$\Gamma$-convergence for functionals depending on vector fields. I. Integral representation and compactness
Alberto Maione, Andrea Pinamonti, Francesco Serra Cassano

TL;DR
This paper investigates the $ ext{Gamma}$-convergence of functionals depending on locally Lipschitz vector fields, establishing integral representations and compactness results crucial for understanding variational problems involving such vector fields.
Contribution
It provides the first integral representation and $ ext{Gamma}$-compactness results for functionals depending on locally Lipschitz vector fields, extending variational analysis in this context.
Findings
Established integral representation for local functionals depending on vector fields.
Proved $ ext{Gamma}$-compactness for a class of integral functionals involving vector fields.
Extended the theoretical framework for variational problems with vector field dependence.
Abstract
Given a family of locally Lipschitz vector fields on , , we study functionals depending on . We prove an integral representation for local functionals with respect to and a result of -compactness for a class of integral functionals depending on .
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-convergence for functionals depending on vector fields. I. Integral representation and compactness.
A. Maione
Alberto Maione: Dipartimento di Matematica
Università di Trento
Via Sommarive 14
38123, Povo (Trento) - Italy
,
A. Pinamonti
Andrea Pinamonti: Dipartimento di Matematica
Università di Trento
Via Sommarive 14
38123, Povo (Trento) - Italy
and
F. Serra Cassano
Francesco Serra Cassano: Dipartimento di Matematica
Università di Trento
Via Sommarive 14
38123, Povo (Trento) - Italy
Abstract.
Given a family of locally Lipschitz vector fields on , , we study functionals depending on . We prove an integral representation for local functionals with respect to and a result of -compactness for a class of integral functionals depending on .
A.M is supported by MIUR, Italy, GNAMPA of INDAM and University of Trento, Italy.
A.P. is supported by MIUR, Italy, GNAMPA of INDAM and University of Trento, Italy.
F.S.C. is supported by MIUR, Italy, GNAMPA of INDAM and University of Trento, Italy.
1. Introduction
In this paper we will deal with the -convergence, with respect to -topology, for integral functionals , , defined by
[TABLE]
and
[TABLE]
where is a given family of first linear differential operators, with Lipschitz coefficients on a bounded open set , that is,
[TABLE]
with for , and where is a Borel function. In the following, we will refer to and as -gradient and integrand function, respectively. As usual, we will identify each with the vector field . Moreover, we set
[TABLE]
and we will call the coefficient matrix of the -gradient.
Throughtout the paper the class of integrand functions will tipically satisfy the following structural conditions:
- ()
for every , the function is Borel measurable on ;
- ()
for a.e. , the function is convex;
- ()
there exists constants such that
[TABLE]
for a.e. and for each .
We will denote by the class of such integrand functions. Notice that both functionals (1) and (2) always admit an integral representation with respect to the Euclidean gradient. Indeed, for instance, functional (1) can be represented as follows
[TABLE]
where now denotes the Euclidean integrand defined as
[TABLE]
Notice also that, in general, we cannot reverse this representation (see Counterexample 3.15). Moreover the representation with respect to the Euclidean gradient could yield a loss of coercivity. Indeed, for instance, let us consider as -gradient the *Grushin *and Heisenberg vector fields in Example 2.2 (ii) and (iii), respectively, and let . Then, it is easy to see that there are no positive constants such that the associated Euclidean integrand satisfies
[TABLE]
if the open set contains some segment of the line , for the Grushin vector field, and for each open set , for the Heisenberg vector fields. Nonetheless, we will show that, by replacing the Euclidean gradient with the -gradient, we can get rid of this drawback.
Functional (1) was studied in [FSSC1] as far as its relaxation and in connection with the so-called Meyers-Serrin theorem for Sobolev spaces associated with the -gradient, denoted (see Definition 2.3 and [FS]). As a consequence, the following characterization of relaxed functionals and can be given (see (22) and Theorem 3.1): if with and denotes the functional
[TABLE]
then
[TABLE]
By (6) and a well-known property of -convergence (see [DM, Propostion 6.11]), the characterization of -limits for functionals of type (1) or (2), associated to integrand functions in , can be reduced to the one for functionals of type (5) still associated to integrand functions in . For getting such a characterization, the following structure assumption on the -gradient turns out to be a key point.
1.1 Definition**.**
We say that the family of vector fields on an open set satisfies the linear independence condition (LIC) if there exists a closed set such that and, for each , are linearly independent as vectors of .
Let us point out that (LIC) condition embraces many relevant families of vector fields studied in literature (see Example 2.2). In particular neither the Hörmander condition for , that is, vector fields ’s are smooth and the rank of the Lie algebra generated by equals at any point of , nor the (weaker) assumption that the -gradient induces a Carnot-Carathéodory metric in is requested. An exaustive account of these topics can be found in [BLU].
The main results of this paper are the following (see Theorems 3.12 and 4.11).
- •
Assume that the -gradient satisfies (LIC) on and let us denote by the class of open sets contained in . Then an integral representation result, with respect to the -gradient, is provided for a local functional satisfying suitable assumptions.
- •
Assume that the -gradient satisfies (LIC) on , and let () be a sequence of integral functionals of the form (5) with , where for given constants . Then, up to a subsequence, -converges, in -topology, to a functional , and can be still represented as in (5), for a suitable integrand function .
We will also single out two signifiant integrand function subclasses () for which the associated functionals in (5) are still compact with respect to - convergence with respect to -topology (see Theorem 4.20).
The techniques for showing the integral representation Theorem 3.12 rely on the analogous classical integral representation result for the Euclidean gradient (see [DM, Theorem 20.1] ), together with a characterization of integral functionals depending on the Euclidean gradient which can be also represented with respect to a given -gradient (see Theorem 3.5). Let us stress that we cannot here exploit, as in the case of the Euclidean gradient, the approximation by piecewise-affine functions in classical Sobolev space , since it could not work in Sobolev space (see section 2.3). The strategy for showing the -compactness Theorem 4.11 will consists of two steps.
1st step. By applying classical results contained in [DM], we will prove the following result (see Theorem 4.18): let , let be a sequence of integral functionals on , , of the form
[TABLE]
where
[TABLE]
Then, up to a subsequence, there exists such that
[TABLE]
and can be represented by an integral form on by means of an Euclidean integrand function, that is,
[TABLE]
for every , for every such that for a suitable Borel function . 2nd step. We will show that the class satisfies the following closure property with respect to -convergence (see Theorem 4.19): assume that and (9) and (10) hold, then satisfies the assumptions of the integral representation Theorem 3.12. Thus can be also represented in the integral form (5), by means of an integrand function .
Eventually let us point out that the -convergence for functionals such as in (1) have been studied in the framework of Dirichlet forms [MR, Fu], but for special integrand functions and -gradient satisfying the Hörmander condition,(see, for instance, [Mo, BT] and references there in). Other variational convergences, such as homogenization and -convergence for subelliptic PDEs have been also widely studied , always assuming the -gradient satisfying the Hörmander condition (see, for instance, [BMT, BPT1, BPT2, FT, FGVN, FTT, BFT, BFTT] and the references there in). In the subsequent paper [MPSC] we will be concerned with relationships between -convergence of functionals depending on vector fields and convergence of their minimizers. Thus, we will refer to [MPSC] for a comparison among our results with those already present in literature.
Acknowledgements. We thank A. Braides, G. Buttazzo, G. Dal Maso, A. Defranceschi and B. Franchi for useful suggestions and discussions on this topic.
2. Vector fields and Sobolev spaces depending on vector fields
2.1. Notation and definitions
Through this paper is a fixed open set and . If , we denote by and the Euclidean norm and the scalar product, respectively. If and are subsets of then means that is compactly contained in . Moreover, is the open Euclidean ball of radius centered at . Sometimes we will denote by the open Euclidean ball of radius centered at in . If then is the characteristic function of , is its n-dimensional Lebesgue measure and by notation a.e. , we will simply mean -a.e. .
In the sequel we denote by the space of -valued functions times continuously differentiable and by the subspace of whose functions have support compactly contained in .
We will use spherically symmetric mollifiers defined by , where , and .
For any define as an element of as follows
[TABLE]
. If we set with
[TABLE]
the aspect of the definition is even more familiar
[TABLE]
2.1 Remark*.*
If satisfies (LIC) on an open set , then . Moreover, by the well-known extension result for Lipschitz functions, without loss of generality, we can assume that vector fields’ coefficients for each , .
2.2 Example** (Relevant vector fields).**
(Euclidean gradient ) Let . In this case the coefficients matrix of is a matrix and
[TABLE]
denoting the identity matrix of order .
(Grushin vector fields) Let be the vector fields on defined as
[TABLE]
In this case the coefficients matrix of is a matrix and
[TABLE]
(Heisenberg vector fields) Let be the vector fields on defined as
[TABLE]
In this case the coefficients matrix of is a matrix and
[TABLE]
Notice that all three families of vector fields satisfy (LIC) respectively in , and . Indeed, it suffices to take in and and with in . Moreover they are locally Lipschitz continuous in .
2.3 Definition**.**
For we set
[TABLE]
2.4 Remark*.*
Since vector fields have locally Lipschitz continuous coefficients, for each , thus, by definition, it is immediate that, for each open bounded set ,
[TABLE]
and for any
[TABLE]
where denotes the classical Sobolev space, or, equivalently, the space associated to (see Example 2.2 (i)). Moreover it is easy to see that inclusion (14) can be strict and turns out to be continuous. As well, there is the inclusion
[TABLE]
The following Proposition is proved in [FS]
2.5 Proposition**.**
* endowed with the norm*
[TABLE]
is a Banach space, reflexive if .
2.6 Remark*.*
The following properties hold for functions in :
- (i)
let and assume there exists an open set such that . Then, for every open set , there exists
[TABLE]
Indeed, there exists a cut-off function such that in . If
[TABLE]
then it is easy to see that satisfies (17).
- (ii)
Let be a finite family of open subsets of and let . If for all then . Consider a partition of unity subordinate to the covering , i.e., nonnegative functions such that each has support in some and for all . Set . Since the support of is contained in some , it is clear that . The conclusion follows observing that .
- (iii)
Let be an open subset and let be such that there exists , for any , then . It is easy to see that admits the weak gradient . Consider a sequence of open subsets of , with and
[TABLE]
and the conclusion follows.
- (iv)
Let be an open subset and , then for any open set . The thesis follows easily observing that .
2.2. Approximation by regular functions
Let us recall in this section some results of approximation by regular functions in these anisotropic Sobolev spaces. In particular the analogous of the celebrated Meyers-Serrin theorem, proved, independently, in [FSSC1] and [GN]. Analogous results (under some additional assumptions) in the weighted cases are proved in [FSSC2], see also [APS] for a generalization to metric measure spaces.
Here and in the sequel, if , we will denote by its extension to the whole being [math] outside of .
2.7 Proposition**.**
Assume for . Then if
[TABLE]
where is a mollifier supported in .
2.8 Definition**.**
For we set
[TABLE]
As for the usual Sobolev spaces . The classical result ‘’of Meyers and Serrin ([MS]) still holds for these anisotropic Sobolev spaces.
2.9 Theorem**.**
Let be an open subset of and . Then
[TABLE]
The proofs of Proposition 2.7 and Theorem 2.9 can be found in [FSSC1] and [GN].
Let us collect below some well-known properties about approximation by convolution and convex functions.
2.10 Proposition**.**
- (i)
Let and be in and let be a bounded open set such that
[TABLE]
Then, for each open set , for given ,
[TABLE]
- (ii)
Let be a convex function and let . Then, for each bounded open sets and with , for each ,
[TABLE]
Proof.
(i) See, for instance, [DM, Proof of Theorem 23.1]
(ii) See, for instance, [DM, (23.5)]. ∎
2.3. Approximation by piecewise affine functions
It is well known (see, for instance, [ET, Chap. X, Proposition 2.9]) that the class of piecewise affine functions is dense in the classical Sobolev space , provided that is a bounded open set with Lipschitz boundary. This result is crucial in the proof of the classical integral representation theorem with respect to the Euclidean gradient (see, for instance, [DM, Theorem 20.1]). The aim of this section is to prove that no results of this kind are available for a general family in , by extending, in a natural way, the notion to be affine with respect to the -gradient. We say that is affine if there exists such that for all . Let be open. We say that is affine if it is the restriction to of a affine function over . Moreover, we say that is piecewise affine if it is continuous and there is a partition of into a negligible set and a finite number of open sets on which is affine. We prove that for Grushin and Heisenberg vector fields the approximation of functions in using piecewise affine functions does not hold.
It is easy to see that, if is the Heisenberg vector field on (see Example 2.2 (iii)), then a function is affine if and only if
[TABLE]
for suitable constants . Indeed, it is trivial that a function in (19) is - affine. Conversely, if and on , for some , then the commutator on , which gives for each , for some .
Let , then whenever . Since any piecewise affine function does not depend on , there cannot be any sequence of piecewise affine functions such that for a.e. .
Let be the Grushin vector fields on (see Example 2.2 (ii)). Let be such that and on . Then it is easy to prove, arguing as before, that for each , for some . The conclusion follows as in the previous case taking , which belongs to for any and any bounded open set .
3. Relaxation and characterization of integral functionals depending on vector fields
In the study of the convergence it will be helpful to consider and as local functionals. Namely, according to [DM, Chap. 15], we will consider the functionals
[TABLE]
[TABLE]
For future use, we denote by the class of all open sets compactly contained in .
3.1. Characterization of the relaxed functional and its finiteness domain
We are going to characterize the relaxed functionals of in (1) and in (2) with respect to the topology of . Let us recall that the relaxed functional of a given functional is defined as follows (see, for instance, [B]):
[TABLE]
Then it is well known (see, for instance, [B]) that is the greatest -lower semicontinuous functional smaller or equal to .
The relaxed functionals and can be characterized as follows:
3.1 Theorem**.**
Let and let be an open subset of ; let be an integrand function in with . Then
* dom ;*
* for every ;*
* for each .*
Proof.
Claims (i) and (ii) are proved in [FSSC1, Theorem 3.3.1]. Let us prove (iii). Let and with in . Since, in particular, we get
[TABLE]
which implies
[TABLE]
Let denote the functional in (5). By [B, Theorem 2.3.1], is -lower semicontinuous. Let , then, by (), we have
[TABLE]
thus and . This implies on and consequently on . Using (24) and (ii) we conclude
[TABLE]
which completes the proof.
∎
When the domain of relaxed functional gives rise to the space of functions of bounded variation function associated to , (see [FSSC1, Theorem 3.2.3]).
3.2. A characterization of functionals depending on vector fields
We are going to study when a local functional can be equivalently represented both with respect to a family of vector fields and the Euclidean gradient .
We already stressed that the functional in (1) can be always represented with respect to the Euclidean gradient on by means of the Euclidean integrand (4).
Then, it is clear that, for each and ,
[TABLE]
Viceversa, we are going to study when, given a -gradient and a functional
[TABLE]
there exist a function such that
[TABLE]
Let us begin with some preliminaries of linear algebra.
In the following, we identify the space of real matrices of order with or , where denotes the class of linear maps from to endowed with its operator norm. Given a matrix of order its operator norm is defined as
[TABLE]
and its Hilbert-Schmidt norm as
[TABLE]
(see [La, Chap. 7]). Since the norms are equivalent, we can also identify the spaces
[TABLE]
where we recall that . For each , let be the linear map
[TABLE]
where denotes the matrix in (3). Let and respectively denote the subspaces of defined as
[TABLE]
It is well-known that and are orthogonal complements in , that is
[TABLE]
Moreover, for each and , let us define and as the unique vectors of such that
[TABLE]
and let be the projection
[TABLE]
3.2 Proposition**.**
Assume that the family of vector fields satisfies (LIC) on . Let be the matrix in (3) and be the map in (28). Then is invertible and the map defined as
[TABLE]
belongs to .
Before giving the proof of Proposition 3.2, let us prove a preliminary technical lemma.
3.3 Lemma**.**
Under the same assumptions of Proposition 3.2,
- (i)
* for each and where denotes the range of , that is, . In particular is an isomorphism.*
- (ii)
Let
[TABLE]
Then, for each , is a symmetric invertible matrix of order . Moreover the map , defined as
[TABLE]
*is continuous. *
- (iii)
For each , the projection in (32) can be represented as
[TABLE]
If , then, , the identity map in .
3.4 Remark*.*
Using the definition of it is easy to see that
[TABLE]
i.e., the so-called horizontal bundle, denoted also by .
Proof.
(i) The claim is a well-known result of basic linear algebra.
(ii) It is straightforward that a symmetric matrix of order for each . We have only to show that it is invertible for each or, equivalently, that
[TABLE]
Let denotes the transpose of a column vector . If , then
[TABLE]
By (LIC), since
[TABLE]
from (37) we get that and (36) follows. Let us now prove that the map (35) is continuous. Let us recall that, given a matrix , by the definition of determinant (see, for instance, [La, Chap.3,Theorem 6]), the determinant map
[TABLE]
is continuous. Moreover
[TABLE]
By Cramer’s rule (see, for instance, [La, Chap.3,Theorem 7]), if , then
[TABLE]
where is the matrix obtained by striking out the th row and th column of , i.e., the th minor of . This implies that .
(iii) We have
[TABLE]
for a suitable (unique) depending on and . On the other hand, by (38),
[TABLE]
Since is invertible, by (39), we get the desired conclusion. ∎
Proof of Proposition 3.2.
The fact that the map is invertible follows from Lemma 3.3 (i). Let us now prove that
[TABLE]
where is the matrix in (34). Let us fix and let . By Lemma 3.3 (iii), there exists such that . Thus
[TABLE]
By Lemma 3.3 (ii), it holds . Therefore we get
[TABLE]
and (40) follows. Let us define
[TABLE]
Then, from Lemma 3.3 (ii), . Thus, by (41), we get the desired conclusion. ∎
3.5 Theorem**.**
Let be an open set and assume that satisfies (LIC) on . Let be the functional in (26) with a Borel measurable function satisfying
[TABLE]
and
[TABLE]
Define as
[TABLE]
where is the map in (33). Then, is a Borel measurable function satisfying
[TABLE]
Moreover,
[TABLE]
if and only if
[TABLE]
*where is the distribution of -planes in defined in Proposition 3.2 and denotes the projection of on in (32).
In addition, the function for which (46) holds is unique, that is, if there exists another Borel measurable function satisfying convex a.e. and (46) holds, then for a.e. and .*
3.6 Remark*.*
If the -gradient does not satisfy (LIC) condition, the uniqueness of representation (46) may trivially fail. For instance, let be the family of vector fields on and let and for each , where are convex functions satisfying , but . Then it clear that and are integrand functions of the same functional defiined in (46) , even though .
3.7 Remark*.*
Notice that, in the case and satisfies (LIC) on , condition (47) always holds, since, by Lemma 3.3 (iii), .
Proof.
1st step. Let us prove that is Borel measurable. Let denote the map
[TABLE]
By Proposition 3.2, is continuous, then it is also Borel measurable. Since is Borel measurable, the composition is still Borel measurable.
To prove (45) it is sufficient to notice that
[TABLE]
indeed is convex for a.e. and is linear for .
2nd step. Let us prove the uniqueness of representation in (46). Assume that
[TABLE]
for given Borel measurable functions , with convex a.e. . Let us choose as
[TABLE]
for fixed , in the previous equality. By (48) and (42), it follows that the functions
[TABLE]
Choosing in (48), by Lebesgue’s differentiation theorem, we get that there exists a negligible set such that
[TABLE]
If , then (50) holds for each and . Since, for each , are continuous, it follows that (50) holds for each and . Being the map onto, we get the desired conclusion.
3nd step. Let us assume (47). To prove (46) it is sufficient to prove that, for each ,
[TABLE]
Given and , let us recall that
[TABLE]
Thus, by (47), Lemma 3.3 (iii) and the definition of , a.e. , if
[TABLE]
and (51) follows. On the other hand, let us assume that for every and
[TABLE]
where is the function in (44). By (52), for every and ,
[TABLE]
which implies
[TABLE]
Thus, for every and ,
[TABLE]
and the conclusion now follows by proceeding as in the second step of the proof. ∎
3.8 Remark*.*
Observe that (51) actually holds for each . As a consequence, (46) holds for each and .
3.3. Integral representation for local functionals with respect to vector fields
Let us recall, for reader’s convenience, some notation about set functions on and local functionals on , according to [DM]. Let be an open set.
3.9 Definition**.**
Let be a set function. We say that:
- (i)
is increasing if , for each with ;
- (ii)
is *inner regular * if
[TABLE]
- (iii)
is *subadditive *if for every with ;
- (iv)
is *superadditive *if for every with and ;
- (v)
is a *measure *if there exists a Borel measure such that for every .
3.10 Remark*.*
Let us recall that, if is an increasing set function, then it is a measure if and only if it is subadditive, superadditive and inner regular (see [DM, Theorem 14.23]).
3.11 Definition**.**
Let
[TABLE]
We say that:
- (i)
is increasing if, for every , is increasing as set function;
- (i)
is inner regular (on ) if it is increasing and, for each , is innner regular as set function;
- (iii)
is a measure, if for every , is a measure as set function;
- (iv)
is local if
[TABLE]
for each , such that a.e. on ;
- (v)
is lower semicontinuous (lsc), if for every , is lower semicontinuous.
3.12 Theorem**.**
Let be a bounded open set and assume that satisfies (LIC) on . Let and
[TABLE]
be an increasing functional satisfying the following properties:
- (a)
* is local;*
- (b)
* is a measure;*
- (c)
* is lsc;*
- (d)
* for each , and ;*
- (e)
there exist a non negative function and a positive constant such that
[TABLE]
*for each , . *
Then, there exists a Borel function such that:
- (i)
for each , for each with , we have
[TABLE]
- (ii)
for a.e. , is convex;
- (iii)
for a.e. ,
[TABLE]
In order to prove Theorem 3.12, we need two auxiliary key lemmas.
The former is well-known (see, for instance, [Ro, Theorem 12.1]). Let us recall that an affine function is a function
[TABLE]
for a suitable and .
3.13 Lemma**.**
Let be a convex function. Then
[TABLE]
The latter will turn out to be a key result through the paper and provides when a Euclidean integrand can be represented as an integrand respect to -gradient.
3.14 Lemma**.**
Let be a Borel measurable function. Suppose that
- (i)
for a.e. , is convex*;*
- (ii)
there exist a non negative function and a positive constant such that for a.e.
[TABLE]
where denotes the coefficient matrix of -gradient in (3).
Then, satisfies (47).
Proof.
Let us prove that, for a.e. ,
[TABLE]
according to notation in section 3.2. Notice that (53) is equivalent to (47), that is, for a.e.
[TABLE]
By our assumptions, we can assume that, for a.e. , is a convex function and (ii) holds with . Let be affine with and for each . Let us prove that
[TABLE]
Let be given, then also for each . In particular, for each . Then, by (ii)
[TABLE]
The previous inequality implies (54). From (54), we get that
[TABLE]
From Lemma 3.13, (53) follows. ∎
Proof Theorem 3.12.
Let us first observe that inequality in assumption (e) can be extended to each , . Let us recall that, if , by Proposition 2.7, given a family of mollifiers, then, for each , denoting by its extension to being [math] outside , if
[TABLE]
for each with , we have
[TABLE]
[TABLE]
Let be such that for some . For each , by assumption (c), (56) and (57), it follows that
[TABLE]
Since is a measure, it is also inner regular (see Remark 3.10). Thus, taking the supremum on all with , we get the desired conclusion. We will now divide the proof in three steps.
1st step. Let us first prove that there exists an integral representation of with respect to a Euclidean integrand, that is, there exists a Borel function and a positive constant such that
[TABLE]
for each , with ;
[TABLE]
[TABLE]
[TABLE]
By (15), if , then, for a.e. , we have that
[TABLE]
with , since the coefficients of -gradient are Lipschitz on . By (62) and assumption (e), it follows that
[TABLE]
for each , for every . Therefore by (a), (b), (c), (d) and (63), by applying [DM, Theorem 20.1], there exists a Borel function satisfying (58), (59) and (60). Observe now that, by (58) and assumption (e), if , if follows that, for each ,
[TABLE]
From this integral inequality, arguing as in section 3.2, we can infer the pointwise inequality, that is, there exists a negligible set , such that, for each ,
[TABLE]
From (59), (64) and Lemma 3.14, (61) holds.
2nd step. Let us prove that there exists a Borel function such that
[TABLE]
for each , satisfying claims (ii) and (iii). By (59), (60) and (61), we can apply Theorem 3.5 and (65) follows at once with defined as in (44), which also satisfies claim (ii).
From assumption (e) and (65) with , it follows that
[TABLE]
Taking , applying Lebesgue’s differentiation theorem and arguing as before, from the previous inequality, we can get the following pointwise estimate: for a.e. it holds that
[TABLE]
Observe now that, by (LIC), for a.e. , the map , , is surjective. Then claim (iii) also follows.
3rd step. Let us prove that the integral representation in (65) can be extended to functions . Therefore claim (i) will follow.
Let us begin to observe that, given , the functional
[TABLE]
Indeed, since for a.e. , is continuous and claim (iii) holds, we can apply the Carathéodory continuity theorem (see, for instance, [DM, Example 1.22]).
Let and let with . Since , by (56), it follows that
[TABLE]
As is a measure, taking the limit as , we get
[TABLE]
for every , for each .
Let us fix and let us consider the functional
[TABLE]
It is easy to show that still satisfies assumptions (a)-(e). Thus, by the second step, there exists a Borel function satisfying claims (ii) and (iii) with , for suitable and such that
[TABLE]
for each , and
[TABLE]
for every , for each . Moreover, arguing as in (66), one can prove that, for each , the functional
[TABLE]
Let
[TABLE]
and fix . Then, for every with , as ,
[TABLE]
Thus, by (66), (67), (68), (69), (70) we obtain
[TABLE]
This implies that
[TABLE]
Taking the limit as in the previous identity, we get that
[TABLE]
If , and then, for every with , by Remark 2.6, there exists such that
[TABLE]
Since is local, by (71), we obtain that
[TABLE]
Taking the limit as we get
[TABLE]
which concludes the proof. ∎
3.15 Counterexample**.**
If agrees with the Euclidean gradient (Example 2.2 (i)), there are well-known examples that, dropping one of the assumptions among (a)-(e) in Theorem 3.12, then the conclusion may fail (see, for instance, [B]). Let be the Heisenberg vector fields in (Example 2.2 (iii)), let be a bounded open set containing the origin and . Then we give an instance that, dropping assumption (e), the conclusion of Theorem 3.12 may fail. Let be the local functional defined as
[TABLE]
Then, it is clear that satisfies (a)-(d). Let us prove that functional cannot satisfy claim (i). Indeed, by contradiction, if there is some integrand for which (i) holds, then, by Theorem 3.5, the compatibility condition (47) must be satisfied, that is,
[TABLE]
for a.e. . Since, by Lemma 3.3 (iii), function is continuous, the previous identity must hold for each and . Let , then a simple calculation yields that for each . Thus, if we choose , the previous identity is not satisfied and then we have a contradiction. This example also shows that the correspondence which maps integrand to Euclidean integrand cannot be reversed.
4. -convergence for integral functionals depending on vector fields
In this section we are going to show some results concerning -convergence of integral functionals depending on vector fields, in the strong and weak topology of and in the strong one of . In particular, we will prove a -compactness result for a class of integral functionals depending on vector fields with respect to -topology (see Theorem 4.11).
Let us first recall some notions and results concerning -convergence theory, which are contained in the fundamental monograph [DM] and to which we will refer through this section. We also recommend monograph [Bra] as exastuive account on this topic, containing also interesting applications of -convergence.
Let be a topological space and let be a sequence of functionals from the space to . Let be the family of open neighborhoods of . Then we pose for every
[TABLE]
[TABLE]
They are called, respectively, the -lower limit and *-upper limit *of the sequence in the topology .
Then, we give the following definition.
4.1 Definition**.**
Let and be functionals from space to . We say that * -converges to , or also that -converges to in the topology , at , *if
[TABLE]
and we write
[TABLE]
Let us recall below some relevant properties concerning -convergence that we will need later.
4.2 Theorem**.**
Let and be functionals from space to .
- (i)
[DM, Proposition 6.1]* If -converges to , then each of its subsequence still -converges to F.*
- (ii)
[DM, Proposition 6.3]* Let , , be two topologies on and suppose that is weaker than . If -converges to and -converges to , then .*
- (iii)
[DM, Theorem 7.8]* Fundamental Theorem of -convergence Assume that the sequence is equicoercive on X, that is, for each there exists a closed countably compact such that*
[TABLE]
Let us also assume that -converges to . Then is coercive and
[TABLE]
- (iv)
[DM, Proposition 8.1]* Assume that satisfies the first countability axiom. Then -converges to if and only if the following two conditions hold:*
- (1)
($$\Gamma-\liminf inequality* for any and for any sequence converging to in one has*
[TABLE]
- (2)
($$\Gamma-\lim equality* for any , there exists a sequence converging to in such that*
[TABLE]
- (v)
[DM, Theorem 8.5]* Assume that satisfies the second countability axiom, that is, there is a countable base for the topology . Then every sequence of functionals from to has a -convergent subsequence.*
4.3 Remark*.*
It is well-known that inequality in Theorem 4.2 (ii) can be strict, even in the case of a (infinite dimensional) Banach space , weak topology of and strong topology of (see, for instance, [DM, Example 6.6]). An instance of such a phenomenon can occur in the case of non-coercive quadratic integral functionals [ACM].
4.4 Definition** (-convergence for local functional on ).**
Let () be a sequence of increasing functionals. We say that the sequence -converges to a functional , and we will write , if is increasing, inner regular and lsc and the following conditions are satisfied:
for each , for every and converging to in , it holds
[TABLE]
for each , for each with , there exists converging to in with
[TABLE]
4.5 Remark*.*
Let us consider a sequence of increasing functionals (). Assume that there exists a measure functional such that -converges to for each . Then -converges to . Indeed, being a -limit, it is lsc (see [DM, Propostion 6.8]) and it is increasing and inner regular, because it is a measure. Moreover the and inequalities immediately follows by the characterization of -limit in Theorem 4.2 (iv).
4.6 Definition**.**
Let be a non-negative functional. We say that satisfies the fundamental estimate if, for every and for every , with , there exists a constant with the following property: for every , there exists a function , with on , in a neighborhood of , such that
[TABLE]
where . Moreover, if is a class of non-negative functional on , we say that the fundamental estimate holds uniformly in if each element of satisfies the fundamental estimate with depending only on , , , while may depend also on .
4.7 Remark*.*
Let us recall that, if and are measures, then need not be a measure (see [DM, Examples 16.13 and 16.14]). If the sequence satisfies the fundamental estimates uniformly with respect to , then is a measure (see [DM, Theorem 18.5]).
Let us now state a result which assures the coincidence between the and for a sequence of local functional , provided that the fundamental estimate holds uniformly for the sequence [DM, Theorem 18.7].
4.8 Theorem**.**
Let be a sequence of non-negative increasing functionals on which -converges to a functional . Assume that there exist two constants and , a non-negative increasing functional , and a non-negative Radon measure such that
[TABLE]
for every , and . Assume, in addition, that is a lower semicontinuous measure and that the fundamental estimate holds uniformly for the sequence . Then, -converges in to for every such that .
4.1. Convergence of integrands and -convergence for integral functionals depending on vector fields
In this section we will deal with integral functionals , with bounded open subset of and , of the form
[TABLE]
where the integrand belongs to class (i.e., satisfies , and in the Introduction).
It is easy to show, taking [DM, Proposition 5.12] into account, that the following -convergence results still hold.
4.9 Proposition**.**
Let and be functions in . Let be the corresponding integral functionals in (72). Assume that
[TABLE]
Then -converges to in , i.e.,
[TABLE]
The following theorem, in particular, shows that the pointwise convergence of the integrands also implies the -convergence of the corresponding integral functionals in the weak topology of .
4.10 Theorem**.**
Let and be functions in . Let be the corresponding integral functionals in (72). Assume that
[TABLE]
Then
[TABLE]
i.e., -converges to in the weak topology of .
The scheme of the proof trivially follows the one of [DM, Theorem 5.14] and we omit it.
4.2. -compactness results for integral functional depending on vector fields
The main result of this section is the following.
4.11 Theorem**.**
Let be a bounded open set and let satisfy (LIC) on . Let and, for each , let be the local functional defined as
[TABLE]
Then, up to a subsequence, there exist a local functional and such that
- (i)
(9) holds;
- (ii)
* admits the following representation*
[TABLE]
Let us begin to recall a fundamental result about the representantion of the -limit with respect to a Euclidean integrand [DM, Theorem 20.3], which applies to a large class of integral functionals. Let be real numbers with . Let us denote by the class of all local functionals for which there exist two Borel functions (depending on ) such that
- (a)
;
- (b)
;
- (c)
;
- (d)
is convex on ;
- (e)
,
for every , , .
4.12 Theorem**.**
For every sequence of functionals of the class there exist a subsequence and an increasing functional such that -converges to . The functional can be represented in integral form by a Euclidean integrand, that is, there exists a Borel function verifying
- (i)
* is convex on ;*
- (ii)
* for a.e. , for each ,*
*such that (10) holds. *
Let us also recall an useful criterion for proving that a class of local functionals on satisfies the fundamental estimate uniformly [DM, Theorem 19.4] and a -compacness result in this class [DM, Theorem 19.5].
4.13 Theorem**.**
Let () be non negative real numbers and let be a superadditive increasing set function such that for each . Let be the class of all non-negative increasing local functionals with the following properties: is a measure and there exists a non-negative increasing local functional (depending on ) such that is a measure and
[TABLE]
[TABLE]
for every , , with . Then, the fundamental estimate holds uniformly on .
4.14 Theorem**.**
Let be the class of local functionals defined in Theorem 4.13. For every sequence , there exists a subsequence which -converges to a lower semicontinuous functional .
Let us now introduce some results concerning functionals depending on vector fields. Let us first prove a -compactness result (see Theorem 4.16) for a class of local functional on satisfying suitable growth conditions with respect to the local functional defined as
[TABLE]
As a consequence, we will get a -compactness result for a class of integral functionals represented with respect to Euclidean integrands, but still with growth condition with respect to to (see Theorem 4.17). The former is an extension of [DM, Theorem 19.6], the latter of [DM, Theorem 20.4].
4.15 Lemma**.**
Let . Then is a measure and lsc.
Proof.
Let us start by proving that for any the function is lsc, i.e., for any and , in , it satisfies
[TABLE]
We can assume . Therefore, up to a subsequence, we can also assume that exists. Hence is bounded in and, since is reflexive (recall Proposition 2.5 and that ), we get a subsequence in and, in particular, in , which implies the conclusion, recalling the lower semicontinuity of the norm with respect to the weak convergence.
We now prove that for any the function is a measure, i.e., there exists a Borel measure such that for every . Since, by Remark 3.10, is nonnegative, increasing and such that , it suffices to prove that is subadditive, superadditive and inner regular.
is subadditive, namely for every with
[TABLE]
We can assume and , otherwise the conclusion is trivial. Remark 2.6 (ii) gives , therefore and (83) follows.
is superadditive, namely for every with and
[TABLE]
We can assume and , otherwise the conclusion is trivial. Remark 2.6 (iv) gives for any open set . Let , and . Then
[TABLE]
and (84) follows.
is inner regular, namely for every
[TABLE]
Let . If , there exists , such that as and the conclusion follows by observing that for all , . If , then for any , . Then, Remark (2.6) (iii) gives and, by definition, . For any there exists such that for any with . Let such that , then
[TABLE]
and the thesis follows. ∎
4.16 Theorem**.**
Let , be a bounded open set and . Denote by the class of local functionals such that is a measure and
[TABLE]
for every and for every . Then, the fundamental estimate holds uniformly in and every sequence has a subsequence which -converges to a functional of the class . Moreover, -converges to in and
[TABLE]
for every .
Proof.
Let us begin to prove that the fundamental estimate holds uniformly in . Let
[TABLE]
Notice that, since the entries of matrix are Lipschitz continuous functions,
[TABLE]
[TABLE]
and
[TABLE]
Thus, from (89), (90) and (91), arguing as in [DM, (19.6)], it follows that
[TABLE]
for every , , . We are going to apply Theorem 4.13. Observe that, choosing , from (86), (79) immediately holds with
[TABLE]
Let us show (80). By (92), it follows that
[TABLE]
for each , , with . Thus (80) holds with
[TABLE]
Thus we get the desired conclusion. From Theorem 4.14, every sequence has a subsequence -converging to a functional which is a measure. As each functional satisfies (86), the functional satisfies (86), since is lsc and inner regular by Lemma 4.15 and Remark 3.10. By applying Theorem 4.8, we get that -converges to in for each , since is bounded. Finally, by (86), (87) follows. ∎
Let and let , let be a bounded open set. Let us denote by the class of local functionals for which there exists a Borel function such that
- (i)
claim (a) of properties defining holds;
- (ii)
a.e. , for each .
4.17 Theorem**.**
For every sequence there exist a subsequence and a measure functional such that -converges to in and (87) holds for every . Moreover there exists a Borel function , convex in the second variable and satisfying (ii), for which (10) holds.
Proof.
By Theorem 4.16, for each there exist a subsequence and an inner regular functional such that -converges to in for every . Moreover, since is lsc and inner regular, for each , ,
[TABLE]
where is the local functional in (81). If is as in (88), , for suitable (). From Theorem 4.12 , there exists a Borel function , also convex in the second variable, for which (10) holds.
Let us now prove that (ii) of properties defining holds. Let be the function in (49). From (93), it follows that
[TABLE]
for each and . By means of the usual procedure, we can infer that there exists a negligeble set such that, for each ,
[TABLE]
Then, since is continuous a.e. , we can extend the previous inequality to all . ∎
4.18 Theorem**.**
Let be a bounded open set, let and, for each , let be the local functional defined in (77). Then, there exist a subsequence and a measure functional such that -converges to in and (87) holds for every . Moreover, there exists a Borel function , convex in the second variable, satisfying (ii) of properties defining , for which (10) holds.
Proof.
Let denote the sequence of Euclidean integrands in (8) and let be the sequence of local functionals in (7). Since , by applying Theorem 4.17, there exist a subsequence and a measure functional such that -converges to in for every . Moreover, there exists a Borel function , convex in the second variable, satisfying (ii), for which (10) holds.
By Theorem 3.1 (iii), it follows that, for each , ,
[TABLE]
where denotes the relaxed functional of with respect to the topology (see (22)). By (94) and a well-known property of -convergence (see [DM, Propostion 6.11]), we also get that -converges to in for every . ∎
4.19 Theorem**.**
Let be a bounded open set and let satisfy (LIC) on . Let and, for each , let be the local functional defined in (77). Assume that:
- (i)
there exists a measure functional such that -converges to in and (87) holds for each ;
- (ii)
there exists a Borel function , convex in the second variable, satisfying (ii) of properties defining , for which admits the integral representation in (10).
- (iii)
(87) holds for every .
Then, there exists for which admits the integral representation (78).
Proof.
Let us first notice that satisfies the assumptions of Lemma 3.14. Thus we can assume that it satisfies (47).
Let be the function in (44). Let us prove that . Properties and follow from Therem 3.5. Since satisfies (ii) of properties defining class , from (100), we can infer .
From Theorem 3.5 and Remark 3.8, admits the integral representation (78), but only for functions . We are going to extend this representation to all functions , by means of Theorem 3.12 about the integral representation of local functionals with respect to -gradient. Being a -limit, it is lsc (see [DM, Proposition 6.8]) and, by [DM, Proposition 16.15], it is also local and, by assumptions, a measure. Thus assumptions (a), (b) and (c) of Theorem 3.12 are satisfied. Let us prove assumtion (d). For every , we have whenever , . Then it is easy to see that this property also holds for the -limit . Let us now prove assumption (e). By the integral representation (10) and Remark 3.8, it follows that, for each ,
[TABLE]
which implies property (e). Thus there exists a Borel function satisfying property (i) and (ii) of Theorem 3.12. In particular, for each ,
[TABLE]
By (95) and Theorem 3.5, we get that for a.e. and for each . This concludes the proof. ∎
Proof of Theorem 4.11.
The proof immediately follows from Theorems 4.18 and 4.19. ∎
We now introduce two integrand function subclasses () for which the associated functionals in (5) are still compact with respect to - convergence in -topology. Let be a bounded open set and let us fix .
- •
is the subclass of composed of integrand functions which are quadratic forms with respect to , that is,
[TABLE]
with symmetric matrix .
- •
The subclass is composed by integrand functions such that , that is, is independent of .
4.20 Theorem**.**
Let be a bounded open set and let satisfy (LIC) on . Let () and, for each , let be the local functional defined in (77). Then, up to a subsequence, there exist a local functional and such that
- (i)
(9) holds;
- (ii)
* admits representation (78).*
Proof.
1st case. Let us first show the conclusion for the subclass .
Let . By definition, we can assume that
[TABLE]
where is a symmetric matrix satisfying
[TABLE]
[TABLE]
Applying Theorem 4.11, up to a subsequence, there exist a local functional and such that (9) holds and admits representation (78). We have only to prove that
[TABLE]
Notice that we can also assume that admits representation (10) with
[TABLE]
Moreover, by Theorem 3.5 (see (44) and (40)), it also holds the opposite representation, that is, for each ,
[TABLE]
with
[TABLE]
Let us now consider the sequence of Euclidean integrands
[TABLE]
and the related local functionals defined in (7). Since for each , by using well-known results of -convergence for quadratic functionals (see [DM, Theorem 22.1] and Remark 4.5, one can easily prove that there exists a symmetric matrix , with for each such that
[TABLE]
By (99), for each ,
[TABLE]
with
[TABLE]
symmetric matrix. Then turns out to be a quadratic form on , induced by the matrix for a.e. . Thus (98) follows.
**2nd case. ** Let us now deal with the subclass . Let . Notice that , , is a sequence of locally bounded, convex functions. Thus, by a well-known result (see, for instance, [DM, Proposition 5.11]), we can infer that is also locally equi-Lipschitz continuous. From Ascoli-Arzelà’ s theorem, we can assume that, up to a subsequence, there exists such that
[TABLE]
Let us define as
[TABLE]
Let us now prove that, for each ,
[TABLE]
Let us fix and . Since for a.e. , by (101), it follows that
[TABLE]
On the other hand, as
[TABLE]
by (103) and the dominated convergence theorem, (102) follows. We have only to prove that
[TABLE]
in order to get our desired conclusion. By (87), it is sufficient to prove (104) for each and for each . The inequality
[TABLE]
follows by noticing that, for each , by inequality and (102)
[TABLE]
Let us now prove the opposite inequality
[TABLE]
Let us first recall that, for each , by (102) and Proposition 4.9,
[TABLE]
Fix and let with . By the equality, there exists a sequence such that
[TABLE]
and
[TABLE]
By (109), we can assume that
[TABLE]
Let with . From Proposition 2.10 (ii), if , that is, on and outside, for each
[TABLE]
By (108), (110) and Proposition 2.10 (i), for given ,
[TABLE]
and
[TABLE]
In particular,
[TABLE]
Observe now that, by (111), for each , for each ,
[TABLE]
From (101), (112) and (113), it follows that, for given
[TABLE]
For given , by (107), (109), (114), and (116), passing to the limit in (115) as , it follows that
[TABLE]
Let us now show that
[TABLE]
Indeed
[TABLE]
and
[TABLE]
Since is continuous, from Vitali’s convergence theorem, (118) follows. By the semicontinuity of , with respect to the -topology, and by (118), we can pass to the limit as in (117) and we get
[TABLE]
Finally, taking the supremum in (119) on all with , we get (106). ∎
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