed in Section 2.1.
Definition 6
The algebra of Dirac observables of a singly constrained quantum system is the commutant of in :
[TABLE]
The space of physical states of a singly constrained quantum system is given by the space of normalizaed positive linear functionals on .
Lemma 3
* is a unital -subalgebra of .*
Proof: Defined as the commutant of , is a subalgebra. Since and if , using , it is a unital -subalgebra.
Definition 7
A kinematical state is a solution of the constraint if for all . The constraint surface is the subset of all solutions of , closed with respect to normalized sums.
Remark: Since we have assumed that is without left-inverse in , is a strict subalgebra without unit. The condition is therefore consistent with normalization of kinematical states. If zero is in the continuous spectrum, no normalized positive states exist in . In such a case it is common to drop the normalization condition and work with distributions instead of state vectors in a Hilbert space. Here, we instead retain the normalizability condition and relax positivity. Our results (such as Corollary 2 in Section 3.3) imply the existence of kinematical states in for singly constrained systems.
The constraint in a singly constrained quantum system induces a gauge flow:
Definition 8
Two kinematical states are -equivalent, , if there exist a positive integer together with and , such that
[TABLE]
where for and , the flow is defined by and
[TABLE]
Since is a derivation, is well-defined by Lemma 1. By analogy with classical reduction, we refer to flows generated by elements of as gauge. In the classical case, the constraint and the function , where is any phase-space function not equal to zero on the constraint surface, generate the same gauge flow on the constraint surface: For , the flow equations
[TABLE]
can be mapped to the flow equations generated by by rescaling the gauge parameter such that . (For this reparameterization of the flow, the phase-space function is considered to be a function of on the space of solutions of the flow equations. The sign “” in the preceding equations refers to equality on the constraint surface, as usual in the theory of constrained systems following Dirac.) In singly constrained quantum systems, by contrast, the gauge flows generated by and with some are inequivalent: For , we have
[TABLE]
in general.
Remark: If zero is in the discrete spectrum of represented on the kinematical Hilbert space, the behavior of flows is rather different. Any quantum flow generated by is then equivalent to the flow generated by when restricted to constrained pure states, given by vectors in the Hilbert space such that : on these states, such that
[TABLE]
for any . The full gauge flow may nevertheless be non-trivial on general algebraic states of Definition 3.
Lemma 4
The constraint surface is preserved by the flow induced by any algebra element .
Proof: For any fixed and , following the same argument as in Lemma 2, define functions on , for . Suppose all for some , then
[TABLE]
for all . Moreover, we have initial conditions for all . It follows that is the solution to the flow induced by any algebra element of the form that satisfies our initial conditions. Therefore, for all , and .
Any two -equivalent states on are indistinguishble by their evaluation in Dirac observables:
Lemma 5
For any , if , then for any .
Proof: The two states and are related by a succession of gauge flows . By Lemma 4, each of these flows preservers . Therefore, for any and ,
[TABLE]
since . Therefore, is constant along any gauge flow .
Equivalence classes therefore define states on .
Corollary 1
The space of physical states is the convex subset of containing all with positive on .
The computation of a complete is usually very complicated in interesting models. Moreover, a sufficiently large containing observables that can describe all measurements of interest may not exist, in particular in chaotic systems [30, 31]. The result of Corollary 1 partially avoids a direct reference to by formulating the space of physical states through an equivalence relation on the constrained states. However, one still needs access to in order to implement the positivity condition. This reference to cannot be avoided because it is generally impossible to extend positivity to all of for any : for any and a positive , we have and . However for we must have
[TABLE]
which, given the reality conditions, can be satisfied only if . If possesses a canonical conjugate such that (as we will shortly demand for a “clock”), then for any normalized state , so that no solution of the constraint is positive on all of . Moreover, as in the classical case, there is no evolution for physical states in a dynamically constrained system, since the adjoint action of the constraint has been factored out.
In Section 3 we will solve both problems — formulating positivity conditions without reference to and obtaining a consistent evolution picture — by introducing a new notion of gauge sections. Our approach is motivated by the algebraic analogue of deparameterization discussed in Section 2.1. In an unconstrained quantum system the dynamical flow is usually driven by some self-adjoint Hamiltonian via
[TABLE]
where the derivation clearly satisfies Definition 4. The above evolution of states can be formulated as a pure adjoint action of a constraint by extending the kinematical algebra by two new generators, “time” and “energy” , such that and for all in . On this extended algebra , the constraint generates a gauge flow
[TABLE]
resembling the original dynamical flow on for any polynomial in . Explicit time dependence of in the Hamiltonian case corresponds to -dependence of in the constrained case. This process is called parameterization of the dynamical flow: physical time has been replaced by an arbitrary flow parameter .
One can follow this process in reverse: starting with the degrees of freedom described by the extended algebra and given a Hamiltonian constraint one could attempt to deparameterize the system, reducing it to a an unconstrained dynamical system on a subalgebra . In the above parameterized theory, the gauge flow (6) is equivalent to the dynamical flow (5) if can be “demoted to a real number” . The deparameterization process of passing from back to the smaller algebra can therefore be interpreted as finding the states on for which “the value of is fixed” to equal . For a general Hamiltonian constraint, this process requires finding a suitable clock : its values will keep track of time, and an associated algebra (the fashionables of Definition 2) will play the role of the smaller “unextended” algebra of evolving degrees of freedom.
2.4 Quantum clocks
Any kinematical observable can formally serve as a quantum reference system. In Section 3 we will use such reference systems to track translations in time, where will serve as a “clock.” (Reference systems can be used to track spatial translations as well [32, 33, 34, 35].) Following Lemma 3 the commutant is a unital -subalgebra of . Furthermore, it is straightforward to verify that for any the set is a two-sided -ideal of . It follows that the quotient is unital and inherits a -structure under the canonical projection . In order to be useful for keeping track of time, such a quantum reference system needs some additional structure.
Definition 9
A quantum clock is a reference observable together with a compatible fashionable algebra: a unital -subalgebra , such that for all , we have and .
Remark: Keeping with the commonsense physics usage, the term “clock” will also be used to refer to the reference observable itself, where it will be assumed that possesses a compatible fashionable algebra.
The two conditions on guarantee that restricted to is a -algebra isomorphism. The algebra of fashionables is therefore a realization of a family of quotient algebras as a single subalgebra of (and hence of ). We denote the -isomorphism , where for any ,
[TABLE]
yields a single element of . This isomorphism inverts when the latter is restricted to , so that . As a direct consequence, we note
Lemma 6
For every , .
Additionally, for each value of we have a projection from to its subalgebra via the composition of -homomorphisms .
Each quotient algebra possesses a natural relational interpretation:
Definition 10
For any kinematical observable that commutes with a clock , the relational observable for when the value of is is the image of under the canonical projection, .
It is straightforward to check that under the inherited -operation.
Remark: Time read by a reference clock behaves differently from the time of ordinary quantum mechanics where it is an external parameter. In the latter case any observable can be evaluated at a fixed time, in the former case this can only be done for observables that commute with the clock.
We will use the notation to denote normalized states on . For each , canonical projection defines a “surface of constant time” within , which will be used in Section 3.1 to fix the gauge flow of a quantum Hamiltonian constraint.
Definition 11
For any the surface of constant time of a clock is
[TABLE]
Each state on this surface is a pull-back of a state on the quotient algebra . The states belonging to such a surface that are positive on can be interpreted as assigning a value to each “when clock shows time ”. Not every positive state on the algebra has a relational interpretation since this would require for any for some . A sequence of relational states provides a notion of evolution over time in clock .
Definition 12
A one-parameter family of states for is a time evolution of relative to if for some , and if for each is positive on and .
While any positive state on a quotient does have a relational interpretation, these quotients give distinct algebras for different values of . So a time evolution in corresponds to a sequence of states on different disconnected algebras. The fashionable algebra is needed precisely to “sew together” constant time degrees of freedom at different values of the clock and to define clock-value-dependent states that can be freely specified over a fixed algebra . We define a one-parameter family of invertible linear maps with the forward map given simply by restriction, for
[TABLE]
We define its inverse using (7), for
[TABLE]
Clearly, because it involves , the resultant state . It is also not difficult to verify that and invert each other on their domains of definition. The fashionable algebra gives us the structure necessary to define time translation of a state from to : and represent the same unevolved state at two different times and if for all , that is, if and for some .
A time evolution maps to a one-parameter family of positive states on the fashionable algebra via . Conversely, any one-parameter family of positive states maps to a time evolution with respect to via . The maps and preserve positivity of states, because the underlying algebra maps that they utilize, , , and are all -homomorphisms. This can be stated somewhat more broadly.
Lemma 7
If for some and is positive on , then is positive on the whole of .
Proof: Since , we have for all . According to Lemma 6, for any there are and such that . Thus
[TABLE]
In what follows we use a clock as the basis for a new method of deparameterization by (i) using the commutant as a go-between of the kinematical algebra and the algebra of observables, , (ii) fixing gauge degrees of freedom using constant time surfaces , and (iii) demoting the clock observable to a real-valued time parameter . The constant-time surfaces are analogous to fixing an initial -time in standard deparameterization discussed in Section 2.1, but they are introduced in a subalgebra of and do not require the transition to an unrelated space such as . Moreover, Dirac observables will be replaced by the more accessible fashionables . (Since their definition depends on the choice of time , and not just on the constraint , they are “in fashion” only as long as is used as time. This need to introduce fashionables has first been identified in semiclassical calculations [27, 28, 29].)
3 Quantum dynamical reduction: Linear case
In this section, we assume that the constraint is of a form such that for some . This case is close to standard deparameterization, as shown by (6). (As we will discuss in more detail in Section 4, a constraint should, in general, be factorized in order to make it deparameterizable, in the sense that with suitable , .)
Definition 13
A quantum constraint is deparameterized by the clock if and the commutant of has the following properties:
; 2. 2.
; 3. 3.
the set algebraically generates .
The main result of this section is that deparameterization of a constraint by a clock is a realization of the constrained quantization of as an unconstrained quantum mechanical system with degrees of freedom given by the fashionable algebra evolving in time. The consistency of this construction is shown by
Proposition 2
If is deparameterized by , then there is a bijection between the constraint surface and the space of states on , such that:
All gauge flows mapped to by are transversal to the constant time surfaces , . 2. 2.
The flow generated by itself is mapped to a dynamical flow on . 3. 3.
Each positive state on specifies a positive physical state .
Existence of follows immediately from conditions 1 and 2 of Definition 13. Since , any linear functional on is completely defined by its restrictions to and . Since these two restrictions can be specified independently. Any state in vanishes on and defines a state on by restriction to . Conversely any state on can be uniquely extended to the entirety of by setting the extension to vanish on (see equations (11) and (12) below). Deparameterization provides sections of the quantum gauge flow (Definition 8) through constant-time surfaces . Transversality of these sections, defined and proven in Section 3.1, is the local quantum analog of incisiveness of a classical gauge section of Definition 1. Potential issues arising from the weaker local nature of transversality are discussed in Section 3.5. We prove properties 2 and 3 of the proposition in Sections 3.2 and 3.3, respectively, and provide an explicit example of a deparameterizable constraint in Section 3.4.
Remark: As shown in our discussion of cosmological models, condition 3 of Definition 13 is satisfied by the algebras of many physical examples of interest where and kinematical observables are polynomial in an “energy” . This property is only used in Section 3.1 specifically to ensure that all gauge flow generators can be projected to using finite power series. In other situations it may be possible to replace this condition with sufficiently strong assumptions on the topology of .
3.1 Proof of transversality
Let a quantum constraint be deparameterized by a clock . In this subsection we prove that all of the flows generated by constraint elements can be mapped to , and are separated by the constant-time surfaces of . According to Definition 11, a constant-time surface in contains precisely those states on that vanish on . A non-vanishing gauge flow that preserves the values assigned by states to is therefore tangent to and hence remains unresolved by fixing the value of the clock. By contrast, a flow that is separated by the either pierces the surface or vanishes at each of its points. The corresponding geometrical picture suggests a notion of transversality.
Definition 14
A one-parameter family of states is transversal to a constant time surface if for all such that either or there is some such that . 2. 2.
A flow on is transversal to if every one-parameter family of states generated by it is transversal to .
To map gauge flows onto , let us first explicitly define the bijection between and . Taken together, the two conditions of deparameterization and imply that every can be written as
[TABLE]
where is unique and is unique up to adding terms that are annihilated by multiplied on their right because is not a divisor of zero in a single constrained system. We define the forward map by restriction: for any and
[TABLE]
We use decomposition (10) to define the inverse map: for any and , we have , and define
[TABLE]
Since for any by condition 2 of Definition 13, clearly . A flow is mapped from to by mapping the one-parameter families of states it generates: ).
We can further iterate relation (10) expressing as a sum of elements from and to get a second-order expression with and , and so on. In fact, since by condition 3 of Definition 13 the set algebraically generates , every can be written as a finite-order polynomial in
[TABLE]
with and .
Further, the adjoint action of preserves the commutant of , since for any
[TABLE]
since according to Definition 13, and ; therefore .
Lemma 8
For a constraint deparameterized by a clock , every gauge flow mapped to from is determined by the derivation on .
Proof: First, we note that for
[TABLE]
Iterating by replacing with , we get for any integer ,
[TABLE]
We have combined the terms proportional to using
[TABLE]
They all vanish when evaluated on states in . Using the above result and writing as a polynomial in as in equation (13), we have
[TABLE]
for some and . For any state , we have , and hence the flows induced by constraint elements satisfy
[TABLE]
For we also have , and the above expression can be computed entirely through the states’ restriction to , and the action of on . Hence, for
[TABLE]
For the flow generated on by itself, and for in (15). For equation (16) implies that along the flow, for any . Therefore this particular flow is transversal to all constant time surfaces . In fact, the property
[TABLE]
is sufficient to ensure that all gauge flows mapped to are transversal to constant time surfaces. To show this, we first establish a useful result that holds for any that commutes with all elements of , and a pair of non-negative integers :
[TABLE]
Therefore, for , and for any
[TABLE]
Lemma 9
If is deparameterized by , the flow of every mapped to is transversal to every constant time surface of .
Proof: Using (13) we write
[TABLE]
with . Suppose this flow is not transversal to for some . Then, according to Definition 14, there is a one-parameter family of states generated by according to equation (16) with for some , such that the flow of does not vanish at , and for any using (16),
[TABLE]
where the Kronecker delta comes directly from (18). This implies that for all . Iterating the argument, (16) also implies
[TABLE]
By (19), the second term in the final expression is zero for any , giving
[TABLE]
which implies for all . Continuing in this way, we establish that for all . Therefore the flow must completely vanish at since
[TABLE]
proving our claim by contradiction.
3.2 Deparameterized time evolution
In this subsection we prove that for a constraint that is deparameterized by , the adjoint action of projects to a dynamical flow on the fashionable algebra . Later on, in Section 3.3 we will link deparameterized dynamics to the physical states and the Dirac observables of the constrained system.
Let denote the flow induced on by the adjoint action of on , which by Lemma 4 preserves the constraint surface . Using the map defined in (11) and (12) we can transfer this flow from to a flow on via . Explicitly, for any . Using this relation, for any and any
[TABLE]
where we implicitly use the fact that , which follows from equation (14). Therefore, is generated simply by the adjoint action of on the subalgebra . Referring back to Definition 12 from Section 2.4 we have the following result.
Lemma 10
Let be deparameterized by , then the flow generates time evolution of states relative to on .
Proof: Since is a –compatible derivation on , it is -compatible also on . All that needs to be shown is that the gauge flow maps states from to .
For convenience let us denote the one-parameter family of states , where for some fixed . Following the method of Lemma 2, for each we define a function that varies along the flow . The state belongs to if and only if for all . Suppose all of the functions for some . We can compute their derivatives along the flow using equation (20):
[TABLE]
The last equality follows since . Furthermore, by our initial conditions for all since . It follows that is the solution to the flow given by equation (20) with . Thus at any point along the flow
[TABLE]
Therefore , as required.
Remark: The above lemma does not guarantee that for an arbitrary the family is a time evolution relative to ; we also need for some .
As discussed in Section 2.4, time evolution of states relative to maps to a one-parameter family of states on the fashionable algebra , by restriction of to : we have for all . Furthermore, at each value of the clock the adjoint action of can be projected from to using the map of equation (7)
[TABLE]
which is a -compatible derivation on thanks to the fact that and are -homomorphisms. is therefore a dynamical flow on according to Definition 4.
Lemma 11
Let for some and , then the image , where is defined in (8) is generated by the dynamical flow . That is
[TABLE]
Proof: By Lemma 10, for all . Using equation (20), for any
[TABLE]
Since for any , we also have
[TABLE]
Because , it assigns the same value to all elements that belong to a given coset generated by the ideal . By definition in equation (21), for any value of , and are in the same coset relative to the ideal . Hence , from which (22) follows.
As demanded by property 2 of Proposition 2, the gauge flow of deparameterized by projects to a dynamical flow on the unconstrained system defined by the fashionable algebra . The unconstrained dynamics on can then be analyzed by the methods of conventional quantum mechanics.
3.3 Positivity
For many applications it is also important to be able to reverse this process, linking positive states on a fashionable algebra at a given value of the clock with kinematical solutions to the constraint in and ultimately with physical states in . Combining Definition 13 and Lemma 6, deparameterization is accomplished by finding a clock such that , and by splitting the kinematical algebra into subalgebras that share only the null element,
[TABLE]
where is a –subalgebra of isomorphic to at each .
Specifically, given a positive state on and a value of the clock , the corresponding relational state is , which by Lemma 7 is positive on . The corresponding solution of the constraint on is , which for any yields
[TABLE]
because . This, in turn, implies that
[TABLE]
We find that this relation extends beyond to the whole of : Given any , and any state , that satisfies for all , there are and such that
[TABLE]
The following definition is therefore meaningful:
Definition 15
A state is almost-positive with respect to a deparameterization of by if
it annihilates the left ideal generated by : for all ; 2. 2.
it is positive on the commutant of : for all ; 3. 3.
it parameterizes left multiplication by : for all , .
The first condition ensures that solves the constraint. The second condition ensures that restricts to some positive state on , and hence also on . The third condition ensures that this restriction belongs to the constant clock surface . In other words,
Corollary 2
Every positive state on has a unique extension to an almost-positive state , for any given value of the clock . Conversely, every almost positive state restricts to a positive relational state on and hence a positive state on at time .
Remark: One way to interpret the last condition in Definition 15 is to notice that it requires fluctuations of to vanish. For example, we have . Just like a time parameter in ordinary quantum mechanics, is sharply defined in such a state, but it does not correspond to an evolving observable since is not an element of . As already noted in Section 2.4, the combination of almost-positivity and conditions required for deparameterization prevent from being positive on the whole of . The new notion of an almost-positive state, introduced here, may therefore be considered a maximal implementation of positivity in an internal-time setting, in which evolution is defined with respect to an algebra element. According to Lemma 7, positivity of states can be extended from observables (realized here by ) to time (), but not to the full algebra .
According to Lemma 10, the gauge flow generated by and mapped to drags states from the subspace to the subspace of gauge-fixed states.
Lemma 12
The gauge flow on drags an almost-positive state to another almost-positive state , such that .
Proof: Lemma 4 guarantees that the flow remains on . Since the adjoint action of is a -compatible derivation on , according to Lemma 2 the corresponding flow maps states that are positive on to other states that are positive on . For any almost-positive , along the flow we have
[TABLE]
Therefore, .
To prove that parameterization of is preserved along the flow, we follow the method of Lemma 2 and define a function for each . Condition 3 of Definition 15 holds for if and only if for all . Suppose all of the functions for some . Taking an arbitrary
[TABLE]
Consequently, at for all . Since for all , it follows that is the solution to the flow generated by . Hence remains true everywhere along the flow.
Since is not available in general, there is no full quantum analog of Proposition 1. But any available Dirac observable is a valid observable with respect to any almost-positive state:
Lemma 13
If , for any almost-positive functional with respect to a deparameterization of by some .
Proof: Since is also an element of , the decomposition induced according to Definition 13 by deparameterization implies that we can write it as for some and . The fact that is in the commutant of implies . The second term on the left-hand side is in , while equation (14) implies that the first term is in . Since the two subalgebras are linearly independent, the two terms must vanish separately, implying that . Because is not a divisor of zero in a single constrained system, for we have that implies , and therefore . These results also imply that and commute with . Now suppose that is almost-positive with respect to deparameterization of by , then
[TABLE]
because , using .
This completes the proof of Proposition 2.
3.4 Example: Parameterized Particle
Let be the polynomial algebra, generated by complex polynomials in the basic elements , , , with , and (). The generating elements are -invariant, , and , and are subject to commutation relations , and for some . This algebra is an example of an enveloping algebra of a Lie algebra, which we equip with the -topology of [24].
For any -tuple of integers , we define , with . The set of monomials is linearly independent and forms a linear basis on . Let this system be subject to a single constraint of the form
[TABLE]
where is a polynomial with an ordering such that and therefore .
Consider the clock , where is the algebra generated by all complex polynomials in just the elements , and is therefore spanned by the linear basis of monomials . is given, and, since commutes with itself and generators , any element of can be written as a linear combination of monomials of the form . The relational observables of this clock are given by the projection for any , interpreted as “ when .” Here , and it is easy to see that no non-zero elements of are polynomials in generators alone, therefore as required by Definition 9. For a basis monomial of and any
[TABLE]
The last sum lies in the ideal , and, therefore, in the kernel of ; hence,
[TABLE]
Clearly, linearly spans for any , so that . The pair satisfy all requirements for a quantum clock given in Definition 9.
We now confirm that deparameterizes according to Definition 13. We immediately see that as required. Since the expression for any non-zero element of in terms of the basis monomials of includes at least one term of the form with , we infer . By substituting , we can write any element of as a polynomial in , , and . Using the commutation relations, a factor of can be iteratively moved to the right whenever present, so that any can be written as
[TABLE]
for some polynomials and . The first term is in , while the second is in , the two sets therefore linearly generate the whole of . It is also immediately clear here that algebraically generates : iteratively moving every factor of to the right we can write
[TABLE]
According to Proposition 2 the flow generated by gives rise to a dynamical flow on the fashionables. To see this explicitly, we note that any can be written as a polynomial , so that the adjoint action of on is given by
[TABLE]
both terms in the final expression are in . Since , restricting this to we have
[TABLE]
The projection from to here has the explicit form
[TABLE]
so that the commutator of two basis monomials projects as
[TABLE]
It follows that
[TABLE]
Therefore, this deparameterized example reduces the original constrained quantum system to an unconstrained quantum system with degrees of freedom generated by the basis , driven by the time-dependent Hamiltonian .
In this example, contains itself and the identity element . Any element of which is not a linear combination of a power of and is a constant of motion of the (possibly time-dependent) Hamiltonian . For most choices of a classical polynomial , constants of motion which are -independent and fulfill , are generically non-polynomial, if they even exist in closed form [30, 31]. (The system may be non-integrable.) No quantization of such an observable can exist in our , and the available is incomplete. Even if one extends , for instance by using deformation quantization, in most cases of physical interest it is impossible to find a complete set of Dirac observables. Nevertheless, we have shown that it is possible to fix the gauge relative to in any such system and uniquely specify physical states by relational observables, with the only requirement on that and .
3.5 Physical vs. relational states
In Section 2.3 we defined physical states as orbits on of the entire collection of gauge flows generated by , such that they are positive on the Dirac observables . In Section 3.3 we established that relational states associated with a deparameterization of a constraint by a clock are represented on by almost positive states of Definition 15. According to Lemma 13 each almost positive state is in the orbit corresponding to some physical state of the constraint. Furthermore, since time-evolution in is generated by , it is tangential to the gauge orbit so that all almost positive states along a time-evolution correspond to the same physical state. Deparameterization of Definition 13 interprets orbits of physical states (or, more accurately, a single preferred flow along these orbits) as time evolution relative to a physical clock. This relation leaves room for two important concerns.
First, some physical states may not be sampled by the deparameterization relative to a given clock : It may happen that a physical orbit does not contain any state that parameterizes as in the third condition of Definition 15. Stated differently, there is no guarantee that for some . While this concern warrants further investigation, it does not immediately appear to be physically problematic: since a clock is a physical part of the constrained system, the ability to assign simultaneous definite values to the clock and its commutant should in general require special states. At present, we do not claim that every physical state can be captured by deparameterization relative to a given clock.
Second, a given deparameterization may suffer from the analog of Gribov problems in gauge theories if a physical state is sampled by multiple relational states, in other words, if contains more than one state for some . If this happens, each of those states will give rise to a time-evolution relative to , and a single physical state will be associated with multiple inequivalent evolving states on . However only the states that are positive on have a physically useful relational interpretation (see discussion in Section 2.4 and 3.3). Therefore this possibility constitutes an ambiguity of physical relational states only if contains more than one state that is positive on . An indication that such physical ambiguity is avoided by deparameterization comes from the following consideration. One would expect that multiple intersections of two by the orbit would be generated by following a -positivity-preserving gauge flow. From equation (16) (together with (13)), we see that the only gauge flow that, when mapped onto , is generated by a -compatible derivation, and therefore preserves positivity on , is the one generated by itself. For this particular flow we note the following result.
Lemma 14
Let be deparameterized by a clock . Then, each one-parameter family of states in along the constraint flow generated by intersects each constant time surface at most once.
Proof: Along the flow of we have . Therefore, is monotonic in , and any two states and with along this flow assign different values to for any given . It is, therefore, not possible for both states to belong to the same constant time surface .
4 General polynomial constraints
A general constraint element is not immediately of the form required for deparameterization to exist. While the kinematical algebraic structure of most model theories that are of interest to quantum gravity and quantum cosmology possesses clocks that are not constant along the constraint flow, that is, , the condition (or with ) is not usually satisfied. For instance, most Hamiltonian constraints in such systems are quadratic in momenta, resulting in for a clock , as in the scalar example of cosmological models with energy density (2). There are also examples of constraints for which but not a multiple of the unit.
4.1 Linearization and cancellation
In some of these cases, it may be possible to “linearize” the constraint by finding a suitable which satisfies all three criteria of a deparameterization with respect to and has a gauge flow and a constraint surface related to those of : If is such that and as in Definition 13, we have and therefore . Moreover, if . If is invertible in , and , but this case is too restrictive for most practical purposes.
Example: The constraint with -independent can be factorized as with and . We have , but does not have an inverse. However, if and it follows that , in which case it may be of interest to study evolution of the state with respect to . More generally, we define such that
[TABLE]
Since either or also imply , every left solution of is also a left solution of . Therefore both constraint surfaces are contained within the constraint surface . Furthermore, normalized combinations of states from and also give us solutions to . In particular, for any , , and
[TABLE]
is a left solution of , which is normalized provided that .
In this example the two subsets are not disjoint. A solution to both constraint factors must satisfy and for any . These conditions are equivalent to requiring that both and for all , since
[TABLE]
and similarly
[TABLE]
Conversely, and imply and . The only restriction on the values assigned by a kinematical state , in addition to continuity, is normalization . It is therefore possible to satisfy both and for all , unless for some . No such and exist within our polynomial , hence the intersection is non-empty. However if we consider only the states that are positive on , as required by Definition 15, there may be additional restrictions: suppose for some and real . Then, for any normalized state that is positive on
[TABLE]
which means cannot be satisfied. Hence depending on the sets of almost-positive states with respect to internal clock defined by the two constraint factors may be disjoint.
Using the original constraint , the orbits are generated by the subalgebra , as opposed to if we use one of the factors instead. Neither of the two factors has an inverse already contained within (the only element with an explicit inverse in here is ). Thus is a proper subset of , and hence the original orbits of are contained within the larger orbits of . This guarantees, via Lemma 4, that a physical state of the original constraint is either entirely inside or entirely outside of it. However, some gauge flows generated by the factor constraints are not gauge orbits of and can potentially link distinct gauge orbits of the original constraint . Therefore, a physical state with respect to generally corresponds to a region of the space of physical states with respect to the original constraint .
This complication would not arise if had an inverse in . However, even if is non-invertible there are in general some states on which its action can be “reversed” in the following sense.
Definition 16
Left multiplication of can be canceled in if for any , for all implies for all .
This state-by-state condition differs from the algebraic cancellation property. In our concrete example, only the zero element is a divisor of zero in . However, even though implies , left multiplication by cannot be canceled in any of its left solutions . Setting , we get for all , which is not equivalent to for all , since setting would violate normalization.
Definition 17
A constraint is deparameterized by factorization with respect to an internal clock , if there are , such that (i) , (ii) there is at least one state in which left multiplication by can be canceled, and (iii) is deparameterized by .
In our concrete example, if we deparameterize our system using as the constraint, we consider only the states in which the left multiplication of can be canceled. (In particular, this means that .)
Lemma 15
For a constraint that is deparameterized by factorization as , for any of and such that left multiplication by can be canceled in , the value is invariant along all of the gauge flows generated by .
Proof: We first observe that, since , in particular for any . Which means
[TABLE]
Since this holds for any , cancellation of left multiplication by in implies that
[TABLE]
The above property holds along all of the gauge flows generated by . To see this let us fix an arbitrary and, following the method of Lemma 2, define functions for each . Clearly, for all . Suppose all functions for some , then
[TABLE]
where we used the fact that according to Lemma 4. We see that is the solution of the dynamical flow generated by that agrees with our initial conditions. Since was arbitrary, for all and .
Using the above result, the value of along the gauge flow generated by , with arbitrary , varies according to
[TABLE]
Therefore, using gauge flows generated by does not affect the values assigned to the set of Dirac observables of the original constraint , so long as we use states on which left multiplication of the factor can be canceled. In this section’s example, the roles of and can be reversed since the two factors commute.
In principle this construction also applies to a constraint that can be written as a product of non-commuting factors, as one would expect in the case of time-dependent Hamiltonians . However, factorizing such a constraint is much more complicated.
Example: If we factorize a constraint of the form with , we have , but we can try to find such that . Multiplying the two factors, we have
[TABLE]
provided that
[TABLE]
This equation has a formal power-series solution with
[TABLE]
and
[TABLE]
We can split into its -invariant and anti--invariant contributions, and , and define
[TABLE]
As in the example with commuting factors, and but . There are therefore almost-positive states, but the gauge flow of does not induce a -compatible derivation, unless it so happens that .
For a systematic analysis of suitable factorizations, we need to carefully consider the adjointness conditions imposed on the factors of the constraint.
4.2 Adjointness relations
The adjointness relation imposed on constraints guarantees that inherits a -relation, which in turn makes it possible to define physical states as positive linear functionals on . This condition also restricts possible factorization choices that could be applied to linearize constraints. Suppose a constraint can be written as , where can be algebraically canceled within and allows a deparameterization with respect to . Then can be deparameterized with respect to by factorization, using the same method as we applied to to cast a subset of its physical states as dynamical evolution in . Under these conditions, uniformizes the flow generated by : Since , we may consider as the “non-constant rate” of evolution determined by , while evolution with respect to has constant rate.
In order to satisfy we need , which can be rewritten as
[TABLE]
If the non-constant rate is required to be real when evaluated in a positive state , we need . In this case, (23) implies , such that the rate is, in fact, constant on solutions of the constraint because is a constant of motion with respect to . Conversely, if we obtain , and if can be algebraically canceled within , we get . These cases constitute two sufficient conditions for factorization to result in a deparameterization.
Provided that the clock is part of a canonical pair, , as in the example from the previous subsection, the most general form of a factorizable constraint is , where commutes with , and condition (23) holds for . Further properties depend on the -dependence of .
4.2.1 Non-relativistic constraints
Definition 18
A constraint is non-relativistic of rate if there is a canonical generator conjugate to , , such that .
Definition 19
A non-relativistic constraint is of constant flow rate if there is a such that and .
Lemma 16
Every deparameterizable non-relativistic constraint is of constant flow rate.
Proof: Since and imply , we immediately obtain from . Using this in (23), we have .
Remark: The condition of constant flow rate shows the restrictive nature of adjointness conditions: Only constants of motion with respect to are allowed as factors of in non-relativistic constraints. Written as if , the condition amounts to a partial differential equation for as a function of and the remaining canonical variables.
Lemma 17
If a non-relativistic constraint is deparameterizable, it is of the form such that and .
Proof: Since the constraint is non-relativistic, it is linear in and can be written as with and such that . The conditions and imply that , and thus . Since plays the role of the factor , it must be a left factor of : There must exist such that and
[TABLE]
In order for to be deparameterizable, according to Lemma 16, the flow rate must be constant with respect to . Therefore, , which, upon left multiplication with , implies because .
Remark: The condition , obtained from for a deparameterizable constraint, implies
[TABLE]
Therefore, in is not self-adoint unless commutes with .
Remark: If, in spite of Lemma 16, we try to factorize a constraint of non-constant flow rate, we end up with a non-self-adjoint . To see this, consider a non-relativistic constraint of the form with and invertible , we can write
[TABLE]
Defining ,
[TABLE]
and
[TABLE]
we can write with . It follows that , and since and for a non-relativistic constraint. However,
[TABLE]
and therefore . For , we have . If is almost-positive, this equation is consistent even though while : because , an almost-positive state may take on a real value in a non-self-adjoint . However, the gauge flow of does not induce a -preserving derivation on any fashionable algebra because, in general, for unless and are multiples of the unit.
4.2.2 Relativistic constraints
Definition 20
A constraint is relativistic if there is a canonical generator conjugate to , , such that .
A relativistic constraint that is deparameterizable by factorization has the form
[TABLE]
where , and . Using and , we have
[TABLE]
which quickly yields . The flow rate of with respect to is given by , such that . In contrast to linear or relativistic constraints, the flow rate depends on .
Lemma 18
If a relativistic constraint that is deparameterizable by factorization is of constant real flow rate , it is of the form with and such that
[TABLE]
[TABLE]
and
[TABLE]
Proof: For real flow rate, implies and therefore (24). Constant flow rate, , results in
[TABLE]
Taking a commutator with on both sides, only the term proportional to survives giving us (25). Substituting this back into (27) results in (26).
The three conditions of Lemma 18 together are sufficient to make the quadratic constraint deparameterizable by factorization.
Lemma 19
A relativistic constraint with real constant flow rate is of the form such that and as well as and .
Proof: A relativistic constraint with flow rate , using in terms Lemma 18, can be written as , where . Using the notation of Lemma 18,
[TABLE]
We have because from equation (24). Equation (25) is trivially satisfied, while (26) becomes
[TABLE]
We rewrite
[TABLE]
setting and . Using (28) and (29), we compute
[TABLE]
such that . By inspection, as well as . Moreover, since , we have .
Lemma 20
A relativistic constraint of the form , such that , , and , is deparameterizable by factorization only if .
Proof: The factorized version of such a constraint must be of the form
[TABLE]
which we compare with
[TABLE]
Taking a commutator with and equating the two expressions yields . Using this result to eliminate and setting the two expressions equal gives
[TABLE]
This expression can be rearranged to solve for in terms of , , and their commutators with
[TABLE]
We combine the first two terms using equation (26) (with ):
[TABLE]
Now consider the commutator
[TABLE]
where in the final equality we once again used (26). This result immediately implies
[TABLE]
as a necessary condition for our constraint to be deparameterizable by factorization.
Example: We assume that has a square root in . Comparison of the two constraint forms results in
[TABLE]
The factorizability condition (26) now gives
[TABLE]
or
[TABLE]
For example, in a two-component system with canonical generators , setting
[TABLE]
satisfies equation (30) and leads to the factorization
[TABLE]
As this example demonstrates, in general a constraint has to be of a specific form in order for a deparameterization and therefore evolution with respect to a gauge section to exist. This result showcases the power of our general approach to quantum dynamical reduction. The restrictions of the type found in Lemmas 18–20 have not been anticipated by the standard method of deparameterization on a fixed Hilbert space, which treats each specific scenario individually and has mainly been applied to time-independent systems in which , where and commute. The additional restrictions derived here are the consequence of the inclusion of time dependence from the outset, as well as the general algebraic treatment that is not tied to a specific Hilbert-space representation.
Acknowledgements
This work was supported in part by NSF grants PHY-1607414 and PHY-1912168.
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