Weak KAM theory in higher-dimensional holonomic measure flows
Rodolfo Rios-Zertuche

TL;DR
This paper develops a weak KAM theory for higher-dimensional holonomic measure flows, connecting it to Hamilton-Jacobi equations and providing new characterizations of minimizable Lagrangians.
Contribution
It introduces a novel weak KAM framework for parameterized cobordisms and holonomic measures, extending classical theory to higher dimensions.
Findings
Existence of weak KAM solutions in the context of holonomic measures
Characterization of minimizable Lagrangians within this framework
Development of abstract weak KAM machinery for higher-dimensional flows
Abstract
We construct a weak KAM theory for parameterized cobordisms and their relaxation, holonomic measures. We find a weak kam solution in that context, and we show that in many cases it corresponds to an exact form that satisfies a version of the Hamilton-Jacobi equation. Along the way, we give a characterization of minimizable Lagrangians, as well as some abstract weak KAM machinery.
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Taxonomy
TopicsQuantum chaos and dynamical systems · Mathematical Dynamics and Fractals · Geometry and complex manifolds
Weak KAM theory in higher-dimensional holonomic measure flows
Rodolfo Ríos-Zertuche
Abstract.
We construct a weak kam theory for parameterized cobordisms and their relaxation, holonomic measures. We find a weak kam solution in that context, and we show that in many cases it corresponds to an exact form that satisfies a version of the Hamilton-Jacobi equation. Along the way, we give a characterization of minimizable Lagrangians, as well as some abstract weak kam machinery.
1. Introduction
In this paper we construct a weak kam theory for Lagrangian action functionals on a relaxation of the space of parameterized cobordisms. Let us briefly explain how this works. Given a manifold of dimension and two submanifolds and of dimension , a cobordism joining and is a submanifold of dimension whose boundary is exactly the two submanifolds and . Let us say that the manifold can be parameterized by a set of maps , , so that the derivative is a map from to , the Whitney sum of copies of . Then the action of with respect to the Lagrangian function is defined to be
[TABLE]
where denotes the Lebesgue measure on . This integral is, in general, dependent on the parameterization of . An example of such a functional is the surface area, which corresponds to setting
[TABLE]
Another way to think about the action of the Lagrangian function is as the integral of over the measure
[TABLE]
on . One can also integrate differential forms with respect to , since they define real-valued functions on ; thus induces a current with boundary equal to the difference of the currents similarly induced for the submanifolds and , . Note that, up to a sign, is independent of the parameterization of the corresponding manifold . Thus we consider the following relaxation: we replace the space of measures corresponding to parameterized cobordisms by the space of measures on such that their induced current has the right boundary, ; we term these measures holonomic measures.
The weak kam theory was originally discovered [9] in a very different context, namely, in the study of geodesics of Lagrangian and Hamiltonian dynamical systems. In a sense, that would correspond to the case in our description above: instead of cobordisms, one simply considers curves joining points on a manifold . The theory then gives a function that is a viscosity solution of the Hamilton–Jacobi equation, , where is the Hamiltonian and . This gives a precise description of the asymptotic dynamics of many of the geodesics of the system. A relaxation similar to the one described above was also considered in that context (see for example [13, 6]).
The weak kam theory we construct in this paper has many similarities and many differences with the one obtained in the original context. Among the differences, we can note that the function produced by the main theorem is no longer a function on the manifold , but on a certain space of objects that can be understood as slices of holonomic measures: just like we can consider a cylinder as a set of circles glued together, and the cylinder then as a curve in the space of circles, a curve in the space of argute slices will give a holonomic measure, thus giving meaning to the notion of flow in the space of slices of holonomic measures. As was the case in the original context, the theory we describe can be interpreted as giving a description of the dynamics of the geodesic flow induced by the Lagrangian action, now in the space of argute slices. Instead of geodesics, we have action-minimizing holonomic measures, which are akin to action-minimizing cobordisms. The function , which will be, in an appropriate sense, a weak kam solution, will also in certain circumstances correspond to a differential form on that will satisfy a sort of Hamilton–Jacobi equation, .
The organization of the paper is as follows. Section 2 develops a point of view of what a weak kam theory is, and it introduces the concepts of Lagrangian category, the Lax-Oleinik semigroup, a weak kam solution, and a finely kam-amenable category; it then gives a few examples from the literature, before turning to the proof a general weak kam theorem with mild assumptions on the class of Lagrangian categories it applies to. Section 3 is devoted to the particular example of a Lagrangian category that we are interested in, in which the objects are -dimensional currents that arise as time slices of holonomic measures; in this section we give sufficient conditions for such a Lagrangian category to be weak kam-amenable and we show that in that case there are weak kam solutions. Section 4 gives the characterization of minimizable Lagrangian actions and the connection of weak kam solutions on the Lagrangian category of currents to exact forms on a manifold, and explains in which sense they satisfy a Hamilton–Jacobi equation.
Acknowledgements.
I am deeply grateful for the advice of Albert Fathi, whose question unleashed this line of research. I am deeply indebted to Patrick Bernard, Valentine Roos, and Stefan Suhr for helpful discussions. I would also like to thank the anonymous referee for numerous useful and insightful suggestions and remarks.
I am also very grateful to the École Normale Superieure de Paris, the Université de Paris – Dauphine, and the Artificial and Natural Intelligence Toulouse Institute for their hospitality and support during the development of this research.
The research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Programme (fp/2007-2013) / erc Grant Agreement 307062. The author acknowledges the support of anr-3ia Artificial and Natural Intelligence Toulouse Institute.
2. What is a weak KAM theory?
2.1. Abstract formulation and examples
In this section, as a sort of preface, we give a point of view of what constitutes a weak kam theory, for which we do an abstraction of some of the material in [10], and we relate it to the original construction of Fathi–Siconolfi [9].
We use the language of categories, as it appears to fit naturally and to appropriately generalize the weak kam theories that we know of. However, the reader unfamiliar with categories can do the following substitutions without losing much: instead of the collection of objects of the category, think of a topological space, and instead of the morphisms of the category, think of paths joining the points of the topological space.
2.1.1. Abstract formulation.
A category with morphisms
[TABLE]
is Lagrangian if it is endowed with two functions
[TABLE]
associating to each morphism the action and the internal time duration satisfying the relations
[TABLE]
for all objects and all morphisms and between them, as well as
[TABLE]
for the identity morphism .
Given a Lagrangian category , we define, for and , the finite time action potential by
[TABLE]
It satisfies, for all , and ,
[TABLE]
Associated to the maps , we have a set of maps that operate on functions by
[TABLE]
The set is known as the Lax-Oleinik semigroup and it satisfies
[TABLE]
The central result of a typical weak kam theory, a version of which is presented below in Theorem 2, is that, under certain technical assumptions on a Lagrangian category , there exists a function satisfying
[TABLE]
The significance of this result depends on the context of the specific category , so the reader will be well-served with a some examples, and we give some in the next subsections.
2.1.2. Weak kam solutions.
Before passing to the examples, however, let us give a useful alternative characterization of a function satisfying (1) that applies to many cases of interest.
A function is a weak kam solution (of negative type111The classical theory [9] includes the concept of weak kam solutions of positive type obtained by appropriately changing the signs of time parameters , and the subsequent idea of conjugate solutions, which are both very interesting. For simplicity we do not discuss those topics here.) if there is some such that, for all objects and of and every we have
[TABLE]
and if, for every object in , there is a subcategory of such that is an object of , contains an object for each with , the set of morphisms is nonempty for all , and for all ,
[TABLE]
Analogously to the classical case, we refer to the subcategory as a geodesic of the Lagrangian category .
A Lagrangian category is finely kam-amenable if the morphisms can be realized as curves in the collection of objects, the action can be realized as an integral over these curves, the minimal action is always attained, and the curves realizing it can be extended indefinitely; more precisely:
- A1.
For every pair of objects and in and every morphism between them, there are and a curve such that , . 2. A2.
The association is such that, for every two morphisms and , the curve associated to the composition is the concatenation of followed by , that is,
[TABLE] 3. A3.
For each , if is defined on , then for each there exist morphisms and such that . 4. A4.
For every and and each function satisfying (1), the function
[TABLE]
attains its minimum in the set of pairs with and . 5. A5.
Let be an object in . For each , let be the collection of morphisms such that and for all with ; by A4, is nonempty. For , let be the set of morphisms such that there is some with for all . Then, for each ,
[TABLE]
Lemma 1**.**
On a finely kam-amenable Lagrangian category , a function satisfies (1) if, and only if, is a weak kam solution.
Proof.
Let us first assume that satisfies (1); from the definitions this clearly implies (2). Let be an object in and let us show that the subcategory exists. We will use the notations of A5. Inductively, pick with for . For we let for any . Given , by A3 there is such that for all .
Since is finely kam-amenable, there is also, for , with , , so we let , and with this definition (3) is verified because we have
[TABLE]
by the definition of , A4 and A5.
For the converse, assume that is a weak kam solution. From (2) it follows that for all . To prove the opposite inequality, let and be an object in . Let be the object in and the morphism in verifying (3), that is,
[TABLE]
Then we have
[TABLE]
2.1.3. Weak kam for Lagrangian dynamics.
Our first example concerns the setting originally treated by Fathi–Siconolfi [9]. We take a compact Riemannian manifold and we let the objects of the category the points of the manifold , whose distance function is the one induced by the Riemannian metric . The morphisms of are simply the sets of absolutely continuous curves with and . Their composition is defined to be the concatenation , that is, the curve traversing and then . The tangent bundle is endowed with a Lagrangian function that satisfies the Tonelli conditions of strict convexity and superlinearity on the fibers of . The action is defined by
[TABLE]
for a curve , and the time function is given by . The function rendered by Theorem 2 can then be interpreted as a function on , and
[TABLE]
we have
[TABLE]
for all with . Denoting by the differential of , it follows that
[TABLE]
for a point where is differentiable, and . If we let be the Hamiltonian function associated to by the Legendre–Fenchel transform,
[TABLE]
this can be written
[TABLE]
which is to say that is a subsolution of the Hamilton–Jacobi equation. As the category is finely kam-amenable, as a consequence of (3) the Fathi–Siconolfi [9] weak kam theory actually gives us a viscosity solution of the Hamilton–Jacobi equation, . Here, “viscosity” means that, while is not a classical solution of this partial differential equation, it does enjoy certain desirable regularity properties; see [9, 7].
Many properties of the weak kam solution and the curves realizing (3) have been studied in this context; see [9]. Among many other generalizations, the case in which is -compact instead of compact was treated in [10].
2.1.4. Weak kam for optimal control problems.
Other, more general, versions of weak kam arise in the contexts of various optimal control problems; see for example [1]. For instance, if we consider the case in which is given by the points of a -compact manifold , and we also have a set of controls and a function associating a velocity to each pair . We also assume that we have a Lagrangian density satisfying some technical conditions.
The morphisms are curves such that, if is the projection, is absolutely continuous and for almost every , and is integrable. For such , we define and we set .
Then, in a manner similar to our explanation of Section 2.1.3, the function obtained by the weak kam machinery can be identified with the value function and is a viscosity solution of the Hamilton–Jacobi–Bellman equation. See for example [2] and the references therein.
2.1.5. Weak kam for mass transportation.
This context has been explored for example in [5], whose conclusions we now try to paraphrase.
Let be a compact, connected manifold, and let the objects of be the set of compactly supported Radon probability measures on . We define, for any two , to be the set of measures on with marginals and , where and are the projections of onto the corresponding copies of . In this context we have a cost function that allows us to define the action , and if we have a Riemannian metric on inducing the distance, we can define the time function . The function given by the weak kam theorem satisfying (1) can be better interpreted in an equivalent context.
With some technical assumptions, this context can be shown to be equivalent to the following [5]: Let be the category with the same objects as , but now we define, for compactly supported probability measures and on , to be the set of compactly supported measures on such that, for all ,
[TABLE]
Assume that can be written as for some function and . This would be for example the case if on a Riemannian manifold , in which case is the norm induced by the Riemannian metric of the corresponding tangent vector . Technical assumptions ont he function are necessary for the theory to hold. The function given by the weak kam theorem now turns out to be a viscosity solution of the Hamilton–Jacobi equation for the Hamiltonian associated to .
2.1.6. Weak kam on the space of slices.
In the theory we want to develop in this paper, we will consider submanifolds of a manifold , and and will not coincide. Roughly speaking, the role of will be played by the set of -dimensonal slices without boundary of -dimensional submanifolds of . The details of this approach will be developed in Section 3 and the significance of the function will be explored in Section 4.
2.2. Weak KAM machinery for noncompact metric spaces
The purpose of this section is to present and prove Theorem 2 that powers a rich range of weak kam theories. We will use the definitions and notations stated in the abstract setting presented in Section 2.1.1.
Recall a topological space is -compact if it can be covered by countably-many compact sets.
Theorem 2**.**
Let be a Lagrangian category with action and time function . Assume that the set of objects of has the structure of a -compact metric space with distance function , and that the finite action potential satisfies the technical hypotheses that follow:
- K1.
for every compact subset , there is some constant such that
[TABLE]
for all objects . 2. K2.
there are a locally Lipschitz function and a number such that
[TABLE]
for all and all .
Then there are a locally Lipschitz function and a number such that, for all ,
[TABLE]
Remark 3*.*
By Lemma 1, on a finely kam-amenable category the conclusion of Theorem 2 is equivalent to being a weak kam solution, as defined in Section 2.1.2.
Theorem 2 is a categorical formulation of a very slight generalization of the statement proved in [10]. To prove it, we need a definition and an auxiliary lemma.
Let . For , we say that is -dominated if, for every ,
[TABLE]
We denote the set of -dominated functions.
Lemma 4**.**
Under the assumptions of Theorem 2, we have:
- i.
. 2. ii.
The functions are locally uniformly Lipschitz, meaning that for each compact subset of there is a constant such that, for all , for all . 3. iii.
The set is nonempty for large enough. 4. iv.
.
Proof of Lemma 4.
To prove the first assertion, we observe that
[TABLE]
The second assertion follows immediately from assumption K1, and the third follows from assumption K2.
For the fourth assertion, observe first that if, and only if, for all and ,
[TABLE]
which is true if, and only if, (taking the infimum on the right hand side)
[TABLE]
Moreover, since by the definition of we clearly have that if then , we see that applying to both sides of (4) and using that for , we get
[TABLE]
whence again. ∎
Proof of Theorem 2..
The proof is essentially the same as that in [10, Section 4].
We denote by the quotient of the vector space by its subspace of constant functions. If is the quotient map, then since for , the semigroup (cf. item (i) in Lemma 4) induces a semigroup on that we denote and satisfies for all as well as .
The topology on is the quotient of the compact open topology (i.e., the topology of uniform convergence on compact sets). With this topology, the space becomes a locally convex topological vector space.
Denote by the image in . The subset of is convex and compact. The convexity of follows from that of . To prove that is compact, we introduce the set of continuous functions vanishing at some fixed . The map induces a homeomorphism from onto . Since is stable under addition of constants, its image is also the image under of the intersection . The subset is closed in for the compact-open topology. Moreover, it consists of functions that all vanish at and are locally uniformly Lipschitz (because of item (ii) in Lemma 4).
Let us show that is compact. Pick compact sets such that for all and , and let be a sequence of functions. From the Lipschitz version of the Arzelà-Ascoli theorem, it follows that there is a subsequence convergent in . We iteratively apply the same theorem to pass to subsequent subsequences that converge on for each . Taking the diagonal sequence we ensure convergence throughout . This means that is sequentially compact. Since the space is metrizable by
[TABLE]
is also compact.
The restriction of to induces a homeomorphism onto . As a first consequence we conclude that if
[TABLE]
then as the intersection of a decreasing family of compact nonempty subsets (cf. item (iii) in Lemma 4). It follows that is also nonempty because it contains the nonempty subset .
We have that for because is a constant so maps it to 0. Since the map
[TABLE]
is continuous, we conclude that induces a continuous semigroup of into itself (cf. item (iv) in Lemma 4). Since this last subset is a nonempty convex compact subset of a locally convex topological vector space , we can apply the Schauder-Tychonoff theorem [8, pages 414–415] to conclude that, for each , has a fixed point in if , that is, for every . Observing that for every rational we have
[TABLE]
and using a density argument, we conclude that there is in fact a fixed point common to all the maps , .
If we let be such that , then the fact that is a fixed point for means that . Using that is a semigroup, we get that . The equality shows that for all
[TABLE]
Hence . Since , we must have , which gives for all , and . We conclude that . ∎
3. Weak KAM in the space of slices
Let be a -compact, manifold of dimension without boundary, and let be a Riemannian metric on . For we let be the Whitney sum of copies of the tangent bundle , so that the fiber
[TABLE]
is a vector space of dimension , and we also define . We will denote a point in by where and .
For vectors , denote by their antisymmetric product. Given local coordinates on an open set of containing a point , the vectors form a basis of and the covectors , satisfying equal to 0 for and to 1 for , form a basis of .
For , let be the set of differential forms of order on . In particular . A form can be written, locally on an open set diffeomorphic to a ball, as , where the sum is taken over all subsets of cardinality , and for . The topology of is induced by the seminorms
[TABLE]
where is a precompact subset of , , and the sum is taken over all multiindices with . Observe that a differential form of order is a function on .
A current of dimension is a continuous functional . The boundary of a -dimensional current is a -dimensional current defined by
[TABLE]
Since for all , we also have for all currents . A compactly-supported Radon measure on induces a current by
[TABLE]
3.1. Skeleton theory
We will first discuss a stripped-down theory that essentially deals with bare cobordisms, and in the next subsection we will explain how this can be enriched with a set of objects, namely, the argute slices, that make it more evident how the slices fit together and allow for the construction of a finely kam amenable Lagrangian category.
Let be the category whose objects are the currents of dimension with null boundary and induced by a finite, nonnegative, compactly-supported Radon measure on , that is, as defined by (5). The morphisms of are, for each pair of currents and , the collections of compactly-supported, nonnegative, Radon measures on that satisfy
[TABLE]
In other words, . Composition of and is defined by
[TABLE]
We will refer to the objects of as slices, and to the morphisms as holonomic measures.
Given a function , we let, for ,
[TABLE]
and
[TABLE]
With these definitions, is a Lagrangian category.
We give the collection of objects of the structure of a metric topological space by letting
[TABLE]
where
[TABLE]
In geometric measure theory, is known as the flat distance.
Lemma 5**.**
With the topology induced by the metric , is -compact.
Proof.
Recall that a current is normal if it and its boundary are both representable by integration. Thus the objects and morphisms of are normal currents. Let be a family of nested compact sets with and . It follows from the Compactness Theorem for Normal Currents (see for example [4, Theorem 1.4], or [3, Theorem 5.2] for a very general version) that the closed set of normal currents associated to measures and supported in and with mass bounded by , is compact in the weak* topology. By [11, Corollary 7.3], the sets are also compact in the topology induced by the flat distance, so is -compact. ∎
In order to ensure we can find a weak kam theory in this context through the application of Theorem 2 we need some technical assumption on to ensure that will satisfy the hypotheses of the theorem. Our choice of assumptions on is the following:
- L1.
The function is measurable and bounded on compact sets. 2. L2.
There are a locally Lipschitz differential form of order on and a number such that
[TABLE]
for all with in the differentiability set of .
A differential form of order is locally Lipschitz if it can be written locally on compact charts as with Lipschitz continuous, local coordinates on and , .
Theorem 18 implies that L2 is a reasonable assumption. Examples of Lagrangians satisfying L1–L2 include the family with bounded from below and .
With these assumptions, we have
Lemma 6**.**
Assume satisfies L1. For each compact set there is a number such that for every pair of currents supported in , we have
[TABLE]
Proof.
Let be supported solely on points with , so that . Let be such that throughout . Then
[TABLE]
Proposition 7** (Weak kam theorem).**
Assume satisfies L1–L2. Then there is a Lipschitz function satisfying (1).
Proof.
Lemma 6 and assumption L2 correspond to assumptions K1 and K2, respectively, of Theorem 2, which gives the proposition.∎
3.2. Enriched theory
In this subsection we give definitions conceived with the intention of clarifying what a slice of a holonomic measure is, and how the slices fit together. To fix ideas, we first offer an example.
Example 8**.**
Let be the -dimensional torus, and consider parameterized by , . The torus can be encoded as the holonomic measure on given by
[TABLE]
where is the Lebesgue measure on . We want to think of as being composed of the diagonal copies of parameterized by , ; we understand each as a slice of . For our purposes, we cannot assume that we know in advance how these slices fit together, because we want to construct a theory in which a family of slices makes up a submanifold, in the sense that we recover the associated holonomic measure . Thus, although we can encode the circles with the measures , this is not a satisfactory answer because the vector does not encode the information contained in the vectors and .
A solution to this problem is to consider a richer object that encodes not only the information of the partial derivatives of but also the differential of the parameter that describes how they fit together. Hence, instead of we take the measure on defined by
[TABLE]
Then we have, forgetting the last piece of information by pushing forward with the projection ,
[TABLE]
so the slices fit together correctly. At the same time, we may recover the 1-dimensional character of each slice; they act on differential forms of order 1, according to the following recipe: for each , we set to be the current given, for , by
[TABLE]
So indeed encodes . In conclusion, the measures contain enough information to simultaneously recover both an infinitesimal 2-dimensional slice of and the currents induced by , and in this way they have 1- and 2-dimensional character at the same time, and they carry information about how they can fit within the full holonomic measure .
We will now give the full definition. Let , and denote by and the canonical projections
[TABLE]
We will denote a point in by for , , .
Definition 9**.**
We define argute slices to be those compactly-supported Radon probability measures on such that their induced -dimensional currents ,
[TABLE]
have null boundary . Denote the set of argute slices by .
Note that the measure on induces a current of dimension on . As in Example 8, the factor is there to perform the transition between the -dimensional slice and the -dimensional current it is a slice of.
Definition 10**.**
For , a curve of argute slices is a family , such that
- C1.
for all , 2. C2.
for , the measure on is such that its associated current has boundary
[TABLE]
In other words, in . In particular, must be integrable on for all . 3. C3.
Given Lebesgue-almost any and sequences and with and , we have
[TABLE]
For a curve of slices , its associated holonomic measure , is defined by
[TABLE]
With these definitions and given the same information we used for , namely, a Riemannian manifold and a Lagrangian function satisfying L1–L2, we may define a Lagrangian category that is closely related to .
Definition 11**.**
Let be a Riemannian manifold and be a measurable function. We let the collection of objects of be the set of argute slices , and we let be the set of curves of argute slices joining and , and such that is integrable with respect to the associated holonomic measure . The action of is given by
[TABLE]
and the internal time duration
[TABLE]
coincides with because each is a probability.
Remark 12*.*
The category can basically be obtained from by forgetting the extra structure and information that the latter encodes. More precisely, the connection of with can be described as follows.
First off, we may choose a measurable map associating to each point a lift using a vector linearly independent to , and its dual . Then, each slice induced by a measure on , , can be realized as for the argute slice .
Accordingly, given a curve of argute slices in , we get a holonomic measure in , and in this case it remains an open question whether this map is surjective; we expect it to be.
To obtain a weak kam theory, we will assume the following:
- R1.
The function is continuous. 2. R2.
There are a constant and a Lipschitz differential form such that . 3. R3.
The smooth manifold is compact. 4. R4.
For every there is such that, for all ,
[TABLE]
The main result of this section is
Theorem 13**.**
If R1–R4 hold, then there is a weak kam solution .
Remark 14*.*
Remark 19 explains the way in which can be connected to an exact differential form on that satisfies a sort of Hamilton–Jacobi equation.
Proof of Theorem 13.
By Corollary 16, there is a function satisfying (1). Lemma 17 shows that is weak kam amenable. By Lemma 1, it follows that is a weak kam solution. ∎
Lemma 15**.**
Assume that the manifold is -finite, and R1 and R2 hold. The Lagrangian category is a -compact metric space that satisfies hypotheses K1 and K2 in Theorem 2.
Proof of Lemma 15.
Let be a collection of nested compact sets such that . For , consider the subcategory whose objects are those with mass and supported on the compact subset of consisting of points with and , with morphisms corresponding to the curves of those argute slices contained in in . It follows from the same argument as in Lemma 5 that is compact. Since , it is -compact.
Property K1 follows from the same argument as in the proof of Lemma 6 because R3 and R1 imply that is bounded on compact subsets of .
Property K2 follows from R2. To see how this works, let, for each argute slice , . If and are two argute slices and , we then have, by C2,
[TABLE]
Taking the infimum over all with , we get K2. ∎
Corollary 16**.**
Assume that the manifold is -finite, and R1 and R2 hold. Then there is a Lipschitz function satisfying (1).
Proof of Corollary 16.
By Lemma 15 we may apply Theorem 2 to , which gives the function . ∎
Lemma 17**.**
Assume R1–R4 hold. Then the category is finely kam amenable.
Proof of Lemma 17.
In the notation of Section 2.1.2, for and given by a family , we let . Then it is clear that A1–A3 hold.
Let and and let us show that A4 holds. It follows from R2 that, for with ,
[TABLE]
This means that, given , there is a compact set such that any with
[TABLE]
satisfies , lest the volume integral term be too large. In the following, set .
Endow with the topology in which a sequence of curves converges to another curve if, for all and all
[TABLE]
In this topology, is complete and, if is the closed subset of consisting of curves with and , then is compact by the Prokhorov theorem [14]. In particular (6) means that, if in ,
[TABLE]
so is continuous.
By Lemma 15, , and the same argument as in Lemma 4(ii) gives that any function satisfying (1) is Lipschitz.
From the continuity of and and the compactness of , we know that within the minimum of the map is achieved. Since all curves in with not contained in have larger action, the minimum in is the same as in , and is hence also reached there. This is the statement of A4.
That A5 is true also follows from the compactness of ; let us see how. For each , , is nonempty by A4; take . Consider the subfamilies . These satisfy and , so there is a subsequence converging to some , which is what A5 requires. ∎
4. Characterization of minimizable Lagrangians
In this section we characterize the Lagrangian actions minimizable by holonomic measures in Theorem 18. We then connect the weak kam solutions from Theorem 13 with exact differential forms in Corollary 21.
We will work in the context of the Lagrangian category defined in Section 3.1, so that we are given a manifold and a Borel-measurable function . The action is given by integration of with respect to the holonomic measures that constitute the morphisms of .
We denote by the space of infinitely-differentiable functions on the bundle , and we let denote the space of compactly-supported distributions on , which is dual to . The set contains, in particular, all compactly-supported, Radon measures on .
Fix two objects in such that the set is not empty. In other words, and are normal -dimensional currents without boundary, and there exist compactly-supported Radon measures on such that the induced current has boundary , so that .
Recall a topological vector space is sequential if for every set and every element in the closure there exists a sequence of points such that . This is verified if is normed, metric, or first countable (that is, if every point has a countable neighborhood basis).
Let be a complete, sequential, locally-convex topological vector space of Borel measurable functions on that contains as a subspace. Assume that every element of induces a continuous linear functional on , i.e., , and that the topology of is finer than the one this subspace inherits from , or, in other words, that every open set in the inherited topology is an open set in the topology induced by the seminorms
[TABLE]
where , is compact, and the sum is taken over all multi-indices with . This assumption implies that every continuous linear functional defines a compactly-supported distribution when restricted to . For example, can be the space , , with the topology of uniform convergence on compact sets of the derivatives of order .
Theorem 18**.**
If is an element of such that its action functional reaches its minimum within at some measure , then there exist differential forms in , and nonnegative functions in such that
[TABLE]
and
[TABLE]
where the limit is taken in . In particular,
[TABLE]
Remark 19*.*
In many cases, like in the situation of Corollary 21 below, using the version of the Arzelà–Ascoli theorem given in Lemma 22, one can extract a Lipschitz limit of the forms . It then satisfies
[TABLE]
with equality -almost everywhere. Here one can think of as the Hamiltonian, so that we are looking at a sort of Hamilton-Jacobi equation. In this sense, we can say that is a critical subsolution of the Hamilton-Jacobi equation; cf. [9].
In order to prove the theorem, we need
Lemma 20**.**
In the setting of Theorem 18, let
[TABLE]
Then we have in .
Proof of Lemma 20.
For a convex subset of a topological vector space, we will denote by the set of real-valued continuous affine functionals in that are nonnegative on .
We first observe that . To see why, note that the set of functionals induced by nonnegative elements of is a subset both of and of (in the latter case, take and ), so by [12, §6.22] all elements of and can be represented as integration over compactly-supported, nonnegative, Radon measures. Also, if , then the affine functional
[TABLE]
belongs to both and , so it is nonnegative throughout and . Since its negative is, for the same reason, nonnegative throughout and , we conclude that
[TABLE]
for all and all . In other words, the current induced by the measure representing has boundary . So indeed .
Since , we have . Indeed, if there were some , then the Hahn–Banach separation theorem would produce a continuous affine functional with for some and all , whence the continuous affine functional would be positive on and not on , contradicting ; a similar situation would arise if .
The claim of the lemma follows from the fact that is closed. ∎
Proof of Theorem 18.
The functional belongs to the set in the statement of Lemma 20, and by the lemma it also belongs to . The sequentiality of implies that the topological closure equals the sequential closure, so there exists a sequence of affine functions of the form
[TABLE]
with , , ,and converging to . Comparing the linear and constant parts of the functionals and , we conclude that . We also have that
[TABLE]
where the last equality is true because the boundary of is , that is . ∎
Corollary 21**.**
Let be a function satisfying the hypotheses of Theorem 13. Assume that there is a family of curves of argute slices such that the support of the holonomic measures covers almost all of , that is, such that if for , then the complement of the set
[TABLE]
has Lebesgue measure zero on .
Moreover, assume that the curves minimize the action simultaneously, in the sense that every convex combination of the associated holonomic measures minimizes with respect to all positive, compactly-supported, Radon measures with the same boundary.
Then the function in the conclusion of Theorem 13 corresponds to a Lipschitz form , and for all , we have
[TABLE]
Proof.
Form a convex combination of all the the associated holonomic measures using a probability measure supported throughout . Apply Theorem 18 to obtain forms as in the statement of that result, and then apply also Lemma 22 to obtain a subsequence of the forms converging to a Lipschitz differential form that corresponds to as statement of the corollary. ∎
Lemma 22** (Arzelà–Ascoli for sections of a vector bundle).**
Let be a sequence of smooth, uniformly bounded as sections of a vector bundle on the compact manifold , and assume that their derivatives are also uniformly bounded. Then there is a subsequence such that the sequence converges uniformly to a Lipschitz section of .
Proof.
Take a finite set of sections of such that, for each , the set is a basis for the fiber of at . Express each as , for some smooth functions . Note that the uniform boundedness of implies the uniform boundedness of the derivatives . Apply the classical Arzelà–Ascoli result for Lipschitz functions to the sequences , , successively so as to obtain a subsequence for which all sequences converge simultaneously to Lipschitz functions , which gives the statement of the lemma with . ∎
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