Quasiconvex relaxation of isotropic functions in incompressible planar hyperelasticity
Robert J. Martin, Jendrik Voss, Ionel-Dumitrel Ghiba, Patrizio Neff

TL;DR
This paper derives an explicit formula for the quasiconvex envelope of isotropic functions on SL(2), aiding the analysis of incompressible planar hyperelastic materials by connecting relaxation techniques with isotropic energy properties.
Contribution
It provides a novel explicit formula for quasiconvex envelopes of isotropic functions on SL(2), combining previous relaxation results with recent equivalence findings in planar elasticity.
Findings
Explicit quasiconvex envelope formula for isotropic functions on SL(2)
Connection between polyconvexity and rank-one convexity in planar elasticity
Enhanced understanding of energy relaxation in incompressible hyperelasticity
Abstract
In this note, we provide an explicit formula for computing the quasiconvex envelope of any real-valued function with for all and all , where and denote the special linear group and the special orthogonal group, respectively. In order to obtain our result, we combine earlier work by Dacorogna and Koshigoe on the relaxation of certain conformal planar energy functions with a recent result on the equivalence between polyconvexity and rank-one convexity for objective and isotropic energies in planar incompressible nonlinear elasticity.
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Quasiconvex relaxation of isotropic functions in incompressible planar hyperelasticity
Robert J. Martin Corresponding author: Robert J. Martin, Lehrstuhl für Nichtlineare Analysis und Modellierung, Fakultät für Mathematik, Universität Duisburg–Essen, Campus Essen, Thea-Leymann Straße 9, 45141 Essen, Germany, email: [email protected]
Jendrik Voss Jendrik Voss, Lehrstuhl für Nichtlineare Analysis und Modellierung, Fakultät für Mathematik, Universität Duisburg–Essen, Thea-Leymann Str. 9, 45127 Essen, Germany; email: [email protected]
Ionel-Dumitrel Ghiba and Patrizio Neff Ionel-Dumitrel Ghiba, Alexandru Ioan Cuza University of Iaşi, Department of Mathematics, Blvd. Carol I, no. 11, 700506 Iaşi, Romania; and Octav Mayer Institute of Mathematics of the Romanian Academy, Iaşi Branch, 700505 Iaşi, email: [email protected] Patrizio Neff, Head of Lehrstuhl für Nichtlineare Analysis und Modellierung, Fakultät für Mathematik, Universität Duisburg–Essen, Campus Essen, Thea-Leymann Straße 9, 45141 Essen, Germany, email: [email protected]
(March 9, 2024)
Abstract
In this note, we provide an explicit formula for computing the quasiconvex envelope of any real-valued function with for all and all , where and denote the special linear group and the special orthogonal group, respectively. In order to obtain our result, we combine earlier work by Dacorogna and Koshigoe on the relaxation of certain conformal planar energy functions with a recent result on the equivalence between polyconvexity and rank-one convexity for objective and isotropic energies in planar incompressible nonlinear elasticity.
Key words: quasiconvexity, rank-one convexity, polyconvexity, quasiconvex envelopes, nonlinear elasticity, incompressibility, hyperelasticity, relaxation, microstructure
**AMS 2010 subject classification: 26B25, 26A51, 49J45, 74B20 **
Contents
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2 Generalized convexity properties of incompressible energy functions
-
3 The quasiconvex envelope of objective and isotropic functions on
1 Introduction
A classical task in nonlinear hyperelasticity is to minimize an energy functional of the form
[TABLE]
under certain boundary conditions, where represents the reference configuration of an elastic body. The elastic behaviour of the body is completely determined by the choice of a particular energy density depending on the deformation gradient . In the compressible case, since the exclusion of (local) self-intersection implies , the domain of the energy is restricted to the group of – matrices with positive determinant. Modeling deformations of incompressible materials [14], on the other hand, requires the stronger constraint ; in this case, the natural domain of the energy is given by the special linear group .
In order to ensure the existence of minimizers for functionals of the form (1.1), it is necessary to pose additional conditions on the energy density . The most common requirements for this purpose are certain generalized convexity properties: Since classical convexity of leads to physically unreasonable material behaviour [29], weakened notions of convexity are usually considered, the most important ones being rank-one convexity, quasiconvexity and polyconvexity.
Compared to functions defined on the full matrix space , the restricted domain of the energy poses additional challenges with respect to these convexity properties (a number of which were famously addressed and solved by John Ball in his seminal 1977 paper [4, 5]), but also allow for obtaining some significantly simplified criteria. In particular, under the additional assumptions of objectivity and isotropy, a large number of necessary and sufficient criteria for rank-one convexity and polyconvexity of energy functions on and have been given in the literature [20, 21, 1, 11, 28, 3, 29, 13, 25, 23].
In the two-dimensional case of planar elasticity, the above generalized convexity properties can be simplified even further. In addition to the well-known observation that polyconvexity and convexity111A function on a non-convex domain , e.g. on or , is called convex if there exists a convex function with for all , cf. Definition 2.2.
of a function are equivalent,222Under the constraint , any polyconvex representation can be reduced to a convex function in terms of , cf. [15, Lemma B.1]. it was recently demonstrated that in the planar incompressible case, these properties are in turn equivalent to the (generally weaker) rank-one convexity and quasiconvexity for isotropic and objective energy functions [15]. Based on these earlier results, this note provides an explicit relaxation result which allows for a direct computation of the quasiconvex envelope of any isotropic and objective function .
2 Generalized convexity properties of incompressible energy functions
Apart from classical convexity, we will consider the following weakened convexity properties of planar energy functions with values in .
Definition 2.1**.**
Let . Then is called
- •
rank-one convex if for all , and with ,
[TABLE]
- •
quasiconvex if for every bounded open set and all smooth functions with compact support,
[TABLE]
- •
polyconvex if
[TABLE]
For an incompressible planar energy, i.e. a finite-valued function defined on the domain only, we will employ the following definitions.
Definition 2.2**.**
Let . Then is called rank-one convex [quasiconvex/polyconvex] if the function
[TABLE]
is rank-one convex [quasiconvex/polyconvex] in the sense of Definition 2.1. Furthermore, is called convex if there exists a convex function such that for all .
Defining quasiconvexity for functions which may attain the value is often avoided completely since, in this case, it no longer implies the weak lower semicontinuity of the associated energy functional [9, 4]. Furthermore, a quasiconvex function with values in is not necessarily rank-one convex in general [9]. However, for the incompressible case considered here (i.e. if and only if ), quasiconvexity of does indeed imply rank-one convexity, as shown by Conti [7].
Note also that for , the existence of a polyconvex representation can be reduced to the case where if and only if . Thereby, is reduced to a (convex) function in terms of , which implies that is polyconvex if and only if (or rather an extension of to the domain ) is convex (cf. [15, Lemma B.1]).
2.1 Generalized convex envelopes
For each of the convexity properties considered in the previous section, we can define a corresponding envelope of an arbitrary function on .
Definition 2.3**.**
Let be bounded below. Then the rank-one convex, quasiconvex, polyconvex and convex envelopes of are respectively defined by
[TABLE]
Again, these definitions can be applied to functions defined on via the natural extension of the domain to .
Definition 2.4**.**
Let . Then the rank-one convex, quasiconvex, polyconvex and convex envelope of are defined by
[TABLE]
in the sense of Definition 2.3, where
[TABLE]
Remark 2.5**.**
The implications
[TABLE]
which hold for any function (cf. [9, 7]), immediately imply the inequalities
[TABLE]
The quasiconvex envelope, in particular, plays an important role in relaxation approaches to non-quasiconvex minimization problems: If, for an energy of the form (1.1), the existence of minimizers under boundary conditions cannot be ensured, then the infimum of the attained energy values might in many cases be obtained instead by minimizing the relaxed functional [9, Chapter 9]
[TABLE]
Such relaxation methods are used, for example, in the modeling of materials with complex microstructures [19, 8].
In general, computing the quasiconvex envelope of a given energy is a rather difficult problem, with explicit representations being available only for a small number of special cases [11, 22]. The main result of this note (Theorem 3.5), however, shows that in the objective and isotropic case of planar incompressible energies, this task can be accomplished by simple analytical methods.
3 The quasiconvex envelope of objective and isotropic functions on
It is well known that any objective and isotropic function can be expressed in terms of singular values,333In nonlinear elasticity, the singular values of the deformation gradient , which coincide with the eigenvalues of both the material stretch tensor and the spatial stretch tensor , are also called principal stretches. i.e. there exists a symmetric function such that for all with singular values . The corresponding representation of a planar incompressible energy can be simplified even further.
Lemma 3.1**.**
Let be an objective and isotropic function. Then there exist uniquely defined functions , and such that for all with singular values ,
[TABLE]
where .
Note that for all and for all due to the isotropy of . Furthermore, it is easy to see that for any real-valued function or any with for all , an objective and isotropic energy is defined by (3.1).
Different representations, for example in terms of the squared Frobenius matrix norm , have been considered in the literature as well [1] (cf. [13]). However, expressing in the form (3.1) allows for stating convexity criteria in particularly simple terms (cf. Theorem 3.4).
In view of Lemma 3.1, the equality
[TABLE]
which holds for any , suggests a direct connection between the notion of convex envelopes in the incompressible case and an earlier relaxation result by Dacorogna and Koshigoe [11].
Proposition 3.2** ([11, Proposition 5.1], cf. [30]).**
Let be of the form
[TABLE]
for some . Then
[TABLE]
where is the Legendre-transformation of the extended function
[TABLE]
and .
Remark 3.3**.**
Since is finite valued on , the equality between the biconjugate and the convex envelope of holds if is bounded below [9, Theorem 2.43].
Due to (3.2), the restriction W={\overline{W}}\big{|}_{\operatorname{SL}(2)} of any function of the form (3.3) to can be written as
[TABLE]
for , i.e. in the form (3.1) with and . Similarly, any objective and isotropic can be uniquely extended to a function of the form (3.3) by letting or, equivalently, .
However, despite this striking connection, Proposition 3.2 is not immediately applicable to the case of functions defined on : Note carefully that the convex envelopes in eq. (3.4) take into account not only the value of on , but also the value of a specific extension of to . The underlying difference is that the notion of (generalized) convexity on a subset of (cf. Definition 2.2) requires to have any extension to satisfying the respective convexity property, which is, a priori, not necessarily of the form (3.3).
On the other hand, Proposition 3.2 can be used to obtain lower bounds for the envelopes of incompressible energies; particularly,
[TABLE]
for any objective and isotropic function and all , where denotes the extension of described above. Again, note carefully that it is not immediately obvious whether equality holds in (3.5).
In order to fully establish a result similar to Proposition 3.2 in the incompressible case, we will require the following criteria for generalized convexity properties.
Theorem 3.4** ([15]).**
Let be an objective and isotropic function. Then the following are equivalent:
- i)
* is rank-one convex,*
- ii)
* is polyconvex,*
- iii)
the function with for all with singular values is convex,
- iv)
the function with W(F)=\phi(\sqrt{\lVert F\rVert^{2}-2})=\phi\Bigl{(}\lambda_{\text{\rm max}}(F)-\displaystyle\frac{1}{\lambda_{\text{\rm max}}(F)}\Bigr{)} is nondecreasing and convex.
The characterization of polyconvex energies on by criterion iv) in Theorem 3.4 is originally due to Mielke [25]. A criterion for the rank-one convexity of a twice differentiable energy in terms of the representation has previously been given by Abeyaratne [1].
Using Theorem 3.4, it is possible to find an explicit representation of the generalized convex envelopes , , and for any isotropic and objective function on .
Theorem 3.5**.**
Let be objective, isotropic and bounded below. Then
[TABLE]
for all with singular values , where and denotes the monotone-convex envelope of , given by
[TABLE]
i.e. the largest monotone and convex function bounded above by .
Proof.
Since for all , it is easy to see (cf. [11]) that for all and thus, in particular,
[TABLE]
for all . Furthermore, Remark 2.5 establishes the inequalities , thus it remains to show that .
According to Lemma 3.1, there exists a uniquely determined such that for all with singular values .444Note that the rank-one convex envelope of an objective and isotropic function is itself objective and isotropic [6]. Due to the rank-one convexity of and Theorem 3.4, the function is convex. Since
[TABLE]
as well, we find for all and thus
[TABLE]
for all .
Now, in order to establish the remaining inequality , let
[TABLE]
denote the unique extension of to of the form (3.3). Then using (3.5) and Remark 3.3, we find
[TABLE]
for all with singular values . ∎
Another result similar to Theorem 3.5 has previously been obtained [24] for so-called conformally invariant functions on , i.e. any satisfying
[TABLE]
where denotes the special orthogonal group. In addition to being objective and isotropic, such a function is isochoric, i.e. invariant under (purely volumetric) scaling of the deformation gradient .
Remark 3.6**.**
Due to eq. (3.6), the problem of finding the quasiconvex (as well as the rank-one convex and the polyconvex) envelope of reduces to the task of computing the convex envelope of a scalar function. This latter problem can, for example, be solved by using Maxwell’s equal area rule [29, p. 319] and often admits a direct analytical solution.
Combining Theorem 3.5 with Proposition 3.2 also yields the following relation between the envelopes of incompressible energies and their extensions to of the form ; recall from Remark 3.3 that if is bounded below.
Corollary 3.7**.**
Let be objective, isotropic and bounded below. Define
[TABLE]
where is the uniquely determined function with for all with singular values . Then
[TABLE]
As a simple example, we consider the restriction of the classical Alibert–Dacorogna–Marcellini energy [2, 12]
[TABLE]
to the special linear group , i.e.
[TABLE]
where denotes the Frobenius norm. It was shown by Alibert, Dacorogna and Marcellini [2, 12] that different convexity properties hold for depending on the exact value of , which strictly distinguishes convexity (), polyconvexity () and rank-one convexity (); the question whether is not quasiconvex for some is still open [10].
In the incompressible case, of course, the energy is simplified considerably; in particular, is convex for any as the composition of a monotone and convex function with the convex mapping . In general, since (using the equality ) we find
[TABLE]
for all with singular values , the function can be expressed as with
[TABLE]
Then is nonnegative for all if and only if , thus according to Theorem 3.4, is rank-one convex, quasiconvex polyconvex and/or convex on only if . For , we can explicitly compute the convex envelope (cf. Figure 1)
[TABLE]
of and use Theorem 3.5 to find the generalized convex envelopes of , which are given by
[TABLE]
for any with singular values .
A further classical example of an elastic energy applicable to the incompressible case is given by the logarithmic Hencky strain energy [17, 18, 26, 27, 16]
[TABLE]
where denotes the principal matrix logarithm of the stretch tensor . Note that for , can equivalently be expressed as
[TABLE]
where is the deviatoric part of and denotes the identity matrix. Since
[TABLE]
the representation of the Hencky energy is given by
[TABLE]
Due to the sublinear growth of , we find and thus, using Theorem 3.5,
[TABLE]
4 References
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] R.C. Abeyaratne “Discontinuous deformation gradients in plane finite elastostatics of incompressible materials” In Journal of Elasticity 10.3 , 1980, pp. 255–293
- 2[2] Jean-Jacques Alibert and Bernard Dacorogna “An example of a quasiconvex function that is not polyconvex in two dimensions” In Archive for Rational Mechanics and Analysis 117.2 Springer, 1992, pp. 155–166
- 3[3] Gilles Aubert “Necessary and sufficient conditions for isotropic rank-one convex functions in dimension 2” In Journal of Elasticity 39.1 , 1995, pp. 31–46
- 4[4] J. M. Ball “Convexity conditions and existence theorems in nonlinear elasticity” In Archive for Rational Mechanics and Analysis 63.4 Springer, 1976, pp. 337–403
- 5[5] J. M. Ball “Constitutive inequalities and existence theorems in nonlinear elastostatics” In Nonlinear Analysis and Mechanics: Heriot-Watt Symposium 1 , 1977, pp. 187–241 Pitman Publishing Ltd. Boston
- 6[6] G Buttazzo, Bernard Dacorogna and Wilfrid Gangbo “On the envelopes of functions depending on singular values of matrices” In Bollettino dell’Unione Matematica Italiana, VII. Ser., B 8 , 1994, pp. 17–35
- 7[7] Sergio Conti “Quasiconvex functions incorporating volumetric constraints are rank-one convex” In Journal de Mathématiques Pures et Appliquées 90.1 Elsevier, 2008, pp. 15–30
- 8[8] Sergio Conti and Klaus Hackl “Analysis and Computation of Microstructure in Finite Plasticity” Springer, 2015
