On the integral representation of variational functionals on $BD$
Marco Caroccia, Matteo Focardi, Nicolas Van Goethem

TL;DR
This paper establishes an integral representation for a broad class of variational functionals defined on functions with Bounded Deformation, under mild continuity conditions, advancing the theoretical understanding of such functionals.
Contribution
It provides a new integral representation result for variational functionals on BD spaces using the global relaxation method, with minimal continuity assumptions.
Findings
Proves an integral representation for variational functionals on BD
Uses the global relaxation method for the proof
Requires mild continuity conditions on the functionals
Abstract
Following the global method for relaxation we prove an integral representation result for a large class of variational functionals naturally defined on the space of functions with Bounded Deformation. Mild additional continuity assumptions are required on the functionals.
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On the integral representation of variational functionals on
M. Caroccia
DiMaI, Università di Firenze, and Scuola Normale Superiore di Pisa
,
M. Focardi
DiMaI, Università di Firenze
and
N. Van Goethem
Centro de Matemática e Aplicações Fundamentais, Universidade de Lisboa
Abstract.
Following the global method for relaxation we prove an integral representation result for a large class of variational functionals naturally defined on the space of functions with Bounded Deformation. Mild additional continuity assumptions are required on the functionals.
Key words and phrases:
, integral representation, relaxation, lower semicontinuity
Contents
-
3.3 On the Cantor part of the symmetrized distributional derivative
-
7 Comments on the assumption of invariance under superposed rigid body motion
1. Introduction
In linearized elasticity one route is to consider the displacement (or the velocity) field as basic model variable. In this case, the deformation (or strain) tensor of an elastic body is given by the symmetric gradient of , i.e., . Therefore, the study of well-posedness of the PDE system of linear elasticity was at the origin of the study of the differential operator and in particular its coerciveness properties, first analysed by Korn in 1906 [34] and followed by plenty of refinements to this date (see for instance [30] for a survey). In linearized elasticity, the variational approach consists in minimizing the stored elastic energy (which is quadratic in the strain) minus the work of the external forces. However, as soon as elasto-plasticity is considered, two main problems are faced: first, the observed stress-strain relation in plasticity is not linear anymore, resulting in a less-than quadratic, sometimes linear relation between the stored elastic energy and the strain. Here we refer to the pioneer work by Suquet on well posedness in perfect plasticity [46] itself based on preliminary work on the distributional operator of bounded deformation published in [45, 44, 49, 50, 33]. Specifically, in the above quoted works the authors study the properties of the differential operator where stands for the distributional derivative that generalizes the gradient to account for discontinuous fields . In this way the space of function with Bounded Deformation on the open subset of has been introduced as the space of vector fields whose symmetrized distributional derivative is a Radon measure (see [48, 1], see also section 3.2 to which we refer for the notation used in this introduction on maps). Moreover, is proven to be the density of the absolutely continuous part of .
The second issue arising in plastic problems is that concentration phenomena observed in plasticity require some weak notion of deformation that allow for slip or boundary concentration of strain for instance. Indeed, these effects are well handled in by the so-called singular part of the deformation measure field. It should also be said, that these aforementioned two issues are related, since a linear growth of the stored elastic energy prevents coerciveness in Sobolev spaces. Thus, bounds in the non-reflexive space require to consider limit of sequences in the space of Radon measures, and hence, again, justifies the choice of the space when dealing with elasto-plastic models. For these models, the associated general bulk stored elastic energy reads as the integral
[TABLE]
where has linear growth in the third variable and satisfies suitable assumptions (see Section 6.1), and is such that is absolutely continuous with respect to , namely . To account also for singular effects a more general energy expression reads as
[TABLE]
where has linear growth in the third variable, and satisfy suitable assumptions (see Section 6.2), and , the subspace of where the singular part of the measure is concentrated on the -rectifiable set of approximate discontinuity points (see Section 3.2 for the precise notation).
It is a classical problem in the Calculus of Variations to determine the lower semicontinuous envelope of the energies in (1.1) and (1.2) in order to find the limits of minimizing sequences lying in the larger space . More precisely, let be the functional either in (1.1) or in (1.2) if belongs to or respectively, and otherwise on . Then, the lower semicontinuous envelope of the functional , that is the greatest functional less or equal than which is lower semicontinuous, is given by
[TABLE]
provided some coercivity assumptions on the integrands are imposed (cf. [27]).
A suitable localized version of the functional to the family of open subsets of turns out to be a variational functional according to Dal Maso and Modica [17] naturally defined on the space (see Section 2.2 below and the discussion in what follows). Therefore, more generally, we consider variational functionals in this sense and prove for them in Theorem 2.3 an integral representation result following closely the celebrated global method for relaxation developed in Bouchitté, Fonseca and Mascarenhas [7] to deal with the analogous problem for functionals defined either on Sobolev spaces or on the space of functions with Bounded Variation (see [14] for an extensive survey of the subject and an exhaustive bibliography).
The integral representation result in Theorem 2.3 will be applied to the above mentioned relaxation problems for the functionals of the type (1.1) and (1.2). More precisely, in Theorems 6.1 and 6.9 we show that the resulting lower semicontinuous envelope has indeed an integral representation of the type
[TABLE]
for all . Here, denotes the (weak) recession function of the integrand . Moreover, a characterization of the energy densities and is given in terms of asymptotic Dirichlet problems involving itself with boundary values related to the infinitesimal behaviours of the function around the base point .
Apart from the usual lower semicontinuity (and therefore locality), growth conditions and measure theoretical properties to be satisfied by the functional (see assumptions (H1)-(H3) in Section 2), we impose two conditions expressing continuity of the energy functional with respect to specific family of rigid motions. More precisely, continuity with respect to translations both in the dependent and independent variable is stated in (H4). Such a condition is used for instance in [7] in the setting to express the energy density of the Cantor part in terms of the recession function of the bulk energy density. Additionally, in the current setting we need to require further assumption (H5), that expresses continuity of the energy with respect to infinitesimal rigid motions. In turn, this condition implies that the bulk energy density depends only on the symmetric part of the relevant matrix. Condition (H5) is crucial for our arguments both from a technical side and conceptually as we discuss in details in Section 7.
In this respect, we emphasize that all integral representation, relaxation, lower semicontinuity results available in literature for energies defined on (see e.g. [5, 24, 42, 22, 4, 35, 18]) are based on a stronger version of (H5) that imposes invariance of the energy with respect to infinitesimal rigid motions (cf. Remark 5.2). From a mechanical perspective such a condition reflects a restriction on the material behaviour. Therefore, it is preferable to avoid it, also because of its controversy in the continuum mechanics community (see [47, 40]). Note that the quoted invariance property with respect to superposed infinitesimal rigid motions would imply the integrands in (1) to be independent of . In our result, though, this explicit dependence is kept, as was the case in the setting [7]. Finally, let us point out that assumption (H5) is actually not needed to give a partial integral representation result on the subspace , or more generally on but only for the volume and surface terms of the energies, as already noticed in [24].
Further possible applications of our main theorem are in the field of homogenization problems (cf. Section 6.3), or more generally to problems in which the determination of variational limits in terms of -convergence of energies defined on are involved (see e.g. [16], [26, 13, 11]).
We mention that integral representation results for energies defined on distinguished subspaces of (in particular satisfying a different set of growth conditions different from (H2)) have been recently obtained either in the superlinear case in the dimensional framework in [14], or in the space of Caccioppoli affine functions in [29].
Let us now summarize the contents of the paper. In Section 2 we state Theorem 2.3 the main result of the paper, all the preliminaries needed to prove it are provided in Section 3. Section 4 focuses on the analysis of the Cantor part of the energy and more precisely on its integral representation. In turn, those results are used in Section 5 to establish Theorem 2.3. Applications of Theorem 2.3 to several issues related to energies with linear growth defined on are studied in Section 6. More precisely, the relaxation of variational integrals is the topic of Section 6.1, the lower semicontinuity either of bulk or of bulk and surface energies is investigated in Section 6.2, eventually Section 6.3 deals with the periodic homogenization of bulk type energies. In the final Section 7 an example of a quasiconvex function being bounded by the norm of the symmetric part of the relevant matrix, but on the other hand depending non-trivially also on the skew-symmetric part, is provided following a celebrated example by Müller [39, Theorem 1]. The issue of relaxation on for the associated bulk energy functional is discussed, highlighting the role of assumption (H5) to deduce Theorem 2.3 and related open problems.
2. Main result
2.1. Basic notation
The unitary vectors of the standard coordinate basis of will be denoted by . stands for the set of all matrices and , for the subsets of all symmetric and skew-symmetric matrices, respectively.
For a given a set we adopt the notation for the rescaled copy of size translated in . In particular, stands for any cube centered at , with edge length and with one face orthogonal to . We also adopt the convention that, whenever is omitted then for some , and the corresponding cube is oriented according to the coordinate directions.
In what follows, we shall often consider a function such that , referring to it as a modulus of continuity.
Finally, throughout the paper will denote a non empty, bounded, open subset of with Lipschitz boundary, and , denote the families of all the open subsets of and of all the open subsets of with Lipschitz boundary, respectively.
2.2. Framework and main result
We consider a class of local energies typically arising in variational problems: , and is the set of maps with Bounded Deformation (for the precise definition, the notation used in what follows, and several properties of functions see Section 3). We assume that the following properties are in force on :
- (H1)
is strongly lower semicontinuous for all 111In the rest of the paper, we shall write lower semicontinuous in place of strongly lower semicontinuous for the sake of simplicity.;
- (H2)
There exists a constant such that for every ,
[TABLE]
- (H3)
is the restriction to of a Radon measure for every ;
- (H4)
There exists a modulus of continuity such that
[TABLE]
for all , with ;
- (H5)
There exists a modulus of continuity such that
[TABLE]
for every , and for all .
Remark 2.1**.**
It is well-known that assumption (H1) implies locality of for all . Namely, if a.e. on then .
Remark 2.2**.**
Hypothesis (H5) implies that the energy depends only on the symmetric gradient (see formula (5) and Section 7 for more details).
Following the global method for relaxation introduced by Bouchitté, Fonseca and Mascarenhas in [7] we consider the local Dirichlet problem
[TABLE]
where is given, and prove the ensuing result.
Theorem 2.3**.**
Let be satisfying (H1)-(H5). Then, for all
[TABLE]
where for all
[TABLE]
[TABLE]
[TABLE]
and
[TABLE]
Note that is classically termed the weak recession function, in contrast to the strong recession function for which the limit is assumed to exists (see the comments in Section 6.1). Its finiteness is guaranteed by the linear growth of (see (5.1)).
We point out that the analogous result to Theorem 2.3 for functionals defined on the space of functions with bounded variation has been proven under the sole assumptions (H1)-(H4) (cf. [7, Theorems 3.7, 3.12]). A detailed discussion on the need of assumption (H5) in the setting is the topic of Section 7. Several comparisons with the case are discussed in Remarks 6.2 and 6.10.
3. Preliminaries
3.1. Some results of geometric measure theory
In the forthcoming blow-up procedure, it will be mandatory to obtain limits satisfying additional structural properties. To this aim we introduce some useful concepts of geometric measure theory. Let be either open or closed. Here and in what follows stands for the sets of all -valued Radon measures on , and for the subset of all -valued finite Radon measures on .
Let , , following [3] we say that locally weakly* converge to , and we write in , if
[TABLE]
If , , we say that weakly* converges to if the condition above holds for all . The following property holds true.
Lemma 3.1** (Proposition 1.62 (b) [3]).**
Let be locally weakly converging to in , and be locally weakly* converging to in . Then, , and for every relatively compact Borel subset of with .*
We use standard notations for the push-forward of measures, and in particular, given , and , we will often consider the push forward with the map defined as
[TABLE]
Preiss’ tangent space at a given point , is defined as the subset of non zero measures such that is the local weak* limit of , for some sequence as and for some positive sequence (see [38], [3], [43]). To ensure that the total variation is preserved along the blow-up limit procedure we recall the ensuing result.
Lemma 3.2** (Tangent measure with unit mass, Lemma 10.6 [43]).**
Let . Then, for -a.e. and for every bounded, open, convex set the following assertions hold
- (a)
There exists a tangent measure such that , ;
- (b)
There exists as such that in .
Finally, with the help of the next result, we will be able to select a blow-up with a partial affine structure.
Theorem 3.3** (Tangent measures to tangent measures are tangent measures, Theorem 14.16 [38]).**
Let be a Radon measure. Then for -a.e. any satisfies the following properties
- (a)
For any convex set , for all and ;
- (b)
* for all ;*
Note that the original result in [38, Theorem 14.16 ] is proven for . However, the good properties of tangent space of measures (i.e. [3, Theorem 2.44] or [43, Lemma 10.4]) allow to immediately extend its validity for generic .
3.2. Preliminaries on
We recall next some basic properties of the space needed for our purposes. We refer to [48] for classical theorems, while for the fine properties we refer to [1] (see also [23]).
The space of functions with Bounded Deformation on , , is the set of all maps whose symmetrized distributional derivative is a matrix-valued Radon measure. It is a Banach space equipped with the norm , where stands for the total variation of the Radon measure (see [3]). A sequence is said to strictly converge to in if
[TABLE]
as .
As shown by Ambrosio, Coscia and Dal Maso in [1], maps are approximately differentiable -a.e. in , the jump set is -rectifiable, and can be decomposed as
[TABLE]
where , is the approximate gradient of , denotes the jump of over the jump set , with the traces left by on , is a unitary Borel vector field normal to (here, , , , denotes the symmetrized tensor product), is the Cantor part of defined as and (cf. [1, Eq. (1.2), Definition 4.1]). Let be the complement of the set of points of approximate continuity of , [1, Theorem 6.1] implies that , so that , where
[TABLE]
The limits in the definition of can be taken with respect to any family , with a bounded, open, convex set containing the origin. We shall often use the previous characterization of throughout the paper.
The space of special functions of bounded deformation is then defined as
[TABLE]
The space is dense in for the strict topology on . Moreover, for an open bounded set with Lipschitz boundary, there exists a surjective, bounded, linear trace operator satisfying the following integration by parts formula: for every and ,
[TABLE]
with the unit external normal to . The trace operator is continuous if is endowed with the strict topology. For notational simplicity, in what follows will be denoted simply by itself.
With the same assumptions on , one also has the following embedding result: is compact for every . In view of compactness, the following holds for a bounded extension domain (cf [33], [48]): if is bounded in there exists a subsequence that converges to some with respect to the topology.
We recall next a Poincaré inequality for maps which has been proven in [1, Theorem 3.1], (see also [23, Theorem 1.7.11] and also [23, Lemma 1.4.1]). To this aim consider the space of infinitesimal rigid motions
[TABLE]
Theorem 3.4**.**
Let be a bounded, open, connected set with Lipschitz boundary, then
[TABLE]
Moreover, let be a linear continuous map which leaves the elements of fixed. Then there exists a constant such that for all
[TABLE]
In particular, for a bounded, open convex set , denoting by the unit normal vector to , let be the map defined as
[TABLE]
with
[TABLE]
and
[TABLE]
For maps we express the quantity in (3.8) in terms of the skew-symmetric part of the total variation measure.
Lemma 3.5**.**
Let be a bounded open set with Lipschitz boundary. Then, for all
[TABLE]
In particular, for all bounded, open, convex sets , and for all we have
[TABLE]
Proof.
To prove the first equality we use the divergence theorem for scalar functions [3, Corollary 3.89]
[TABLE]
for all , , to get for any fixed
[TABLE]
and moreover
[TABLE]
The very definition of in (3.8) and the previous computation provide the conclusion. ∎
Proposition 3.6**.**
* is an invariant set for .*
Proof.
If is affine, i.e. , and , we have by a simple computation. Furthermore, by taking into account that , Lemma 3.5 implies
[TABLE]
∎
As the trace theorem implies the continuity of , thanks to the previous result, Theorem 3.4 yields the existence of a constant depending only on such that for every
[TABLE]
Remark 3.7**.**
Let , where and a bounded, open, convex set containing the origin. Then, for a constant depending only on we have
[TABLE]
This follows from Hölder inequality, (3.9) and a scaling argument by considering , , and noting that , , and .
3.3. On the Cantor part of the symmetrized distributional derivative
Recently, the fine properties of functions have been complemented with the analog of Alberti’s rank-one theorem in the setting. More precisely, we recall the fundamental contribution by De Philippis and Rindler (cf. [21]).
Theorem 3.8**.**
Let . Then, for -a.e.
[TABLE]
for some Borel vector fields.
Next, we state a rigidity result for maps with constant polar vector that follows from that established in [20, Theorem 2.10 (i)-(ii)] by taking into account that the measure on the right hand side below is in addition positive (see also [20, Theorem 3.2]).
Proposition 3.9**.**
If is such that for some
[TABLE]
then
- (i)
if
[TABLE]
for some , , ;
- (ii)
if
[TABLE]
for some , , .
The next Lemma will be particularly useful when dealing with the anti-symmetric part of the gradient in the Cantor part of the measure (see (3.7) and (3.8) for the definitions of and , respectively).
Lemma 3.10**.**
Let be a bounded, open, convex set containing the origin. For any and for -a.e.
[TABLE]
Proof.
Let be fixed. As noticed in the preliminaries -a.e. is a point of approximate continuity for , thus as .
For the second part of the statement, we use the computation in [1, Theorem 6.5, Corollary 6.7] implying that for -a.e.
[TABLE]
where
[TABLE]
Let be a point for which (3.13) holds, and recall then that as . Define for any and for sufficiently small
[TABLE]
Arguing as in the proof of Proposition 3.6 it is immediate to see that is an invariant set for . In particular, thanks to Theorem 3.4 we infer for all that
[TABLE]
where the constant is independent from (this is obtained with a scaling argument similar to that in Remark 3.7). In particular, it follows that
[TABLE]
Therefore, by the triangular inequality we have
[TABLE]
and thus by the choice of it follows
[TABLE]
Notice that, the quantity defines a norm on , and thus for some constant depending only on the dimension, we have
[TABLE]
3.4. Change-of-base formulas
It is well-known that the chain rule formula does not hold in general for maps. We provide a simple variation of it that will be useful throughout the paper.
Lemma 3.11**.**
Let be invertible, let and set
[TABLE]
Then, and
[TABLE]
Moreover, if is an open convex set and we have
[TABLE]
Proof.
Let and define . Clearly, , with and . Hence, the symmetrized distributional derivative of is given by
[TABLE]
Finally, if we conclude by approximation of by smooth maps in the strict topology.
The last assertion follows from a direct computation. ∎
Remark 3.12**.**
We shall often use Lemma 3.11 to reduce ourselves to the case in which the two vectors , in the polar decomposition of (3.11) are actually given by and . To this aim the following remarks are useful. Let be given by
[TABLE]
for some and for non-parallel unit vectors, i.e. . Consider any invertible matrix such that , and the associated function
[TABLE]
Then, with . Furthermore, since
[TABLE]
we then have
[TABLE]
in turn implying both
[TABLE]
and
[TABLE]
In particular, we conclude that
[TABLE]
3.5. On the cell problem defining .
The next two results clarify the link between and . They have been originally proved in [7] in the setting and then straightforwardly adapted to the setting in [24].
Lemma 3.13** (Lemma 3.5, Remark 3.6 [7], Lemma 3.2 [24]).**
Let , and set . Then, for any bounded, open, convex set containing the origin we have
[TABLE]
Lemma 3.14**.**
There exists a constant such that for any ,
[TABLE]
Finally, we refine Lemma 3.14 as a consequence of assumptions (H4) and (H5). Following [7, Remark 3.10], for all bounded, open, convex set containing the origin, for every and for every small enough, hypothesis (H4) implies
[TABLE]
and, in turn, hypothesis (H5) implies
[TABLE]
for some constant depending on only.
4. Analysis of the blow-ups of the Cantor part
In this section we show how to select a suitable blow-up limit at Cantor type points. To this aim we fix some notation: let , we may assume to be extended to a map in being Lipschitz (cf. [23, Corollary 1.6.4]). By a slight abuse of notation we denote by the extended function.
With fixed a bounded, open, convex set containing the origin, for every and set . For sufficiently small, consider the associated rescaled functions given by
[TABLE]
where is defined in (3.6). Clearly, we may assume that for all , otherwise would be an infinitesimal rigid motion around (cf. Eq. (3.5) in Theorem 3.4). We analyze first basic compactness properties of the rescaled family .
Proposition 4.1**.**
For -a.e. there exist a sequence , a map , and a measure such that
- (i)
* converges to strictly in , *
- (ii)
* converges to weakly* in , , , , -a.e. in , and .*
Proof.
We prove the conclusion for all Lebesgue points of the polar vector . A simple computation shows that
[TABLE]
(recall the definition of in (3.1)) so that . Lemma 3.2 yields for a sequence that converges weakly* in to some , with , , and such that -a.e. in (for the last two claims see [3, Theorem 2.44], [43, Lemma 10.4]), then .
Moreover, by taking into account Remark 3.7 we get
[TABLE]
so that for some constant depending only on
[TABLE]
The compact embedding yields that we can extract a subsequence (not relabeled) with converging in to some limit map belonging to satisfying . Therefore, converge to weakly* in , and thus . The strict convergence in of to then follows at once. ∎
In what follows, any map given by Proposition 4.1 will be termed blow-up limit. If is a point of approximate differentiability or a jump point, usually introduced with a different definition of the rescaled maps, the blow-up limit is well-known to be unique. In turn, this implies that the Radon-Nikodým derivative of the functional with respect to in such points can be straightforwardly characterized in terms of asymptotic Dirichlet problems with boundary values given by the blow-up limit itself (cf. Lemma 3.13). In contrast, if is a point satisfying (3.11), usually referred to as a Cantor type point, the blow-up limit is in general not unique. In order to overcome this difficulty, a double blow-up procedure is performed. By means of this argument, we can reduce ourselves to the case of a two dimensional map which is affine in one direction.
The strategy of the proof is a slight variation of [22, Lemma 2.14], which is originally worked out in the context of generalized Young measures. We basically follow the lines of such proof by incorporating also the need of selecting a sequence preserving the mass along the blow-up process. We shall improve upon the structure of blow-ups in Proposition 4.6 in section 4.2.
4.1. A double blow-up procedure
We introduce some notation necessary for the blow-up procedure. Given a couple of vectors , (possibly ), consider an orthonormal basis of (thus for either if or if , and for either if or if ), then for all define the bounded, open, convex set containing the origin
[TABLE]
if , and otherwise if
[TABLE]
We underline that the role of and is not symmetric in the definition of (in this respect see the comments right before Case 1 in the ensuing proof). Moreover, we do not highlight the dependence of on not to further overburden the notation. In any case the specific choice of is not relevant for the arguments that follow.
With this notation at hand, we can state the key result to prove the integral representation of the Cantor part (recall the definitions of given in (3.1) and that of given in (4.1)).
Proposition 4.2** (blow-up at -a.e. point).**
Let . Then for -a.e. and for every there exist an infinitesimal sequence , vectors , bounded, open, convex set containing the origin (cf. (4.3) and (4.4)), and a map such that converge to strict in , where
[TABLE]
for some , , , and . Moreover, satisfies
[TABLE]
and
[TABLE]
Proof.
We divide the proof in two steps, each corresponding to a blow-up procedure.
First blow-up. We perform a first blow-up in a point satisfying all the conditions listed in (I)-(III) that follows. More precisely, consider the subset of points (so that is a point of approximate continuity of (see (3.3))) having the following additional properties:
- (I)
, for some vectors , and ;
- (II)
Proposition 4.1 holds true with if , where is any invertible matrix such that and , and if : we extract a subsequence (not relabeled) such that converge to some map strict in , with , converges weakly* in to some such that , , , -a.e. in , and ;
- (III)
for all .
Notice that the set of points where either (I) or (II) or (III) fails is -negligible thanks to Theorem 3.8, to the locality of Preiss’ tangent space to a measure, to Proposition 4.1 itself and to Theorem 3.3. Proposition 3.9 describes the structure of the blow-up limit in (II) in details:
- •
if : we can find two maps , and , such that
[TABLE]
- •
if : we can find a map , and , such that
[TABLE]
Thus, if we conclude by setting and with . Otherwise, if , we are forced to take a second blow-up to prove that (at least) one between the ’s can be taken affine.
Second blow-up if . First, we change variables by means of the invertible matrix introduced in item (II) above. Following Remark 3.12, with and , we consider the associated map
[TABLE]
We blow-up around a suitable point , distinguishing two cases depending on the distributional derivatives of the ’s. We note that the vectors and in the statement correspond exactly to the two vectors provided by the polar decomposition of at , and , respectively, if . In this case we also set , the latter set being introduced in (4.3). Instead, if and , then corresponds to and to , and . Finally, if both , we choose and and set (actually, the opposite choice would be fine as well).
Case : either or . Without loss of generality we may assume that . Set (the matrix has been introduced above), and select a point such that
- (a)
, and as ;
- (b)
Proposition 4.1 holds true: , for some sequence , converge to a map strict in with , and converges weakly* in to some such that , , , and -a.e. on , ;
- (c)
.
Since for -a.e. it holds
[TABLE]
conditions (c) is true for -a.e. . First, note that is non trivial by assumption; then if is the subset of points of full measure for which the previous two conditions hold true, we conclude that
[TABLE]
On the other hand, conditions (a)-(b) hold -a.e. on in view of Theorem 3.8, the decomposition of in (3.2), and Proposition 4.1 itself. Since the measures and are mutually singular, the measure is absolutely continuous with respect to , thus we conclude that (a)-(c) hold for -a.e. .
Then, fix a point for which (a)-(c) are satisfied, we show that the second blow-up limit satisfies
[TABLE]
for some , , and . We make a slight abuse of notation since the latter two quantities maybe different from those in the definition of , but as their role is inessential we keep the same symbols. To this aim, we split as follows
[TABLE]
where we have set
[TABLE]
and
[TABLE]
First, we claim that as
[TABLE]
Indeed, noting that
[TABLE]
On setting , and noting that is infinitesimal in view of the choice of above, if and , we conclude that
[TABLE]
which vanishes as (cf. item (b) above). Arguing similarly, we get that
[TABLE]
is infinitesimal for , as well (cf. item (c) above).
In conclusion, (4.8) implies that converges to [math] strongly in in view of Remark 3.7, and then the limit of is equal to that of . Moreover, the latter coincides with the limit of
[TABLE]
as and is infinitesimal. Thus, by the blow-up theory for functions (cf. [3, Proposition 3.77, Theorem 3.95]), Lemma 3.5 and Remark 3.7 we conclude (4.7) with
[TABLE]
Case : . In this case , where (the matrix has been introduced in item (II) above). Arguing as in Case 1, we select a point such that
- (a’)
;
- (b’)
Proposition 4.1 holds true: , for some sequence , converge to a map strict in with , and converges weakly* in to some such that , , , -a.e. on , and ;
- (c’)
for ;
- (d’)
.
Note that conditions (a’)-(c’) hold for -a.e. , and (d’) for a set of positive Lebesgue measure in as thanks to (3.16) and (II). As a consequence of all these conditions, as . Thus, by blowing-up the function at one such point along the sequence of radii given by (b’), we may infer that, up to extracting a subsequence not relabeled, converge strictly in to
[TABLE]
To get the latter formula, we use that in this setting and are , and that condition (c’) and Lemma 3.5 hold true.
Conclusion in case . Both in case and we have selected a point , a function and a measure satisfying: is affine in (at least) one direction between and (cf. (4.7)) and , , , -a.e. on , and .
Lemma 3.11 implies that \text{Tan}(Ew,\mathbb{B}^{t}y)=\mathbb{B}^{-1}\big{(}\mathbb{B}_{\#}^{t}\text{Tan}(E\tilde{w},y)\big{)}\mathbb{B}^{-t}. Therefore, by setting and \gamma:=\mathbb{B}^{-1}\big{(}\mathbb{B}^{t}_{\#}\tilde{\gamma}\big{)}\mathbb{B}^{-t} we deduce that and that in view of condition (III). Moreover, .
Let be a sequence of radii and of positive constants such that converge locally weakly* to in , and converge locally weakly* to on . Then, , by taking into account that . Thus, Lemma 3.1 yields
[TABLE]
Hence, in , and in . Furthermore, note that the rescaled maps converge strongly in to a map and converge weakly* to in , up to a subsequence not relabeled. Therefore, we find as measures on (cf. Remark 3.12). In view of Eq. (3.5) in Theorem 3.4, there is an infinitesimal rigid motion such that
[TABLE]
In addition, , so that in particular converge to strictly in . We complete the proof of (4.6) by deducing that from for all and the above mentioned strict convergence in . ∎
Remark 4.3**.**
Notice that the parallelogram produced by Proposition 4.2, along which the sequences converges strictly in to a function affine in one direction, has been chosen in a way that the short edge (the edge of size ) is oriented exactly in the direction of non-affinity of . The non-affine direction is exactly the one we need to control in order to conclude the representation Theorem 2.3 and thus, the fact that the parallelograms are well oriented plays a crucial role in the argument that will follow.
4.2. Finer analysis of the blow-up limits
We proceed next with the investigation of some properties of the blow-up limits provided by Proposition 4.2 that follow by exploiting their structure evidenced in Eqs. (4.5)-(4.6). Similar results are available in the setting in case the base point is either a point of approximate differentiability or a jump point. The analogue of the ensuing result is also well-known for functions (see for instance [3, Theorem 3.95]).
We will state some technical lemmas that will allow us to identify in a more precise way the blow-up limits. To this aim, for a function we denote by , the right and left traces in , , respectively. We start with the case .
Lemma 4.4**.**
Let , with , be a sequence of functions such that
[TABLE]
for some \bar{\psi}_{\rho}\in BV\big{(}(-\nicefrac{{\rho}}{{2}},\nicefrac{{\rho}}{{2}})\big{)},\bar{\beta}_{\rho}\in\mathbb{R}, . Assume also that
[TABLE]
Then, can be re-written as
[TABLE]
for some \psi_{\rho}\in BV\big{(}(-\nicefrac{{\rho}}{{2}},\nicefrac{{\rho}}{{2}})\big{)} with zero average such that is uniformly bounded in L^{\infty}\big{(}(-\nicefrac{{\rho}}{{2}},\nicefrac{{\rho}}{{2}})\big{)} and
[TABLE]
Proof.
Set R_{\rho}:=\big{(}-\nicefrac{{\rho}}{{2}},\nicefrac{{\rho}}{{2}}\big{)}\times\big{(}-\nicefrac{{1}}{{2}},\nicefrac{{1}}{{2}}\big{)}^{n-1}, and let be any invertible matrix such that and mapping onto . Namely, . By invoking Lemma 3.11 and Remark 3.12 we can infer that
[TABLE]
satisfies and
[TABLE]
with , . Moreover , and
[TABLE]
Step : Identification and properties of and . Condition is equivalent to (see (3.7) for the definition of and (3.8) for that of ). In turn, from these equalities we get that
[TABLE]
Thanks to Lemma 3.5 we get
[TABLE]
and
[TABLE]
Therefore, recalling that \mathbb{M}_{R_{\rho}}\big{[}\tilde{\mathbb{L}}_{\rho}y\big{]}=\tilde{\mathbb{L}}_{\rho}y, we conclude that for every
[TABLE]
where we have set
[TABLE]
In particular, by defining
[TABLE]
has zero average, and
[TABLE]
Moreover, from the very definitions of , and we see that
[TABLE]
Let be -measurable, then
[TABLE]
In particular, if by exploiting (4.10) we conclude
[TABLE]
Step : The value of . Let , then from (4.2) we deduce that
[TABLE]
Hence, and are monotone non-decreasing functions.
Thus, thanks to the definition of we infer that as
[TABLE]
In conclusion, we get
[TABLE]
Step : Inverse change of variables and conclusion. By combining (4.12) and (4.15) we are thus led to
[TABLE]
Due to the very definition, , thus we get that
[TABLE]
Finally, by taking into account that is monotone non-decreasing with zero average we get (by [3, Remark 3.50] and a simple scaling argument)
[TABLE]
The statement for then follows at once. ∎
Similarly, we can characterize the case .
Lemma 4.5**.**
Let , with , be a family of functions such that
[TABLE]
for some , , \bar{\psi}_{\rho}\in BV\big{(}(-\nicefrac{{\rho}}{{2}},\nicefrac{{\rho}}{{2}})\big{)}. Assume also that,
[TABLE]
Then, can be re-written as
[TABLE]
for a non-decreasing function \psi_{\rho}\in BV\big{(}(-\nicefrac{{\rho}}{{2}},\nicefrac{{\rho}}{{2}})\big{)} with zero average. Moreover, is uniformly bounded in L^{\infty}\big{(}(-\nicefrac{{\rho}}{{2}},\nicefrac{{\rho}}{{2}})\big{)}, and
[TABLE]
Let us summarize the results contained in Proposition 4.2, Lemma 4.4 and Lemma 4.5 in the following statement (see (4.1) for the definition of , and Eqs. (4.3), (4.4) for those of ).
Proposition 4.6** (Selecting a good blow-up -a.e.).**
Let . Then for -a.e. there exist vectors , , as , and for all a sequence , with as , a bounded, open, convex set containing the origin and a function such that converge to strictly in as , with
- (a)
if :
[TABLE]
for some map \psi_{j}\in BV\big{(}(-\nicefrac{{\rho_{j}}}{{2}},\nicefrac{{\rho_{j}}}{{2}})\big{)} with zero average such that
[TABLE]
- (b)
if :
[TABLE]
for some non-decreasing map \psi_{j}\in BV\big{(}(-\nicefrac{{\rho_{j}}}{{2}},\nicefrac{{\rho_{j}}}{{2}})\big{)} with zero average such that
[TABLE]
Proof.
We prove the result for the subset of points for which Proposition 4.2 holds true. In particular, . One such point being fixed, note that given any infinitesimal sequence we can extract a subsequence (not relabeled) along which the maps provided by Proposition 4.2 are affine in one single direction (either or ) provided in the statement. Without loss of generality we denote such a direction by to be coherent with the notation of Proposition 4.2 itself.
Assume first . Thanks to Proposition 4.2 we can find a sequence of scales such that the rescaled maps converge strictly in to a map as in the statement there. By using Lemma 4.4 we conclude.
Finally, if we argue similarly by using Lemma 4.5 rather than Lemma 4.4. ∎
5. Proof of the main result
We first recall the results in [24, Theorem 3.3, Remark 3.5]. The original statement concerns integral representation of the volume and jump energy densities of functionals satisfying (H1)-(H4) and a more stringent version of (H5) (cf. Remark 5.2) and for functions in the subspace . In what follows we state the result for the full space . Indeed, the same proof works with no difference since it is obtained via the global method for relaxation, hinging on a blow-up argument and the characterization of the energy densities in terms of the Dirichlet cell formulas defining . We notice that (H4) and (H5) are actually not needed for the integral representation of the bulk and surface terms of the energy.
Lemma 5.1**.**
Let be satisfying (H1)-(H3). Then, for every
- (a)
for -a.e.
[TABLE]
where denotes the function defined in (2.5);
- (b)
for -a.e.
[TABLE]
where denotes the function defined in (2.6),
It should be noted that Lemma 5.1 and the lower semicontinuity of the integral on implies that the Borel functions and are respectively quasiconvex (see [3, Definition 5.25], see also formulas (5.3), (5.4) below) and elliptic (see [3, Definition 5.13]).
By taking into account (H2), we conclude that there exists a constant such that for every
[TABLE]
and that for every
[TABLE]
Several other properties of and can be inferred according to the invariance properties satisfied by the functional (cf. [7, Remark 3.8]). For instance, assumption (H5) implies that depends only on the symmetric part of the relevant matrix. Indeed, from (3.18) we immediately deduce, for all , (thanks also to item (a) in Lemma 5.1) that
[TABLE]
Therefore, in this case we deduce that is symmetric quasiconvex. Namely, for every bounded open set , for a.e. , for all and for all
[TABLE]
or, equivalently, for all that are -periodic, it holds
[TABLE]
Remark 5.2**.**
If, in addition, we strengthen (H5) to
[TABLE]
for every , then the cell formulas imply f\big{(}x,\mathrm{v},\frac{\mathbb{A}+\mathbb{A}^{t}}{2}\big{)}=f\big{(}x,\frac{\mathbb{A}+\mathbb{A}^{t}}{2}\big{)} and .
5.1. Preliminary lemmas
We now exploit the result in Section 4, in particular Proposition 4.6, to deduce the asymptotic behavior of the energy around -a.e. point along the same line developed in [7, Lemma 3.9]. We keep the notation introduced in Proposition 4.6 and to simplify it we set and (for the definition of see (3.6)).
Lemma 5.3**.**
Let satisfy (H1)-(H4). Then, for every and for -a.e there exist a sequence infinitesimal as , and for all an infinitesimal sequence as , such that
[TABLE]
where
[TABLE]
Proof.
We consider the subset of points of for which Proposition 4.2 (and hence Proposition 4.6) is valid. For one such point consider the corresponding vectors and . Note that by Lemma 3.13 for any
[TABLE]
Case 1: . By Proposition 4.6 we have that for every
[TABLE]
Define, for some constant to be specified in what follows, the functions
[TABLE]
As by Remark 3.7
[TABLE]
we have by Lemma 3.14
[TABLE]
By taking the superior limit in we thus get
[TABLE]
recalling that P_{j}^{x_{0}}=\big{\{}y\in\mathbb{R}^{n}:\,|y\cdot\eta|\leq\nicefrac{{\rho_{j}}}{{2}},\,|y\cdot\xi|\leq\nicefrac{{1}}{{2}},\,|y\cdot\zeta_{i}|\leq\nicefrac{{1}}{{2}}\,\,i=1,\ldots,n-2\big{\}}, and that and depend on .
By choosing , since , the first two summands in the last inequality are then null. Therefore, we have
[TABLE]
where we have used that is equi-bounded in L^{\infty}\big{(}(-\nicefrac{{\rho_{j}}}{{2}},\nicefrac{{\rho_{j}}}{{2}})\big{)}, and that are boundary trace values to infer , for some universal constant . In conclusion, we have proved that
[TABLE]
so that (5.8) yields
[TABLE]
Finally, recalling the definition of in (5.7) and of in (5.9), by estimate (3.5) we have
[TABLE]
and (5.6) then follows at once from (5.10) by letting , in view of the choice .
Case 2: . Suppose, without loss of generality that . We argue as in Case 1. For the sequences , provided by Proposition 4.6 we have that
[TABLE]
By setting
[TABLE]
for
[TABLE]
we conclude that
[TABLE]
We again combine this equality with (5.8) to conclude. ∎
We now use assumption (H5) to prove a lower bound for the cell formula computed on affine functions as done in [7, Lemma 3.11].
Lemma 5.4**.**
Let satisfy (H1)-(H5). For all , , , and for every sequence such that and , and for every , it holds
[TABLE]
where , is defined either in (4.3) or (4.4) according to whether or not, and is the volume energy density defined in item (a) of Lemma 5.1.
Proof.
We start off noting that , where . Then, in view of (H5) formula (3.18) implies
[TABLE]
Hence,
[TABLE]
For the last inequality we have used [7, Lemma 3.11]. Moreover, since by (5)
[TABLE]
the conclusion follows at once. ∎
Before proving Theorem 2.3, we note that the continuity estimate on contained in (3.5), deduced as a consequence of (H4), implies both
[TABLE]
and
[TABLE]
for all .
These properties are instrumental already in the setting to express the Radon-Nikodým derivative of at with respect to in terms of an energy density computed on relevant quantities related to the base function itself. In particular, by taking such properties into account, one can prove that the recession function of the bulk energy density is actually the energy density of the Cantor part.
5.2. Proof of the integral representation result
Proof of Theorem 2.3.
The representation of the volume and surface energy densities is dealt with in Lemma 5.1.
We then turn to the representation of the energy density of the Cantor part. For -a.e. point we may apply Lemma 5.3 (in what follows we keep the notation introduced there) and find infinitesimal sequences , such that
[TABLE]
On setting
[TABLE]
and , we have . Note that as for all as . Moreover, recall that is a point of approximate continuity of .
Next we note that
[TABLE]
By taking into account and as thanks to Lemma 3.10, the latter estimate combined with (5.13) leads to
[TABLE]
With fixed and , by applying Lemma 5.4 with and , Eq. (5.2) implies
[TABLE]
Hence, by taking the superior limit as we infer
[TABLE]
On the other hand, using as a competitor in the cell problem defining
[TABLE]
the affine map itself, we can apply item (a) in Lemma 5.1 to deduce
[TABLE]
Since, as for all , we deduce that
[TABLE]
that combined with (5.2) and (5.15) finally leads to
[TABLE]
A standard monotone approximation technique provides the following extension of Theorem 2.3 (see Section 7 for a similar argument).
Corollary 5.5**.**
Let be satisfying (H1), (H3), (H4), (H5) and in place of (H2)
- (HH2)
there exists a constant such that for every
[TABLE]
Then, the conclusions of Theorem 2.3 hold for all .
Proof.
Let , and consider the functionals be defined by . Since satisfies all the conditions (H1)-(H5) of Theorem 2.3 there are two functions and such that can be represented as in the statement there. The family of functionals is pointwise increasing in , therefore there exist the pointwise limits of and of as (note that from the very definition of recession function ). As is pointwise converging to for on for all , we conclude that the integral representation with energy densities , and for the bulk, surface and Cantor parts, respectively, holds for . ∎
6. Some applications
Following [7, Section 4] we provide some applications of the integral representation Theorem 2.3 to the topics of relaxation of bulk energies, of bulk and interfacial energies, to that of lower semicontinuity of functionals defined on , and to that of homogenization of bulk energies.
Throughout the section, for all and we denote the cubes by , and moreover by .
6.1. Relaxation and lower semicontinuity of bulk energies
In this section we address the issue of giving an explicit expression to the lower semicontinuous envelope of a linearly growing functional defined on smooth maps, for instance .
Theorem 6.1 below generalizes to the results proven in [5] and [24] on . In particular, in [5] a continuous autonomous integrand (i.e. depending only on the symmetric gradient) is considered, the integral representation is then given in terms of the symmetric quasiconvex envelope of (see the definition below) and its associated recession function. In addition, Theorem 6.1 also generalizes partially the results on established in [42] and [4, Corollary 1.10], [35, Theorem 1.4]. Note that in the former, also a Dirichlet boundary condition is considered, while in the last two integral representations of the weakly* lower semicontinuous envelope of functionals with linear growth at infinity are provided for more general PDEs constraints on the approximating sequences.
We stress that in the ensuing result, the strong recession function is not required to exist, and that the integrand is allowed to depend also on and . Moreover, global continuity is replaced by the weaker condition (H2’).
Let be a Borel integrand satisfying:
- (H1’)
there exists a constant such that for every
[TABLE]
- (H2’)
there exists a constant such that for every there exists such that
[TABLE]
for every .
Let then be the functional defined by
[TABLE]
namely the lower semicontinuos envelope of the functional
[TABLE]
We denote by the cell formula defined in (2.4) and related to , and recall the notation introduced in (2.8). We also recall that stands for the (weak) recession function as defined by (2.7).
Theorem 6.1**.**
Let be the functional defined in (6.3). Then, assuming (H1’)-(H2’), the functional defined in (6.2) is represented by
[TABLE]
for all , where for every
[TABLE]
and for every
[TABLE]
Remark 6.2**.**
Assumption (H2’) implies that satisfies (H4). Instead, in the -setting, the ensuing weaker assumption (H3’) replaces (H2’) in [7, Section 4.1]:
- (H3’)
there exists a constant such that for every there exists such that
[TABLE]
for every .
The latter condition and a truncation argument (cf. [7, Lemma 2.6]) are employed both to simplify the minimum problems defining and with respect to the -variable (cf. equations [7, (4.1.5) and (4.1.6)], and also to dispense with the analogue of (H4). Therefore, since the integral representation result in the setting cannot be directly applied, the quoted truncation argument and the analogue of Lemma 5.3 are central to give an explicit formula for the energy density of the Cantor part of the relaxed functionals analogous to (cf. Eq. [7, (4.1.7) in Theorem 4.1.4] and [7, Remark 4.1.5]). Instead, since truncations are not permitted in the current setting, we need the stronger assumption (H2’) to enforce (H4).
Remark 6.3**.**
In order to prove the integral representation of over the subspace only, assumption (H2’) is actually not needed and (H1’) can be weakened. Indeed, to that aim one can allow for to depend also on the skew-symmetric part of the given matrix in view of Lemma 5.1 (cf. Section 7). Clearly, formulas (6.4) defining and (6.5) defining have to be changed accordingly.
Remark 6.4**.**
In view of the density of in with respect to the strict topology with assigned boundary trace (cf. [5, Theorem 2.6]), the space can be substituted with in the minimum problems defining and .
Therefore, the same conclusions of Theorem 6.1 can be drawn if we consider the functional for , and otherwise on . Then the space of test maps for the minimum problems defining and in (6.4) and (6.5) respectively, is .
The main steps to prove Theorem 6.1 are similar to those exploited for the analogous result in the setting in [7, Section 4.1] to which we refer. Therefore, we provide only a sketch of those proofs for which some changes are needed.
Lemma 6.5** (Lemma 4.1.3 [7]).**
Assume (H1’)-(H2’). Then, satisfies (H1)-(H5), and for all
[TABLE]
Proof.
Assumptions (H1), (H2) and (H5) are easily checked to be satisfied by in view of (H1’) and the very definition of . Instead, (H4) follows from (H2’). For what concerns (H3) one can argue similarly to [5, Proposition 3.9].
The inequality follows from . For the opposite, one uses the very definition of as the relaxation of together with the version of the De Giorgi’s averaging/slicing lemma stated in [5, Proposition 3.7]. ∎
By means of the alternative characterization of provided by , of Theorem 2.3, of the results in Section 4 and of a change of variable, Theorem 6.1 follows at once.
If an additional quantified closeness condition between computed on large gradients and is added, formula (6.5) defining can be simplified. The ensuing claim (6.6) is well-known in the in the case (cf. [7, Theorem 4.1.4]).
Corollary 6.6**.**
Under the assumptions and notation of Theorem 6.1 and in addition
- (H4’)
on setting for any and
[TABLE]
*then is infinitesimal as , *
the function in Eq. (6.5) in the conclusions of Theorem 6.1 is characterized alternatively by
[TABLE]
Furthermore, we deal with the -independent case for which (H4’) is actually not needed (cf. [28, Remark 2.17] for the analogous result in the setting). We start off with a preliminary result.
Corollary 6.7**.**
Under the assumptions and notation of Theorem 6.1, if the integrand satisfies for every , then
[TABLE]
for every .
Proof.
We start off defining
[TABLE]
where is given by (6.4). Note that is -independent as for all . Moreover, , for all , by using the linear function itself as a test in (6.4) and (H2’).
Denote by the lower semicontinuous envelope of . Then, implies that on , and since on and otherwise, we conclude that . Therefore, equality (6.5) defining holds with in place of in the minimum problem there. In passing, we point out that the invariance of implies that , as well (cf. Remark 5.2).
Let us first prove that g(x_{0},\mathrm{v}^{+}-\mathrm{v}^{-},\nu)\geq f^{\infty}\big{(}x_{0},(\mathrm{v}^{+}-\mathrm{v}^{+})\odot\nu\big{)}. Let form an orthonormal basis of and set
[TABLE]
and
[TABLE]
In particular, note that , where
[TABLE]
We then argue as follows
[TABLE]
where for the second equality we have used Remark 6.4, and for the last, Eq. (6.7). Using the characterization of symmetric quasiconvexity expressed in (5.4) we conclude from (6.1) that
[TABLE]
To prove the opposite inequality, consider the affine function in (6.7), extend it by -periodicity in the directions , , and extend it further by if (with a slight abuse we keep the same notation for the extended function). Next let have the same trace of on (cf. [5, Theorem 2.6]), extend it by -periodicity in the directions , , and then extend it by on the complement set (again we keep the same notation for the extended function). Let and and fix a cut-off function such that . Define and use it as a test function in the minimum problem in (6.5). Note that if . A simple computation yields,
[TABLE]
thus using (H1’), a simple scaling argument and periodicity give for some as
[TABLE]
We conclude
[TABLE]
by letting first and then in the latter inequality. ∎
In view of the previous corollary we are able to characterize explicitly the relaxed functional in the -independent case. Additionally, as a consequence, we are also able to deal with the issue of lower semicontinuity on . In particular, we improve upon [42] and [4, Corollary 1.10] (in the curl-curl case according to terminology used there) dispensing with the existence of the strong recession function. Note that is allowed to depend on and that the full continuity of is not required, being replaced by the weaker assumption (H2’).
To state the result recall that given a Borel function, its symmetric quasiconvex envelope is defined to be
[TABLE]
Clearly, is symmetric quasiconvex if and only if . Finally, if we write for all .
Corollary 6.8**.**
Let be a Borel function satisfying (H1’)-(H2’). Let be the functional defined in (6.3) corresponding to .
Then, for all
[TABLE]
In particular, if is a Borel symmetric quasiconvex satisfying (H1’)-(H2’), the functional defined by
[TABLE]
if and otherwise, is lower semicontinuous.
Proof.
We start off noting that by (6.4), by inequality , and by the symmetric quasiconvexity of we get
[TABLE]
As noticed in Corollary 6.7, the bulk energy density is symmetric quasiconvex and . Thus, by the very definition of , we get . Therefore, the representation for in (6.9) is attained thanks to Corollary 6.7.
Finally, the lower semicontinuity of in (6.10) follows at once. ∎
6.2. Relaxation of bulk and interfacial energies
In this section we consider linear functionals defined on the subspace and provide a relaxation result for them. To our knowledge this is the first result of this kind.
We introduce the notation required for our purposes following [7, Section 4.2]. Let and be continuous integrands such that
- (H1”)
there exists a constant such that for every
[TABLE]
- (H2”)
there exists a constant such that for every there exists such that
[TABLE]
for every ;
- (H3”)
there exist , such that for every
[TABLE]
- (H4”)
there exist , such that for every ;
[TABLE]
Let then be the functional defined by
[TABLE]
namely the lower semicontinuos envelope of the functional
[TABLE]
Denote by the cell formula defined in (2.4) related to . We provide next an integral representation result for
Theorem 6.9**.**
Let be the functional defined in (6.13). Then, assuming (H1”)-(H4”), the functional defined in (6.12) is represented by
[TABLE]
for all , where for every
[TABLE]
and for every
[TABLE]
Remark 6.10**.**
In the setting under study in [7] conditions (H3”) and (H4”) are additionally used to simplify the analogue of formulas (6.9) for and (6.9) for thanks to the truncation argument quoted in Remark 6.2 (cf. equations [7, (4.2.3) and (4.2.4) in Theorem 4.2.2]).
Remark 6.11**.**
Formulas (6.9) for and (6.9) for can be expressed in terms of the recession functions of at , , and the recession function of at [math], , provided some further technical conditions in the spirit of (H3’) in Corollary 6.6 are imposed (cf. Eq. [7, (4.2.3)’ and (4.2.4)’ in Remark 4.2.3]).
The proof of Theorem 6.9 is similar to the corresponding one of [7, Theorem 4.2.2]. First, we note that arguing as in Lemma 6.5 one can prove the following result.
Lemma 6.12**.**
Assume (H1”)-(H4”). Then, satisfies (H1)-(H5), and for all
[TABLE]
The alternative characterization of via , Theorem 2.3, the results in Section 4 and a change of variable provide the proof of Theorem 6.9.
We give next an explicit application of Theorem 6.9.
Corollary 6.13**.**
Let be a Borel, symmetric quasiconvex function satisfying (H1”)-(H2”).
If is the functional in (6.13) corresponding to and , then
[TABLE]
if and otherwise.
Proof.
We start off defining
[TABLE]
Denote by the lower semicontinuous envelope of . Note that , therefore . On the other hand, Corollary 6.8 shows that coincides with the right hand side of (6.16), therefore , and then . ∎
6.3. Homogenization
In this section we briefly show how to apply Theorem 2.3 to a homogenization problem in . More precisely, we identify the -limit of the family of functionals , , given by
[TABLE]
where is any Borel function satisfying
- (Hom)
is -periodic for all and
[TABLE]
for all and for some universal constant .
Homogenization type problems are well-known, the literature on the topic is very rich, we refer to the book [9] for an exhaustive introduction in particular in the case of variational energies defined on Sobolev spaces (see also [16] for more classical results), to [10] for homogenization issues related to energies defined on suitable subspaces of , to [6], to [19] and to [7, Section 4.3] for energies defined on , and to [37] for linear growth functionals in the setting of -quasiconvexity under additional conditions both on the differential operator , ruling out the - setting considered in this section, and on the density , i.e. is Lipschitz continuous uniformly in .
For energy densities convex for all , the homogenization of the energies in (6.17) on has been investigated in [6, Theorem 3.2] by duality methods. In this subsection, we extend such a result to the general case under the sole assumption (Hom) thanks to the global method for relaxation. In this perspective, Corollary 6.8 and [2, item (ii) of Lemma 4.3] will be instrumental.
In addition, let us remark that the argument used in Theorem 6.14 below works also in the setting of homogenization of bulk energies defined on , thus recovering the results contained in [6, Theorem 3.1], for convex for all , and in [19, Theorem 4.7], for continuous for -a.e. , via the global method for relaxation without any additional assumption on than (Hom). Finally, we remark that [7, Section 4.3] deals with the analogous problem in for energies consisting more generally of the sum of a volume and of a surface term. We shall not deal with that more general setting here, that will be the object of further studies. Despite this, our result for the homogenization of bulk integrals seems to be new for what the regularity of is concerned in the setting, as well.
We recall for the reader’s convenience the definition of -convergence for a family of functionals defined on a metric space : -converges to if for every infinitesimal sequence the ensuing two conditions are satisfied
- (i)
For all and for all it holds ;
- (ii)
For all there exists such that .
We refer to the books [16], [8], and to the survey [25] for several properties of -convergence in metric spaces.
In what follows, we use the short hand notation for the piecewise constant function defined in (2.8).
We are now ready to prove the following homogenization result.
Theorem 6.14**.**
Let be a Borel function satisfying (Hom).
The family defined in (6.17) -converges to the functional given for by
[TABLE]
and otherwise on , where is defined by
[TABLE]
and where denotes the recession function of .
The first part of the proof of Theorem 6.14 is a simplification of that of [7, Theorem 4.3.1] since we deal only with bulk energies (cf. Steps 1 and 2). For this reason, we give a concise proof providing precise references whenever details are omitted. Instead, the second part is based upon a homogenization type argument contained in [2, item (ii) of Lemma 4.3] (cf. Step 3).
Proof.
We divide the proof in intermediate steps for the sake of convenience.
We start off recalling some abstract compactness properties that follows from the general theory of -convergence (cf. [16, Chapters 14, 16, 18]). In view of the growth condition on in (Hom), with given any sequence , we can extract a subsequence such that the -limit of exists for all (cf. [16, Propositions 16.9, 18.6], and [7, Lemma 4.3.4]). For the sake of notational convenience we denote the subsequence simply by and by the corresponding -limit.
In what follows, we shall show that does not depend on the chosen subsequence, thus proving that the -limit of the family exists by Urysohn’s property (cf. [16, Proposition 16.8]). To prove that, we shall first show that each functional introduced above satisfies the assumptions of the integral representation Theorem 2.3, and then we shall identify its energy densities with for the absolutely continuous part, and with for the singular part.
Step : Integral representation of . We start off noting that [10, Lemma 3.7] (see also [7, Lemma 4.3.3]) implies that satisfies (H4) and (H5), namely one can prove that
[TABLE]
for all , with . The very definition of gives immediately (H1), (Hom) implies (H2), and finally arguing as in [7, Lemma 4.3.4] together with [5, Proposition 3.7] yields (H3).
In particular, we can apply Theorem 2.3 to deduce that can be represented as
[TABLE]
where and are identified by the cell formulas (2.5) and (2.6), respectively. Indeed, on account of Eq. (6.20) with , Remark 5.2 implies that f\big{(}x,\mathrm{v},\mathbb{A}\big{)}=f\big{(}x,\mathbb{A}\big{)} and . Instead, if in Eq. (6.20) one chooses and , we infer that and do not depend on .
Finally, since is translation invariant we may assume that , this will simplify the notation in the sequel.
Step : . First we claim that the limit defining exists finite for all . Indeed, with fixed , the proof of such a claim follows by applying the global ergodic theorem in [36, Theorem 2.1] (or [36, Theorem 3.1]) to the -invariant subadditive process defined by (for more details cf. Eq. (4.3.15) in [7, Lemma 4.3.7] and [7, Lemma 4.3.6]). In particular, we note that the conclusions of [36, Theorem 2.1] are true also for subadditive processes defined only on bounded open sets with Lipschitz boundary, as outlined in the remark at the end of [36, Section 2.1].
For and , consider the intermediate cell problems
[TABLE]
With fixed using the version of the De Giorgi’s averaging/slicing lemma developed in [5, Proposition 3.7] one can argue as in [7, Lemma 4.3.5] to establish the convergence
[TABLE]
for -a.e. , where is the cell formula for defined in Eq. (2.4).
Thus, by taking into account (2.5) and (6.22) we conclude that
[TABLE]
We prove . With fixed , select , with as , and , with , such that
[TABLE]
Set and , then and by a change of variables the very definition of yields
[TABLE]
For the converse inequality , for every choose such that and
[TABLE]
For every and , let , and set w_{\varepsilon,j}(z):=\delta_{j}u_{T_{\varepsilon,j}}\big{(}\frac{z}{\delta_{j}}\big{)}. For every note that as , , and thus by changing variables that
[TABLE]
Therefore, Eq. (6.23) provides the inequality by letting in the inequality above.
In particular, since the argument above is independent from the chosen subsequence , we conclude that for all
[TABLE]
for all functionals arising as -limits of subsequences of the family . Therefore, by (6.24) the -liminf of the family , defined as
[TABLE]
satisfies
[TABLE]
for all . In particular, by definition is lower semicontinuous and
[TABLE]
for all , where is any -limit of a subsequence .
Step : . We start off proving the inequality . For all set
[TABLE]
then by Steps 1 and 2 it follows that . Denoting by the lower semicontinuous envelope of , then . Hence, we conclude in view of Corollary 6.8 that provides the explicit expression of .
To prove we argue as follows. For every , we introduce the family of auxiliary functionals defined by
[TABLE]
and
[TABLE]
For set , then a simple scaling argument yields that (cf. Remark 3.7)
[TABLE]
so that for all . In addition, for all , by (2.6) we deduce that
[TABLE]
We next claim that for all
[TABLE]
Given this for granted, we infer that
[TABLE]
Thus, to conclude we are left with the proof of (6.27). To this aim we use a construction introduced in [2, item (ii) of Lemma 4.3], and adapt their argument to our setting. By scaling we assume that , and for the sake of simplicity we assume . In particular, for every and , where . Therefore, in place of (6.27) we shall equivalently prove that for all
[TABLE]
We introduce next some notation: stands for the integer part of , and with a slight abuse set for all . Then, for every with on , set
[TABLE]
for all and for all . The sequence is bounded in and converges to the affine function strongly in (we do not highlight the dependence of and on for notational convenience). Indeed, it is easy to check that converges to strongly in , and that by -periodicity of
[TABLE]
Let be the standard decomposition of into congruent subcubes of side with sides parallel to the coordinate hyperplanes. Since by construction for every coordinate hyperplane of the form , for some , and , then , for all . Then, .
By translation invariance of and by -periodicity of we have that
[TABLE]
for all . Recalling that for all , then for all . Therefore, , and thus from (6.29) we get that
[TABLE]
On the other hand, by changing variables () we get that
[TABLE]
In conclusion, Eqs. (6.30) and (6.31) yield that for all and for all
[TABLE]
Since for all and , then is a -limit of a (suitable) subsequence of the family . Thus, by the lower semicontinuity of the -liminf functional , we conclude that
[TABLE]
In turn, from this (6.28) follows at once. ∎
Remark 6.15**.**
In the convex case it is well-known that the homogenized bulk energy density can be alternatively expressed for all as
[TABLE]
(see [9, Theorems 14.5, 14.7, and Remark 14.6] and [6, Theorem 3.1]).
7. Comments on the assumption of invariance under superposed rigid body motion
In this section we comment on the need of assumption (H5) in the setting. As noticed in formula (5), assumption (H5) implies that the bulk energy density of , and then in turn its recession function , does not depend on the skew-symmetric part of the relevant matrix. This piece of information has been substantially used in the proof of Theorem 2.3 to give a lower bound of the Radon-Nikodým derivative of at with respect to (cf. (5.15)), the upper bound instead being always true. As far as we have understood, this seems not to be a mere technical issue as we try to explain in what follows. First we notice that there exist one-homogeneous, nonconvex, quasiconvex functions satisfying for all
[TABLE]
and depending non trivially on the skew-symmetric part of the relevant matrix . The example is obtained by a slight modification of the one-homogeneous, nonconvex, quasiconvex function exhibited by Müller [39, Theorem 1] that we briefly recall. Given a matrix consider
[TABLE]
and set to be the quasiconvexification of , i.e.
[TABLE]
Clearly, is quasiconvex by definition and it is easy to see that it is one-homogeneous and satisfying for all . To prove the nonconvexity of , Müller shows that for the rank- matrix
[TABLE]
is satisfied. On the other hand, it is easy to show that the convex envelope of is null on . In addition, to prove that depends on the skew-symmetric part of the matrix it suffices to notice that
[TABLE]
and that , in turn implying . Finally, in order to satisfy the growth condition in (7.1) we define the function to be equal to
[TABLE]
for sufficiently small. Indeed, the set
[TABLE]
is closed (and potentially empty), since convexity is stable under pointwise convergence, and . In passing, we recall that an example of similar nature has been exhibited in the superlinear case in [14, Remark 4.14] with a polyconvex, non-convex energy density.
Hence, the full integral representation result for the corresponding functional
[TABLE]
can be proven by means neither of Theorem 2.3, since assumption (H5) is violated (while (H1)-(H4) are easily checked to be valid), nor of any of the results available in the related literature (cf. [5], [24], [42], [4], [35]). On the other hand, thanks to Lemma 5.1 (cf. [24, Theorem 3.3, Remark 3.5]), the quasiconvexity and -homogeneity of itself imply that for all it holds
[TABLE]
(see also Theorem 6.1, Remark 6.3 and Corollary 6.8). More generally, such representations of the volume and surface parts of the energy hold for all in view of Lemma 5.1 itself.
In addition, for all we claim that
[TABLE]
To prove this, for consider the functional
[TABLE]
where , and note that it satisfies the assumptions of the integral representation result [7, Theorem 4.1.4]. To this aim, set
[TABLE]
if and otherwise on . In particular, turns out to be the lower semicontinuous envelope of (cf. Remark 6.4). Furthermore, by its very definition is quasiconvex, one-homogeneous and for all , for some independent from . Therefore, [7, Theorem 4.1.4] gives that for all
[TABLE]
and moreover if .
Being monotone increasing and converging to as in view of the pointwise convergence of to , the -limit in the strong topology of both and is exactly (cf. [16, Propositions 5.7 and 6.11], [8, Theorem 1.17 and Remark 1.40], see also [25, Example 2.5 and Theorem 2.8]). Moreover, is monotone increasing with pointwise limit as the functional given by the right hand side of (7.3) for all and otherwise on . The equality in (7.3) then follows at once in view of the lower semicontinuity of itself on for all (cf. [2, Theorem 4.1], [3, Theorem 5.47]). In addition, the functional turns out to provide the lower semicontinuous envelope of on in view of [2, Theorem 4.1].
Actually, as a byproduct, it follows that for all
[TABLE]
Summarizing, for the functional related to the integrand introduced above, we can prove an integral representation result on maps (see (7.3)) with volume density expressed in terms of the full approximate gradient of and with surface density depending on the full tensor product of the jump and the approximate normal to the jump set of (cf. (7.2) and (7.3)). For maps which are not we are not able to provide the integral representation of the Cantor term. The expression of for maps in (7.3) suggests that despite the recent progresses obtained by De Philippis and Rindler in [21], some other structure properties of the Cantor part of the symmetrized distributional derivative are still missing for maps (see [20, Conjecture 3.4] for further discussions on the topic). In Theorem 2.3 we use assumption (H5) to rule out such kind of difficulties.
As already noticed, (H5) is not needed for the integral representation on the subspace of functions . The latter comment is coherent with the needed assumptions in case of functionals defined on , (see [14, Theorem 1.1 and Remark 4.14]).
Finally, we note that all the (few) known examples of functions in are such that , though, with a slight abuse of notation, (cf. [41], [1, Example 7.7], [12, Theorem 1], [31], [32, Theorems 1.3 and 5.1], [15, Theorems 3.1 and 3.6]).
Remark 7.1**.**
More generally, considering a generic functional satisfying (H1)-(H4), similar conclusions as those discussed above can be drawn for what concerns the integral representation on the subspace and the analogous of the relaxation formula (7.4).
Acknowledgements
The work of M.C. has been supported by the grant “Calcolo delle variazioni, Equazione alle derivate parziali, Teoria geometrica della misura, Trasporto ottimo” co-founded by Scuola Normale Superiore di Pisa and the University of Firenze. M.F. acknowledges the support of GNAMPA of INdAM. N.V.G. was supported by FCT - Fundação para a Ciência e a Tecnologia, starting grant “Mathematical theory of dislocations: geometry, analysis, and modelling” (IF/00734/2013) and by the FCT project UIDB/04561/2020.
The first and second authors would like to thank G. De Philippis for interesting conversations on the subject.
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