Relaxation of nonlinear elastic energies related to Orlicz-Sobolev nematic elastomers
Giovanni Scilla, Bianca Stroffolini

TL;DR
This paper analyzes the relaxation of a complex energy model for nematic elastomers, combining nonlinear elasticity and nematic orientation energies within an Orlicz-Sobolev framework, extending previous results to broader function spaces.
Contribution
It extends the relaxation analysis of nematic elastomer energies to Orlicz-Sobolev spaces with specific growth conditions, incorporating polyconvexity and orientation-preserving map properties.
Findings
Derived relaxation formulas for the energy model.
Extended previous results to new Orlicz space settings.
Ensured the regularity and non-cavitation conditions for deformations.
Abstract
We compute the relaxation of the total energy related to a variational model for nematic elastomers, involving a nonlinear elastic mechanical energy depending on the orientation of the molecules of the nematic elastomer, and a nematic Oseen--Frank energy in the deformed configuration. The main assumptions are that the quasiconvexification of the mechanical term is polyconvex and that the deformation belongs to an Orlicz-Sobolev space with an integrability just above the space dimension minus one, and does not present cavitation. We benefit from the fine properties of orientation-preserving maps satisfying that regularity requirement proven in \cite{HS} and extend the result of \cite{MCOl} to Orlicz spaces with a suitable growth condition at infinity.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Relaxation of nonlinear elastic energies related to Orlicz-Sobolev nematic elastomers
Giovanni Scilla and Bianca Stroffolini
Abstract
We compute the relaxation of the total energy related to a variational model for nematic elastomers, involving a nonlinear elastic mechanical energy depending on the orientation of the molecules of the nematic elastomer, and a nematic Oseen–Frank energy in the deformed configuration. The main assumptions are that the quasiconvexification of the mechanical term is polyconvex and that the deformation belongs to an Orlicz-Sobolev space with an integrability just above the space dimension minus one, and does not present cavitation. We benefit from the fine properties of orientation-preserving maps satisfying that regularity requirement proven in [27] and extend the result of [36] to Orlicz spaces with a suitable growth condition at infinity.
Keywords: nematic elastomers, Orlicz-Sobolev spaces, relaxation, nonlinear elasticity, orientation-preserving maps.
AMS Classification: 49M20, 49J45, 46E30, 74B20.
Contents
-
4.2 Degree for Orlicz-Sobolev maps and topological image of a set
-
5.1 Some properties of class : fine properties, openness and local invertibility
-
5.2 The subclass : cut-and-paste and composition with Lipschitz functions
-
5.3 Polyconvexity, quasiconvexity and tangential quasiconvexity
1 Introduction
The longstanding problem in nonlinear elasticity about the formation of cavities has been proposed in the keystone paper of Ball & Murat [4]. Subsequently, Müller & Spector [37] investigated with many examples what are the conditions to impose in order to prevent cavities. They introduced a topological condition: ‘INV ’, formulated in terms of degree for maps in . Later, Conti & De Lellis [13] were relaxing this condition to map in obtaining some partial results. Henao & Mora Corral extensively studied Lusin properties and local invertibility, [23, 24, 25, 26]. Later on, Barchiesi, Henao & Mora-Corral [6], using these latter results, were able to characterize the class of orientation preserving maps in for which the cavities do not occur. This conditions are related to distributional Jacobian, surface measure and degree.
In a previous paper [27] the second author with Henao proved that many properties of orientation preserving maps, such as local invertibility and a.e. differentiability, can be pushed to a special class of Orlicz-Sobolev spaces, with an integrability exponent just above the space dimension minus one, in the logarithmic scale.
This kind of generalization could have not only a mathematical interest per se but it is also related to questions of integrability of Jacobian determinants and mappings of finite distortion (see, e.g., [22, 28, 29, 42, 21]).
The drawback of this generalization is an existence theorem for models of magnetic elastomers, liquid crystals and magnetoelasticity, see, e.g., [5, 8, 31]. The existence theorems were proved in the scale of Sobolev spaces with in [6]. Both the theorems were provided assuming polyconvexity in the mechanic energy and quadratic growth in the deformed configuration (nematic).
The scope of this article is the study of the magnetoelastic model without any policonvexity or quasiconvexity assumption. This gives rise to finding the quasiconvex envelope. However, it can be shown that the two energies could be treated separately: the quasiconvex envelope is the sum of the two envelopes: the quasiconvex for the mechanical, the tangential quasiconvexification for the nematic term (see [36] for the case ).
Main results: Let be a fixed -function such that for some , and denote by the corresponding Orlicz-Sobolev space. The energy associated to the deformation and the director is the sum of two terms: (a) the mechanical energy of the deformation , of the form
[TABLE]
where the potential is assumed to comply with an Orlicz-growth condition (with respect to the deformation) as
[TABLE]
for a suitable convex function , and an equicontinuity property with respect to . The domain of is the class of the admissible deformations, consisting of those maps in which are orientation preserving and such that no cavitation occurs (see Definition 5.5) with a supplementary integrability condition for the cofactor (see Section 5.2); (b) the nematic energy in the deformed configuration , given by
[TABLE]
where denotes the topological image of by (see Definition 5.11) and for every , , being the tangent space at to .
Under the additional assumption that - the quasiconvexification of in the first variable - is polyconvex, with Theorem 7.6 we prove that the relaxation on of the functional
[TABLE]
is the energy given by the sum of the relaxed energies and ; namely,
[TABLE]
where is the tangential quasiconvexification of (see Definition 5.23).
The lower bound is an immediate consequence of the lower semicontinuity result for with respect to the strong topology of provided by Proposition 6.2, which in turn relies on the lower semicontinuity properties of and . As for the upper bound, with Proposition 7.4 we exhibit the construction of a mutual recovery sequence providing a limsup inequality for both the mechanical term and the nematic term separately. Our argument provides an extension to the logarithmic scale of Orlicz-Sobolev spaces of the approach by Conti-Dolzmann [14] and Mora Corral-Oliva [36].
Overview of the paper: The paper is organized as follows. In Section 2 we fix the main notation which will be used throughout the paper. Section 3 collects some basic definitions and results in Convex Analysis, concerning -functions and the Orlicz-Sobolev spaces. Then, with Section 4, we recall basic definitions in geometric measure theory, necessary in order to tackle the analysis of the energy functionals in the deformed configuration. In particular, we recall the notions of geometric image (Definition 4.3), the concept of topological degree in Orlicz-Sobolev maps and define the topological image of a set (Section 4.2), [27]. The class of admissible deformations is introduced in Section 5, where we recall also their fine properties (Section 5.1); in particular, openness and local invertibility, and we investigate their stability under composition with Lipschitz functions, useful for the change of variables (Section 5.2). Here we introduce the subclass . In Section 6 we state the main results of compactness, lower semicontinuity (Proposition 6.2) and existence of minimizers (Theorem 6.3) for the functionals defined in the deformed configuration. Finally, in order to obtain the main relaxation theorem (Theorem 7.6), we provide the construction of a recovery sequence (Theorem 7.1) in the spirit of Conti-Dolzmann’s approach (Lemma 7.3 and Proposition 7.4). There, an extension to the Orlicz-Sobolev setting of the concepts of tangential quasiconvexity and the corresponding results of lower semicontinuity and relaxation come into play (Theorem 5.24).
2 Notation
In this section we fix the notation and introduce some definitions used in the paper.
Let . In all the paper, will be a non-empty open, bounded set of , which represents the body in its reference configuration. There, the coordinates will be denoted by , while in the deformed configuration by . Vector-valued and matrix-valued functions will be written in boldface. The closure of a set is denoted by and its topological boundary by . Given two sets of , we will write if is bounded and . The open ball of radius centred at is denoted by , while stands for its closure; when , we will simply write and , respectively. The -dimensional sphere in centred at , with radius , is denoted by or . Given a square matrix , its determinant is denoted by . The adjugate matrix satisfies , where denotes the identity matrix. The transpose of is the cofactor . If is invertible, its inverse is denoted by . The inner product of vectors and of matrices will be denoted by and their associated norms are denoted by . Given , the tensor product is the matrix whose component is . The set denotes the subset of matrices in with positive determinant. The set denotes the unit sphere in . The identity function in is denoted by .
The Lebesgue measure in is denoted by or , and the -dimensional Hausdorff measure by . The abbreviation a.e. stands for almost everywhere or almost every; unless otherwise stated, it refers to . For a Young function, denotes the corresponding Orlicz space and the Orlicz-Sobolev spaces (see Section 3 for the precise definitions). The symbols and stand for the spaces of and functions, respectively, with compact support. The derivative of a Sobolev-Orlicz or a smooth vector-valued function is written . The set of (positive or vector-valued) Radon measures is denoted by , while is the space of functions with bounded variation.
The strong convergence in or and the a.e. convergence are denoted by , while the symbol for the weak convergence is , that for the weak∗ convergence in is . Given a measurable set , the symbol denotes the average value of on .
3 Some basic facts on Orlicz-Sobolev spaces
We recall here few basic definitions and results concerning -functions and Orlicz-Sobolev spaces, useful in the sequel. For a detailed treatment of the topic, we refer to [30, 32, 7, 1].
An -function is a convex function from to which vanishes only at 0 and such that
[TABLE]
If is an -function, then we denote by the Young-Fenchel-Yosida dual or conjugate transform of ; namely, the -function defined as
[TABLE]
In this paper, we restrict our analysis to functions whose growth at infinity is at least such that
[TABLE]
for some The condition is satisfied, in particular, when for every .
An -function is said to satisfy the -condition near infinity if it is finite-valued and there exist a constant and such that
[TABLE]
If (3.3) holds for every , we say that satisfies the -condition globally.
Remark 3.1**.**
We notice that our function for every verifies the condition together with its conjugate. We will also been dealing with the function for a (see Section 5): this function verifies the -condition globally. It is worth noting that its conjugate is equivalent to (see the remarks below Theorem 3.4) that, instead, does not satisfy -condition at infinity, since it holds that definitely for .
An equivalent property to (3.3), very useful in the computations, is the following: for every constant , there exists a constant such that
[TABLE]
Let be a measurable subset of . The Orlicz space built upon a Young function is the Banach function space of those real-valued measurable functions on for which the Luxemburg norm
[TABLE]
is finite.
Since is non-decreasing,
[TABLE]
If satisfies the -condition at infinity then
[TABLE]
Proposition 3.2** (generalized Hölder inequality).**
Let be an -function and its dual. Then it holds that
[TABLE]
for every and .
Note that we may introduce another norm on , the Orlicz norm or dual norm, defined as
[TABLE]
The norms and are equivalent, since it holds that
[TABLE]
We denote by the closure of all bounded measurable functions defined on with respect to the norm . Now we remark that the -condition comes into play for separability and reflexivity:
Proposition 3.3**.**
* satisfies -condition iff .*
If does not satisfy -condition, it turns out that
[TABLE]
Moreover, is separable and is dense in .
The Orlicz space of vector-valued measurable functions on is defined as , and is equipped with the norm for . The Orlicz space of matrix-valued measurable functions on can be defined analogously.
We denote by the Orlicz-Sobolev space defined by
[TABLE]
The space , equipped with the norm
[TABLE]
is a Banach space.
The space is defined analogously, by replacing the space with . The space is the closure of in the norm.
The Orlicz space of vector-valued measurable functions on is defined as , and is equipped with the norm for . The analogous spaces for matrix-valued functions are defined in the same way.
We now introduce a notion of ordering for Young functions (see, e.g., [32, Definition 3.5.6]).
Let be Young functions. is said to dominate , and we write , if there exists a positive constant such that
[TABLE]
As customary, if there exists also such that (3.11) holds for every , we say that dominates near infinity. If and , the functions and are said to be equivalent, and we write .
The following result holds (see, e.g., [32, Theorem 3.17.1] and subsequent remarks).
Theorem 3.4**.**
*Let be Young functions. Then we have:
(i) if and only if ;
(ii) if and only if .*
If has finite measure, the last condition could be replaced by near infinity. In case , it can be seen (e.g., [30, Theorem 13.3]) that there exists a constant such that
[TABLE]
Now, setting , with , and , the corresponding Orlicz spaces and are well-known in literature as Zygmund spaces (see, e.g., [7, Section 4], [39]), and are denoted by and , respectively. We will denote by the closure of the class of measurable and bounded functions on with respect to the norm of . This space is separable, so it coincides with the closure of the smooth functions on with respect to the same norm.
We recall here a result which clarifies the relationship between the exponential Orlicz spaces and the Lebesgue spaces (see, e.g. [33, Lemma 2.3 and 2.4]).
Lemma 3.5**.**
The following hold:
- (i)
, thus , ;
- (ii)
, for all , ;
- (iii)
, for all . Moreover,
[TABLE]
- (iv)
for every , it holds that
[TABLE]
where , .
We cannot find the explicit form of the complementary function . However, from the immediate inequality
[TABLE]
we deduce that . In fact, by virtue of [30, Theorem 6.2], it holds that near infinity. Moreover, .
Clearly, since does not satisfy the -condition, then also does not.
In the sequel, we will use the following Poincaré inequality, whose proof can be found, e.g., in [34, Prop. 2.13], [20, Lemma 5.7] and, in the case of the ball, e.g., in [41, Lemma 3].
Proposition 3.6**.**
Let be an open set of finite measure, and assume that satisfies -condition with constant . There exists a constant such that
[TABLE]
In particular, if then if , while if .
Recently, also the following alternative version of this inequality has been proved (see [12, Theorem 3.9]). It holds under the assumption that has the cone property; i.e., there exists a finite cone such that each point is the vertex of a finite cone contained in and congruent to .
Proposition 3.7**.**
Let be an open bounded domain having the cone property, let be an -function satisfying the -condition. Let . Then
[TABLE]
where
[TABLE]
* is any ball such that and is a positive constant depending only on and .*
Another useful tool will be the following general version of Chebyshev’s inequality: if is a non-negative and non-decreasing function defined for , then for every we have
[TABLE]
The proof of (3.14) is very simple. Denoting by the indicator function of set and unsing the monotonicity of , we have
[TABLE]
A general criterion for the equi-absolute continuity of the integrals of a family of functions in is given by the following version of Vallée Poussin’s Theorem (see, e.g., [30, Ch. II, §11.1]):
Theorem 3.8**.**
Let be an -function, and be a family of functions in . If there exists such that
[TABLE]
then the family has equi-absolutely continuous integrals.
Let be a sequence of functions in and let . If is near infinity, then
[TABLE]
Note that, if does not satisfy -condition, the implication “” fails. If near infinity, instead, we have
[TABLE]
4 Definitions and preliminary results
This section collects some basic definitions and preliminary results.
Definition 4.1**.**
A function defined everywhere satisfies Lusin’s condition if the image of a subset of of measure zero is a set of measure zero. We say that satisfies Lusin’s condition if the preimage of a subset of of measure zero is a set of measure zero.
Let be a measurable function and let . If is approximately differentiable at , we denote by its approximate differential at . We denote the set of approximate differentiability points of by . If is approximately differentiable a.e., for any and , we define
[TABLE]
Now, we recall the definition of almost everywhere (a.e.) invertibility for a vector-valued function.
Definition 4.2**.**
A function is said to be one-to-one a.e. in a subset if there exists a subset , with , such that is one-to-one.
The following is the notion of geometric image of a set adapted to the context of Orlicz spaces (see [27, Section 2.2]).
Definition 4.3**.**
*Let and assume that for a.e. . Let be the subset of where the following are satisfied:
i) is approximately differentiable at and ;
ii) there exist and a compact set of density 1 at such that and .*
For any measurable , the geometric image of under is defined as
[TABLE]
It turns out that is a set of full measure in (see the remarks after [27, Def. 2.4]).
4.1 A class of good open sets
We consider a class of “good” sets, such that the restrictions of Orlicz-Sobolev functions to their boundaries enjoy some desirable properties (Definition 4.4(i)-(iv)).
Let be given a nonempty, open set with a boundary. We call the signed distance function from and consider its super-level sets
[TABLE]
for each . It is well-known (see, e.g., [40, p. 112] or [37, p. 48]) that there exists such that for all , the set is open, and has a boundary.
Let be an -function satisfying the growth at infinity (3.2) and the -condition at infinity (3.3). It is stated in [9, Remark 3.2], [27, Prop.2.6], that maps have a continuous representative on -dimensional manifolds. Therefore, for some open set the notation will be referred to the continuous representative of on . In addition, [27, Prop. 2.6], Federer’s change of variables formula holds true: for any -measurable subset ,
[TABLE]
where denotes the outward unit normal to at .
Definition 4.4**.**
We define the class of good open sets as the family of nonempty open sets with a boundary where the following conditions are satisfied:
(i)
, and ;
(ii)
* -a.e., where is the set of Definition 4.3, and for -a.e. , where denotes the linear tangent space of at ;*
(iii)
;
(iv)
For every with ,
[TABLE]
where denotes the unit outward normal to for each , and the unit outward normal to .
4.2 Degree for Orlicz-Sobolev maps and topological image of a set
In order to introduce the concept of topological image, we need to recall the notion of topological degree for continuous functions (see, e.g., [17, 19]).
Let be a bounded open set of . We’ve already recalled that every map , with verifying (3.2) and the -condition at infinity, is continuous on -dimensional manifolds and so admits a continuous representative , that can be extended to a continuous by virtue of Tietze’s theorem (see, e.g., [38, Theorem 35.1]). Therefore, the following definition of degree is consistent since the degree only depends on the boundary values (see, e.g., [17, Th. 3.1 (d6)]).
Definition 4.5**.**
The degree of on is defined as the degree of on .
With a slight abuse of notation, we will denote by the degree of , tacitly referring to the degree of its continuous representative.
Following the approach of Šverák [40] (see also [37]), we are now in position to define the concept of topological image.
Definition 4.6**.**
Let be an -function satisfying (3.2) and let be a nonempty open set with a boundary. If , we define , the topological image of under , as the set of such that .
The continuity of function implies that the set is open and . In addition, as in the unbounded component of (see, e.g., [17, Sect. 5.1]), it follows that is bounded.
5 The class of admissible functions
First, we denote by the class of admissible deformations consisting, roughly speaking, of Sobolev-Orlicz functions which are orientation preserving and such that no cavitation occurs.
From now on, we fix as -function satisfying (3.2) and the -condition at infinity (3.3) the function for .
Definition 5.1**.**
Let and assume that . For and we define the energy
[TABLE]
Remark 5.2**.**
*We notice that if , then , so . In particular, . This implies that the energy (5.1) is finite. *
Definition 5.3**.**
Let be measurable and approximately differentiable a.e. Assume that and .
For every , define
[TABLE]
and
[TABLE]
In equation (5.2), denotes the derivative of evaluated at , while is the divergence of evaluated at .
Note that if we restrict the definition of to test functions , then defining we have . Therefore, passing to the supremum: . Along the lines of the proof of [24, Theorem 4.6], it can be shown that for all functions such that and a.e.
The energy was introduced in [23] and measures the new surface in the deformed configuration created by . For our purposes, we are interested into deformations such that ; i.e., that do not exhibit cavitation.
It is useful for the sequel to recall the definition of distributional determinant (see, e.g., [3]). In the expression below, the symbol denotes the duality product between a distribution and a smooth function.
Definition 5.4**.**
Let satisfy . The distributional determinant of is the distribution defined as
[TABLE]
The equality , when , can be intended as
[TABLE]
We introduce the class of admissible functions as follows.
Definition 5.5**.**
A function is said to be admissible, and we write , if , a.e. and
For each such an admissible deformation , . Furthermore, the conditions and are equivalent, as expressed by the following theorem.
Theorem 5.6**.**
[27, Theorem 1.1]* Let be a Young function satisfying (3.2) and assume that satisfies . Then the following are equivalent:*
- •
* and a.e.;*
- •
, for a.e. , and for every and a.e. .
5.1 Some properties of class : fine properties, openness and local invertibility
In this section, we preliminarly recall some fine properties for admissible deformations ([27, Proposition 4.2]). Here, is the class of good open sets introduced with Def. 4.4, and is the number defined by (4.1).
Proposition 5.7**.**
Let . Then the following properties hold:
(i)
;
(ii)
;
(iii)
For all ,
[TABLE]
(iv)
For every , with ,
[TABLE]
and
[TABLE]
(v)
The components of are weakly 1-pseudomonotone.
Definition 5.8**.**
A function is called -weakly pseudomonotone if for every and a.e. ,
[TABLE]
Notice that the oscillation on the left is meant to be essential with respect to the Lebesgue measure while on the right with respect to the -Hausdorff measure.
Definition 5.9**.**
Let . We define the topological image of a point by as
[TABLE]
and .
It’s worth noting that both the definitions of and do not depend on the particular representative of (see [6, Remark 5.7.(c)] for explanations).
Proposition 5.10**.**
[27, Proposition 4.5]*
For every the following are satisfied:*
(i)
;
(ii)
For every ,
[TABLE]
(iii)
The map defined everywhere in by
[TABLE]
is such that for every and for every . Moreover, it is continuous at every point of , differentiable a.e., and such that for every with .
Note that equality (5.3) in Prop. 5.7 implies an openness property for : for every ,
[TABLE]
Definition 5.11**.**
Let . Define
[TABLE]
and
[TABLE]
We will see in Section 6 that plays the role of the deformed configuration. By the continuity of the degree, is open, and hence, so is . Moreover, it does not depend on the particular representative of ([6, Lemma 5.18.(b)]).
We recall here some results of local invertibility for functions .
Definition 5.12**.**
Let . We denote by the class of such that is one-to-one a.e. in (see Definition 4.2), and by the set . Define
[TABLE]
The set consists of the sets of points around which is locally a.e. invertible: if and only if there exists such that is one-to-one a.e. in . It does not depend on the particular representative of and it turns out that is of full measure in (see [27, Proposition 4.9]).
Equality (5.5) allows us to define the local inverse having for domain the open set .
Definition 5.13**.**
Let and . The inverse is defined a.e. as , for each , and where satisfies .
The following results hold (see [27, Propositions 4.11 and 4.12]).
Proposition 5.14**.**
Let and . Then
[TABLE]
Proposition 5.15**.**
For each , let satisfy in as . The following assertions hold:
(i)
For any and any compact set there exists a subsequence for which for all .
(ii)
For a subsequence, there exists a disjoint family
[TABLE]
such that a.e. and, for each ,
[TABLE]
(iii)
Let and take an open set such that for all . Then
(a)
* in as ;*
(b)
for any minor , we have , for all and
[TABLE]
If, in addition, the sequence is equiintegrable in , then the convergence in (iii)-(a) holds in the weak topology of , and the convergence in (iii)-(b) holds in the weak topology of .
(iv)
For a subsequence we have that a.e. and in as .
5.2 The subclass : cut-and-paste and composition with Lipschitz functions
In order to prove the semicontinuity result, we need to establish some stability properties with respect to cut-and-paste operations and the composition with suitable smooth functions. To this aim, we restrict ourselves to the subclass of where we require, in addition, that
[TABLE]
where . We notice that we are requiring a smaller space for the integrability of the cofactor. Consequently, the space of test functions is , that is larger than the Sobolev-Orlicz space associated to the function . For relations of Lebesgue (and Orlicz) with see Lemma 3.5.
A first result - showing that when we glue two functions in the class that coincide in a neighborhood of an open set, the resulting function is also in - is essentially a rewriting of [36, Lemma 3.8]. Indeed, the only condition to check is that (see the definition of below), and this property only involves the test functions. Therefore the proof will be omitted.
Lemma 5.16**.**
Let be open sets such that , and let , satisfy a.e. in . Then the function
[TABLE]
belongs to .
Now, along the lines of the proof of [36, Lemma 3.9], we prove that if and .
Lemma 5.17**.**
Let , and . Then .
Proof.
It will suffice to construct a sequence of functions in such that in and in as . Indeed, by Def. 5.5 we have that for every and, as a consequence of Hölder inequality,
[TABLE]
Moreover, since and is bounded, we have
[TABLE]
∎
With the following lemma, we prove that the class is stable under the composition with suitable Lipschitz functions.
Lemma 5.18**.**
Let , a ball, Lipschitz such that , a.e. and
[TABLE]
Define
[TABLE]
Assume that , in and . Then .
Proof.
We can perform a similar argument as for [36, Lemma 3.10], exploiting the change of variable formula, the chain rule and the fact that ([40, Theorem 8]). We should only check that if , then . Indeed, setting , we have
[TABLE]
whence under assumption (5.9). In (5.11), the constants depend on , and . Now, setting on , on , since we have that and, in view of Lemma 5.17, . Thus, .
∎
5.3 Polyconvexity, quasiconvexity and tangential quasiconvexity
In this section, we recall the definitions of polyconvexity, quasiconvexity and tangential quasiconvexity (see, e.g., [3, 4, 15, 16]) adapted to our setting.
Let be the number of minors of an matrix, and denote by the collection of all the minors of an in a given order such that its last component is .
Definition 5.19**.**
A Borel function is polyconvex if there exists a convex function such that for all .
We recall the classical concept of quasiconvexity, adapted to the case of functions that can take infinite values (see, e.g., [4]).
Definition 5.20**.**
A Borel function is quasiconvex if for all and all with on in the sense of traces, we have
[TABLE]
As for the definition of quasiconvexification, the natural one corresponding to Definition 5.20 is given in [14, Definition 2.3] and reads as follows.
Definition 5.21**.**
The quasiconvexification of a Borel function is defined as
[TABLE]
For functions , the definitions of polyconvexity, quasiconvexity and of quasiconvexification always refer to the first variable. It can be proved that if is quasiconvex, then it is continuous (see [36, Proposition 2.4] for details).
Proposition 5.22**.**
Assume that is continuous and there exists an with such that for all and ,
[TABLE]
Consider the extension of by infinity outside . Then is continuous.
To conclude this section, we introduce the concept of tangential quasiconvexity and tangential quasiconvexification, where the term “tangential” is referred to the manifold .
For each we denote the tangent space of at by . Given an Orlicz-Sobolev function defined in an open set such that for a.e. , it holds that for a.e. . Therefore, a function need only be defined in
[TABLE]
Thus, we consider a Borel function . The following definition (see [36, Def. 2.6]) extends the one given in [16] when does not depend on the first variable.
Definition 5.23**.**
Let be a Borel function.
- (a)
* is tangentially quasiconvex if for all and all with on in the sense of traces we have*
[TABLE] 2. (b)
The tangential quasiconvexification of is
[TABLE]
Note that the fact implies for a.e. . From the definitions, it is immediate to check that is tangentially quasiconvex and that is tangentially quasiconvex if and only if .
The next theorem extends to the Orlicz-Sobolev setting the main results of [16], obtained under standard -growth assumptions; again, the formulation is adapted to cover a dependence of on the first variable as well.
First, we note that an explicit formula for tangential quasiconvexification in the case of the unit sphere has been provided. Indeed, defining
[TABLE]
and to be the quasiconvexification of with respect to the second variable, then (see [16, Example 2.4]).
With the following theorem, we obtain (a) the (sequential) weakly lower semicontinuity result in for the integral functional
[TABLE]
and then (b) the integral representation of the relaxed energy .
Theorem 5.24**.**
Let be open and bounded. Let be continuous and satisfy the growth condition
[TABLE]
for some . Let . The following hold:
- (a)
If is tangentially quasiconvex then, for any sequence such that in , we have
[TABLE] 2. (b)
[TABLE]
Proof.
(a) The proof is verbatim the same as in [16, Proposition 2.5]. The only difference is that, in the final estimate therein, the classical results of lower semicontinuity for quasi-convex integrands with standard -growth are replaced by the corresponding generalization to the Orlicz setting [18, Theorem 3.2].
(b) The argument of [16, Theorem 3.1], concerning with the relaxation of the analogous integral functional in , applies to our case with minor modifications. We then omit the details of the proof, just mentioning the main steps. First, denoting by and the left and right hand sides of (5.15), respectively, with (a) we immediately deduce that
[TABLE]
To prove the reverse inequality, we need to introduce an auxiliary localized version of ; namely,
[TABLE]
for every open subset . Notice that . Then, we have to show that is the trace, on the class of open subsets of , of a finite Radon measure, absolutely continuous with respect to the -dimensional Lebesgue measure on .
As for the subadditivity property
[TABLE]
where are open subsets of such that , the proof is not affected (up to minor modifications) by the Orlicz growth of the gradients. Moreover, using the growth assumption (5.14), we have
[TABLE]
To conclude, we need the bound
[TABLE]
where is the Radon Nikodym derivative of with respect to . Indeed, (5.18) is equivalent to , whence .
We briefly sketch the proof of (5.18), referring the interested reader to [16, pp. 201–206] for details. Let be a Lebesgue point for such that exists and is finite, and set . Then, with fixed , from Definition 5.23(b) there exists a test function such that
[TABLE]
Furthermore, a local argument based on the smooth projection of a neighborhood of onto the sphere , involving , and the continuity properties of , provides a sequence converging uniformly to on and with equiabsolutely integrable . The conclusion then follows by several estimates exploiting (5.19) and the properties of and .
∎
Since finite-valued quasiconvex functions are continuous (because they are rank-one convex), we infer that any tangentially quasiconvex is continuous in the second variable.
6 Compactness, lower semicontinuity and existence of minimizers for functionals defined in the deformed configuration
In this section we prove existence of minimizers of on a suitable set, under the assumptions that is polyconvex in the first variable and is tangentially quasiconvex.
We first introduce the admissible set .
Definition 6.1**.**
Let be a bounded Lipschitz domain, representing the reference configuration of the sample. Let be an -rectifiable subset of , and let be a given function. We define the admissible set as the set of pairs such that , in the sense of traces, for a.e. ,
[TABLE]
From the physical point of view, can be meant to be the elastic deformation of the sample, with a given boundary condition , and to be the nematic director field evaluated in the deformed configuration of the sample with respect to .
We define the energy functionals
[TABLE]
describing the nematic elastomer as follows:
[TABLE]
[TABLE]
and, finally,
[TABLE]
if , elsewhere.
The following result establishes the compactness for sequences bounded in energy and the lower semicontinuity of in with respect to strong -topology. The proof can be derived by combining the arguments of [36, Proposition 4.1], [6, Theorem 8.2, Propositions 7.1 and 7.8], with the necessary adaptation to the Orlicz-Sobolev setting.
Proposition 6.2**.**
Let be continuous, polyconvex and such that
[TABLE]
for a constant and a Borel function with
[TABLE]
Let be continuous and tangentially quasiconvex such that
[TABLE]
Then
(i)
(compactness)* for every sequence such that , there exist a subsequence (not relabelled) and such that*
[TABLE]
(ii)
(lower semicontinuity)* for every sequence such that (6.6) holds, we have*
[TABLE]
Sketch of the proof.
We can assume, eventually passing to a subsequence, that the of the right-hand side of (6.7) is a limit, and that it is finite. In particular, , so that for every . We first notice that, by assumptions (6.3)-(6.5) and de la Vallée Poussin’s criterion (Theorem 3.8), the sequence is bounded in and is equiintegrable. By Poincarè inequality and the boundary condition, also is bounded in . Therefore, as showed in the proof of [6, Theorem 8.2], there exists with such that and .
Now, by the area formula and the fact that , the boundedness in of implies that of . Therefore, [6, Proposition 7.1] yields the existence of such that and, along a subsequence, in and a.e., in as , where denotes the extension of by zero outside , and analogously for . Moreover, by [6, Proposition 7.8], we have
[TABLE]
As for the lower semicontinunity of the nematic term of the energy, we follow the proof of [36, Proposition 4.1]. Let be open. Then, by Proposition 5.15(i) applied to the compact set , there exists such that for all we have . Therefore, in as and by Theorem 5.24 we get
[TABLE]
The result then follows by the arbitrariness of . ∎
Once the compactness and lower semicontinuity properties have been proved with Proposition 6.2, the direct method of the calculus of variations (if necessary, see, e.g., [15]) yields the following result on the existence of minimizers of on the admissible set (compare with [27, Thm. 5.1]).
Theorem 6.3**.**
Let be continuous, polyconvex and such that (6.3)-(6.4) hold for a constant and a Borel function . Let be continuous and tangentially quasiconvex such that (6.5) holds. If and is not identically infinity, then attains its minimum in .
7 Construction of a recovery sequence and relaxation
The main aim of this section is the construction of a recovery sequence providing the upper bound inequality that, combined with the compactness and lower semicontinuity results obtained in the previous section, will allow us to obtain the relaxation theorem.
In order to do that, we list below the coercivity, growth and continuity assumptions on the energy functions and .
(a) Assumptions on :
()
is continuous;
()
there exist a convex and constants such that
[TABLE]
and for all and ,
[TABLE]
()
there exists a bounded Borel , with , such that
[TABLE]
for all and .
The function is extended by infinity to . Observe that if satisfies then .
**(b) Assumptions on :
()** is continuous and there exists such that
[TABLE]
We define the admissible set as in Section 6 and the functionals as in (6.1). Correspondingly, we introduce the relaxed functionals , defined on as
[TABLE]
[TABLE]
and , where is the quasiconvexification of with respect to the first variable and is the tangential quasiconvexification of .
The main result of this section is the following theorem.
Theorem 7.1**.**
Let be open, bounded and with Lipschitz boundary. Assume that and comply with and , respectively. Then, for any there is a sequence such that
[TABLE]
and
[TABLE]
The proof of this result relies on the following Lemma 7.3. As showed by Lemma 5.18, the local composition of the limiting deformation with a Lipschitz map , satisfying the correct integrability condition, is still an admissible deformation. What we need to know is that the unrelaxed mechanical energy of such composition is near the relaxed mechanical energy of .
We will exploit the following technical result [14, Lemma 3.1] dealing with the integrability of the product of suitable translations of functions.
Lemma 7.2**.**
Let and . Let , and . Then, there exists a measurable set of positive measure such that for any , the function
[TABLE]
belongs to and
[TABLE]
We are now in position to state and prove the first key result of this section.
Lemma 7.3**.**
Assume that satisfies and let , and be fixed. Then there exists such that, for any ball , any and any complying with
[TABLE]
there exist and with in , ,
[TABLE]
and
[TABLE]
for some positive constants and .
Proof.
The proof is an adaptation to the Orlicz-Sobolev setting of the arguments developed in [36, Lemma 6.2] and [14, Lemma 3.2] for the Sobolev spaces .
The estimate (7.9) follows from Poincaré’s inequality (3.13), the growth condition , the convexity, monotonicity and property of (3.3) with constant and (7.8). Indeed, we have
[TABLE]
where is a constant depending on (through ) and .
We then prove (7.8). With fixed , by Definition 5.21 of the quasiconvexification of , corresponding to there exists such that on , a.e. and
[TABLE]
The function is Lipschitz and on , so that by degree theory . Moreover, it is well known (see, e.g. [40, Th. 8]) that is invertible and that . For the sake of brevity, we set .
For that will be suitably chosen later, we consider , set and
[TABLE]
We then have in , and .
Since , by [36, Lemma 5.2] and [14, Lemma A.2], there exists a -null set such that for all we have that , . Moreover, since we have and then . Choose and using Lemma 7.2 applied to with , and . Then, by (7.7), we obtain
[TABLE]
with depending on and .
With (7.10), (7.3) implies whence, in view of (7.2), we also obtain . This ensures that complies with the integrability assumption (5.9) of Lemma 5.18 on . Furthermore, from (7.1) we deduce that . Therefore, since a.e., from the absolute continuity of the integral there exists a constant such that
[TABLE]
where is the smallest constant such that , and
[TABLE]
where is the constant of (7.3).
Let and . Since by assumption , is continuous in , there exists not depending on , or with and such that
[TABLE]
for all , complying with , and . In addition, by Proposition 5.22 and the continuity of , the number can be chosen in order to obtain
[TABLE]
for all and satisfying .
We set , and write
[TABLE]
as the sum of the four integrals
[TABLE]
which will be estimated separately. From (7.10) we immediately deduce that
[TABLE]
To estimate , we first define the set
[TABLE]
and then we use (7.15) to get
[TABLE]
In , instead, we use the Chebyshev’s inequality (3.14), the -condition (3.3) and (7.7) to obtain, with (7.17),
[TABLE]
Thus,
[TABLE]
where .
For what concerns the estimate of , we consider the sets
[TABLE]
where and are the same as of (7.14). With the change of variables , we can rewrite as
[TABLE]
and it holds that
[TABLE]
We use (7.14) and (7.19) on the set , and (7.3) on to get
[TABLE]
Now, the change of variables and (7.13) give
[TABLE]
On the other hand, since for every it holds that , we infer that . Then, as a consequence of (7.7), and the Chebyshev’s inequality we get
[TABLE]
with the constant depends only on , and .
Therefore, we conclude that there exists a constant depending on and but not on such that
[TABLE]
where .
Now, we are left to estimate the integral . For this, we introduce the set
[TABLE]
We note that, for every ,
[TABLE]
and that in we have and . We then get
[TABLE]
whence, combined with (7.14), we infer that
[TABLE]
Using the growth estimate (7.3) we obtain
[TABLE]
Now, with , the monotonicity of and (7.1) we get that, in ,
[TABLE]
To estimate in , we note that from , the triangle inequality and the properties of we deduce that
[TABLE]
and
[TABLE]
Therefore, setting
[TABLE]
from (7.21), (7.22)-(7.23) and (7.11) we obtain
[TABLE]
where depends on , , and but not on .
In we have and . Then we deduce that and, by virtue of the continuity estimate (7.15), we also obtain . Now, from (7.21) again, we infer that
[TABLE]
with depending only on . Finally, by virtue of (7.12) we get
[TABLE]
and, consequently,
[TABLE]
Adding term by term the estimates (7.24), (7.20), (7.16) and (7.18) we find
[TABLE]
Since all the constants in the estimate above do not depend on , we may choose any complying with
[TABLE]
With the growth condition (7.3), we find that and, consequently, . Furthermore, since was chosen so that , Lemma 5.18 gives and the proof is concluded.
∎
With the next proposition, we obtain the limsup inequality (7.6). The strategy of the proof, based on the argument of [36, Lemma 6.3] (see also [14, Lemma 3.3] for the case with only the mechanical term), is to apply Lemma 7.3 around each Lebesgue point of and . We exhibit the construction of a mutual recovery sequence providing a limsup inequality for both the mechanical term (7.25) and the nematic term (7.26) separately. The desired inequality (7.6) then will follow immediately from the subadditivity of the limsup.
Proposition 7.4**.**
Let be open, bounded and with Lipschitz boundary, and assume that satisfies -. Then for any and any , there exist two sequences \mathbf{u}_{j}\in\mathcal{A}_{{\color[rgb]{1,0,0}\beta}}(\Omega) and such that in , on , for all , in ,
[TABLE]
and
[TABLE]
Proof.
The proof of (7.26) is immediate. Indeed, by virtue of Theorem 5.24 there exists a sequence such that in and
[TABLE]
As for (7.25), we note that if , we can choose the constant sequence . Thus, from now on we will assume that is integrable on . We preliminarly prove the following Claim.
Claim: Let be a nonincreasing sequence of numbers such that as . Assume that, for every , there exists such that
[TABLE]
on , and
[TABLE]
Let be the sequence defined above. Then, up to a subsequence, (7.25) holds.
Proof of Claim: First, (7.27) implies that in and, with (7.28) and (7.3), we can deduce the uniform bound . Thus, up to a subsequence (not relabeled), in . On the other hand, since a.e. in and satisfies Lusin’s condition of Definition 4.1 (this is a consequence of the fact that a.e. in ; see, e.g., [6, Lemma 2.8(c)]), for every we have a.e. in as . Therefore, using () we obtain
[TABLE]
Now, an application of the Theorem of dominated convergence to (7.29) gives
[TABLE]
so that for each we can take large enough to have, with (7.28),
[TABLE]
Therefore, relabelling the sequence we have
[TABLE]
and the proof of Claim is complete.
From (7.3), the convexity of and and the definition of we have
[TABLE]
since the left-hand side of the inequality above is polyconvex and then quasiconvex. With , we deduce, in particular, that and are integrable. On the other hand, we have , since is measurable in view of [6, Lemma 7.7].
Now we focus on the construction of the sequence , whose existence was assumed in the statement of the Claim. Denoting by the intersection of the sets of Lebesgue points of , and , we apply Lemma 7.3 to every point in . For this, given , we fix and , and choose as in Lemma 7.3 for these , and .
Setting and , we will construct by induction a sequence such that, for every ,
(i) ;
(ii) , ;
(iii) on ;
(iv) .
Assume that the sequence has been constructed until some . Then is defined from as follows.
For all we choose such that , defined by Proposition 5.10(ii) and
[TABLE]
for all . The union of this collection of balls covers up to a null set. From this covering, we extract a finite disjoint family such that
[TABLE]
We define on and as the function of Lemma 7.3 in each of the balls . Then on and by virtue of Lemma 5.18, we get . Now, let be the ball given by Lemma 7.3 and choose an increasing sequence of open sets such that , , and for all . Then, and coincide in a neighbourhood of each , so that and , since the degree only depends on the boundary values.
Therefore, , and, by applying (iv) iteratively, .
Moreover, by Lemma 7.3 applied with in place of , we obtain
[TABLE]
and
[TABLE]
We set . Clearly, on , and it holds that . In particular,
[TABLE]
Thus, complies with (i)-(iv) above and the construction is complete.
Now, we are left to show that for large enough, satisfies (7.28) and that is uniformly small. As for the latter, from (7.31) we have
[TABLE]
so is close to in , independently of . On the other hand, from (7.30) we obtain
[TABLE]
which implies
[TABLE]
Using (7.32) and the fact that, from (7.3), is integrable (since and are integrable), for large enough we get
[TABLE]
and the proof is concluded.
∎
7.1 Relaxation
The following general abstract result (see, e.g., [2, Proposition 11.1.1, Theorem 11.1.1]) will allow us to identify with the lower semicontinuous envelope of the energy with respect to the topology.
Proposition 7.5**.**
The function defined, for every , as
[TABLE]
*is the lower semicontinuous envelope of with respect to the topology; i.e., the greatest lower semicontinuous function less than . Moreover, the function is characterized by the following assertions:
(i)
for every , ;
(ii)
there exists a sequence such that .
Since, by definition, , Proposition 7.5 with Proposition 6.2(ii) and Theorem 7.1 imply that . This result, combined with the compactness theorem (Proposition 6.2(i)) and the general relaxation theorem in countable topological spaces (see, e.g., [2, Theorem 11.1.2]) gives the following final relaxation theorem.
Theorem 7.6**.**
*Let satisfy - and let satisfy . Assume is polyconvex. Then is the lower semicontinuous envelope of with respect to the topology and coincides with (7.33). If, in addition, , then
(a)
* admits a minimizer;*
(b)
For every minimizer of , there exists a minimizing sequence for such that in ;
(c)
Every minimizing sequence of converges, up to a subsequence in , to a minimizer of .
Acknowledgements
The authors are members of Gruppo Nazionale per l’Analisi Matematica, la Probabilità e le loro Applicazioni (GNAMPA) of INdAM. The research of B. S. was supported by University of Naples Project VAriational TECHniques in Advanced MATErials (VATEXMATE) and by PRIN Project 2017TEXA3H. The project was carried out during the visit of B. S. to the Isaac Newton Institute for Mathematical Sciences. She would like to thank the Isaac Newton Institute for Mathematical Sciences for support and hospitality during the programme “ The mathematical design of new materials ”when work on this paper was undertaken. This work was supported by: EPSRC grant number EP/R014604/1”. G. S. was supported by the Italian Ministry of Education, University and Research through the Project “Variational methods for stationary and evolution problems with singularities and interfaces” (PRIN 2017). The authors gratefully acknowledge the anonymous referee for a careful reading of the paper and for the interesting remarks leading to improvements of the manuscript.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] R. A. Adams, Sobolev Spaces , Academic Press, New York, 1975.
- 2[2] H. Attouch, G. Buttazzo and G. Michaille, Variational Analysis in Sobolev and BV Spaces: Applications to PD Es and Optimization (Mps-Siam Series on Optimization 6), Society for Industrial and Applied Mathematics, Philadelphia, PA, USA (2005).
- 3[3] J. M. Ball, Convexity conditions and existence theorems in nonlinear elasticity, Arch. Rational Mech. Anal. 63 (1977), 337–403.
- 4[4] J. M. Ball and F. Murat, W 1 , p superscript 𝑊 1 𝑝 W^{1,p} -quasiconvexity and variational problems for multiple integrals, J. Funct. Anal. 58 (3) (1984), 255–253.
- 5[5] M. Barchiesi and A. De Simone, Frank energy for nematic elastomers: a nonlinear model, ESAIM Control Optim. Calc. Var. , 21 (2015), 277–372.
- 6[6] M. Barchiesi, D. Henao and C. Mora-Corral, Local Invertibility in Sobolev Spaces with Applications to Nematic Elastomers and Magnetoelasticity, Arch. Rational Mech. Anal. 224 (2017), 743–816.
- 7[7] C. Bennett and R. Sharpley, Interpolation of Operators , vol. 129 of Pure and Applied Mathematics. Academic Press Inc., Boston, MA, (1988).
- 8[8] M. C. Calderer, C. A. Garavito Garzón and C. Luo, Liquid crystal elastomers and phase transitions in actin rod networks, SIAM J. Appl. Math. , 74 (2014), 649–675.
