Variational Convergence of Discrete Geometrically-Incompatible Elastic Models
Raz Kupferman, Cy Maor

TL;DR
This paper develops a continuum elastic model as a limit of discrete models on curved manifolds, revealing that stress-free states only occur when the underlying geometry is flat, with implications for incompatible elasticity.
Contribution
It introduces a variational limit framework for discrete incompatible elastic models on curved manifolds, establishing a fundamental rigidity property related to curvature.
Findings
Stress-free configurations only exist if the manifold is flat.
The continuum limit captures the geometric incompatibility.
Results generalize to higher dimensions.
Abstract
We derive a continuum model for incompatible elasticity as a variational limit of a family of discrete nearest-neighbor elastic models. The discrete models are based on discretizations of a smooth Riemannian manifold , endowed with a flat, symmetric connection . The metric determines local equilibrium distances between neighboring points; the connection induces a lattice structure shared by all the discrete models. The limit model satisfies a fundamental rigidity property: there are no stress-free configurations, unless is flat, i.e., has zero Riemann curvature. Our analysis focuses on two-dimensional systems, however, all our results readily generalize to higher dimensions.
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Variational Convergence of Discrete Geometrically-Incompatible Elastic Models
Raz Kupferman111Institute of Mathematics, The Hebrew University. and Cy Maor222Department of Mathematics, University of Toronto.
Abstract
We derive a continuum model for incompatible elasticity as a variational limit of a family of discrete nearest-neighbor elastic models. The discrete models are based on discretizations of a smooth Riemannian manifold , endowed with a flat, symmetric connection . The metric determines local equilibrium distances between neighboring points; the connection induces a lattice structure shared by all the discrete models. The limit model satisfies a fundamental rigidity property: there are no stress-free configurations, unless is flat, i.e., has zero Riemann curvature. Our analysis focuses on two-dimensional systems, however, all our results readily generalize to higher dimensions.
Contents
1 Introduction
Incompatible, or non-Euclidean elasticity is a model of pre-stressed materials, in which the elastic body is modeled as an oriented Riemannian manifold with boundary (usually ). The metric , often called a reference metric, represents local equilibrium distances between neighboring material elements. The elastic energy of a configuration is a measure of distortion; it quantifies how far is from being an isometry. If we denote the (non-negative) elastic energy density by , then
[TABLE]
where , is the Euclidean metric and is the set of orientation-preserving isometries . If the curvature tensor of is not identically zero, then there are no isometric immersions . Thus, the elastic energy associated with every configuration is positive even in the absence of external forces or boundary conditions. In other words, there are no stress-free configurations (and under some mild coercivity conditions on , the infimum energy is also positive [LP10, KMS19]). This is in contrast to classical elasticity, where the existence of a stress-free configuration is assumed explicitly—the reference configuration—which amounts to assuming that is flat.
The study of non-Euclidean elasticity was initiated in the 1950s [Nye53, Kon55, BBS55], followed later by [Wan67, Krö81] and others. In these works, incompatibility is due to material defects, such as disclinations, dislocations and point-defects. In recent years, the scope of incompatible elasticity has been extended significantly, encompassing differential growth [GB05, Yav10], humidity-driven expansion and shrinkage [AESK11], thermal expansion [OY09], responsive gels [KES07] and more.
A central theme in continuum mechanics is the derivation of continuum models from discrete particle models. A prototypical example is the modeling of an elastic medium by a collection of point masses interconnected by (possibly nonlinear) springs. One then analyzes the convergence of the discrete model as the spacing between adjacent particles tends to zero. There is a wealth of work addressing the discrete-to-continuum limit, both in the context of crystalline structures and disordered, or amorphous media (see e.g., references in [Bra02, p. 84]; for a more recent treatment see e.g., [LR13] and the references therein). However, to the best of our knowledge, there are no such results in the context of non-Euclidean elasticity, in which the limiting model satisfies Property (1.1). The goal of this paper is to derive a continuum model for non-Euclidean elasticity as a limit of a certain class of discrete models, and to provide a framework for studying the limit of other classes of discrete models.
The derivation of a continuum model as a limit of discrete models requires a well-defined limiting process, that is, a family of discrete models parametrized by decreasing inter-particle separations. In a Euclidean body, this construction is natural—a global lattice structure can be defined by Cartesian coordinates, yielding a family of lattices (e.g., hexagonal or cubic) of varying scale. In a manifold endowed with a non-Euclidean metric, there are no canonical choices of lattices; supplementary geometric information must be prescribed in order to specify a lattice structure.
A natural construct, which the body manifold can be endowed with, and through which a parametrized family of lattices can be defined is a flat affine connection . In general, an affine connection defines parallel transport of tangent vectors along paths. If the connection is flat (and the manifold is simply-connected), parallel transport is path-independent, and in particular, there exist parallel frame fields. In the context of this paper, parallel frame fields represent the underlying lattice directions, or equivalently, they define how lattice directions transform between different points in the body. In materials science, an affine connection models distributions of defects; the defect density is represented by the tensorial fields—curvature, torsion and non-metricity—that define the connection. For a more detailed discussion on defects and affine connections see the classical papers [Wan67, Krö81], or more recently [YG12, KM15, KMR18].
Description of main results
In this paper, we derive a continuum model for a residually-stressed elastic body as a variational limit of discrete models; the limit functional satisfies Property (1.1), hence the limit model does not admit a reference configuration unless the reference metric is flat. For the sake of clarity, we present results in a two-dimensional setting; higher dimensional generalizations are discussed at the end of the paper.
The discrete model is based on a flat and symmetric connection and an underlying hexagonal lattice. The lattice is defined by three crystallographic axes , which are -parallel vector fields spanning , satisfying . For every , is triangulated such that the distance between every two adjacent vertices is of order and the -geodesic connecting them is parallel to a crystallographic axis. As we show, the flatness and the symmetry of make such a triangulation possible.
Given , denote by the vertices of the triangulation. A discrete configuration is a mapping . To every discrete configuration corresponds an energy comprising two nearest-neighbor contributions: one contribution is a pairwise bond term, penalizing incompatible distances between two adjacent vertices; the other contribution is a three-point volume term, penalizing incompatibility in the signed volume of triangles. The volume term is natural both from physical and analytic perspectives, as it penalizes for orientation-reversal, or “folding”. From a physical perspective, the volume term implies an energy cost for material interpenetration; from an analytic perspective, a nearest-neighbor model indifferent to folding cannot yield Property (1.1) in the limit.
Our main results are (i) the family of discrete energies -converges, as , in a strong topology (Theorem 4.1); to this end we embed discrete configurations into via a standard affine extension. (ii) The limit functional satisfies Property (1.1) and frame-invariance (left SO-symmetry) (Proposition 5.1); an additional discrete right symmetry and a material homogeneity property are obtained under additional assumptions (Section 5.1).
Comparison with previous results
To the best of our knowledge, the only existing work on a discrete-to-continuum limit in non-Euclidean elasticity is the work of Lewicka and Ochoa [LO15]. In [LO15], a family of discretizations is constructed by designating a distinguished coordinate chart and constructing cubic lattices in these coordinates. This construction is equivalent to a choice of a flat, symmetric connection , so while differing in terminology, the construction in [LO15] is similar to ours.
The limiting model obtained in [LO15] has one major drawback: Property (1.1) is not satisfied; this follows immediately from [LO15, Lemma 4.1], and manifests in [LO15, Example 6.3]. This drawback is due to the fact that the energy only accounts for pairwise bond energies in a cubic lattice. A nearest-neighbor model in a cubic lattice does not penalize shear and as a result, neither does the limiting continuum model. Moreover, pairwise bond energy does not penalize for orientation-reversal, or folding; as a result, the convexification occurring in the limit process yields a limit energy indifferent to contractions.
These problems may disappear if one considers non-nearest-neighbor interactions; however, these cases are much harder to analyze. Non-nearest-neighbor interactions were considered in [LO15]. They obtained bounds for the limit energies ( and inequalities); the lower bounds, however, do not satisfy Property (1.1).
Physical interpretation of the model and future directions
In this paper, we derive the limit energy of an incompatible elastic body endowed with a flat, symmetric connection. Such a model may be relevant to several physical settings. One such setting is that of a body undergoing differential expansion (or shrinkage); initially the metric is Euclidean and the body is endowed with a lattice structure conforming with that metric. After expansion, the body acquires a new reference metric—a non-Euclidean one—while retaining the original lattice structure. This setting is a lattice-equivalent of the settings considered in various recent experimental and theoretical works [ESK09, OY09]. Another type of systems modeled by flat symmetric connections consists of bodies containing distributed point-defects; see [KMR18].
Mathematically, flat symmetric connections are the easiest to handle: their specification is equivalent to choosing a distinguished coordinate chart on , and declaring the frame fields to be parallel. Our choice of working with a connection rather than with a distinguished coordinate chart emphasizes the geometric and the physical meaning of the underlying lattice structure; in particular, some of the properties of the limit energy, e.g., material homogeneity (existence of a material connection), are more naturally formulated and derived in this framework.
All the above-mentioned models assume an underlying lattice structure; in particular, the limit models are not isotropic. Another important future direction is obtaining the isotropic elastic energy of an amorphous pre-stressed elastic body. A possible approach is using a random discretization of the manifold, similar to the work of [ACG11] in the Euclidean case.
Structure of the paper
In Section 2 we derive key properties of flat symmetric connections and define the affine extension of functions defined on the vertices of geodesic triangles. In Section 3 we define the discrete elastic models. In Section 4 we prove the variational convergence of the discrete elastic models. In Section 5 we prove key properties of the limit functional, and notably Property (1.1). In Section 6 we discuss various possible extensions of this work, including higher dimensions, different lattice structures and models forbidding interpenetration.
2 Flat symmetric connections and affine extensions
Throughout this paper, is assumed to be a smooth, simply-connected manifold, possibly with a smooth boundary. Let be a flat connection on . As is well-known, the parallel transport induced by a flat connection on a simply-connected manifold is path-independent. We denote the parallel transport operator by
[TABLE]
For , we denote by the exponential map at , where is a convex neighborhood of the origin in , such that is a smooth embedding.
We start this section by establishing a number of properties pertinent to flat, symmetric connections:
Lemma 2.1
Let be a simply-connected -dimensional manifold, , and let be a flat, symmetric connection on . Let and let be independent vectors, such that . Then,
[TABLE]
Proof.
Define the parallel vector fields given by
[TABLE]
Since and are parallel and since the connection is symmetric, it follows that . It is well-known that the flows induced by commuting flow fields satisfy the additive relation (follows from [Lee06, Prop. 18.5]). Finally, the flow induced by a parallel frame field is related to the exponential map via
[TABLE]
Thus,
[TABLE]
and
[TABLE]
∎
The following corollary results immediately from Lemma 2.1, applied to the segment .
Corollary 2.2
For , the map maps straight segments in into -geodesics (note that for general connections, this is only true for lines through the origin).
Lemma 2.3
Let the setting by the same as in Lemma 2.1. Then,
[TABLE]
Proof.
By definition, for ,
[TABLE]
The first and the third equalities follow from the definition of the differential. In the second equality we used Lemma 2.1; in the last one we used the fact that the differential of the exponential map at the origin is the identity map. ∎
From now on we focus on two-dimensional manifolds endowed with a flat, symmetric connection .
Corollary 2.4
Let and
[TABLE]
for . Then,
[TABLE]
Moreover, the interior of the -geodesic triangle whose vertices are , and is given by
[TABLE]
In other words, is the image under of the triangle
[TABLE]
whose vertices are [math], and .
Proof.
If follows from Lemma 2.1 that
[TABLE]
The fact that the triangle is the image of is an immediate consequence of the previous corollary, whereby straight lines in are mapped into -geodesics; in particular, the curve , is the geodesic between and . ∎
Let , and be defined as in Corollary 2.4. Suppose that the values of a real-valued function are prescribed at the points . We define the extension of in the geodesic triangle as follows:
[TABLE]
It immediately follows from the definition that the function is a real-valued affine function on :
Proposition 2.5
Let and be defined as above. The differential of satisfies
[TABLE]
Proposition 2.6
Let and be defined as above. is affine in the following sense: for every ,
[TABLE]
Proof.
By definition,
[TABLE]
where and . Taking
[TABLE]
we obtain
[TABLE]
Let . Then, using once again Lemma 2.1,
[TABLE]
where the last equality follows from Proposition 2.5. The other statements are analogous. ∎
3 Discrete elastic model
Let be a compact two-dimensional Riemannian manifold; for simplicity, we assume to be a topological disc with a smooth boundary. Let be a flat, symmetric connection on .
Let be three -parallel vector fields, satisfying
[TABLE]
such that every two constitute a parallel frame field. That is, , and are nowhere co-linear and for every ,
[TABLE]
The vector fields , and represent the three crystallographic axes of an hexagonal lattice. Note that this structure is independent of any metric properties.
3.1 Metric
We endow with a metric . At this stage, we do not impose any a priori relation between and , and in particular, is not the Riemannian connection corresponding to . Since is a frame field, the metric is fully determined by three real-valued functions on ,
[TABLE]
For , denote by the distance between and induced by . Note that it is not equal to the length of the -geodesic from to . The following proposition bounds the discrepancy between the two:
Proposition 3.1
There exists constants and , such that for all and every , ,
[TABLE]
where .
Proof.
First, since is smooth and compact and is smooth, the geodesic curvature of all -geodesics is bounded by some constant . In such case, it was proved in [KM16b, Proposition 2.2] that there exist constants and , both depending on , such that for every -geodesic of length ,
[TABLE]
Second, relying again on the compactness of , there exist constants and , such that for every satisfying ,
[TABLE]
Third, still by the compactness of and the smoothness of , there exists a , such that for all and satisfying ,
[TABLE]
where is given by . Moreover,
[TABLE]
where the second equality follows from the chain rule and the third equality follows from Lemma 2.3. Since for all , , it follows from (3.3) that for all
[TABLE]
Substituting into (3.4),
[TABLE]
Iterating this last inequality,
[TABLE]
Denoting , we further obtain from (3.2) that
[TABLE]
where . Combining (3.5) and (3.6),
[TABLE]
By taking and sufficiently small such that , we finally obtain that
[TABLE]
which completes the proof. ∎
3.2 Triangulation
For sufficiently small, let be a graph of a hexagonal triangulation of a two-dimensional submanifold , that satisfies:
is -dense in , with . 2. 2.
The -geodesic from a vertex to its neighbor has initial velocity equal to one of the crystallographic axes and continues for time . 3. 3.
The graph is maximal, in the sense that there is no with an associated graph that satisfies the above properties and contains as a strict subset.
In more detail, every point , excluding boundary points, has six neighbors, given by
[TABLE]
Note that we have made here explicit use of Lemma 2.1 and the fact that , and are parallel vector fields to obtain that can be triangulated in this way: indeed, for every , a (local) triangulation of by straight lines parallel to , and maps under into a (local) triangulation of with the desired properties.
We denote by the fact that are neighbors in the graph. Let be the vertices of a triangle; as above, we denote by the convex hull of with respect to -geodesics. We denote by the collection of all -geodesic triangles with vertices in ; we denote by those triangles that can be surrounded by a path going first along the positive direction, then along the positive direction, and finally along the positive direction; we denote by those triangles that can be surrounded by a path going first along the negative direction, then along the negative direction, and finally along the negative direction. Every is of the form
[TABLE]
with the convention of ordering the vertices such that
[TABLE]
Every is of the form
[TABLE]
with the convention of ordering the vertices such that
[TABLE]
see Figure 1.
Finally, we denote by the union of the geodesic triangles,
[TABLE]
converges to asymptotically, in the sense that there exists a constant , such that
[TABLE]
where is the Riemannian volume form.
3.3 Discrete energies
For every , the vertices represent a discrete lattice. A configuration of that lattice is a map
[TABLE]
We denote the set of configurations by ; the rationale for this notation will be made clear below. With each configuration of we associate a discrete elastic energy, , having two contributions. The first is a bond energy
[TABLE]
Here is the area of the set of points in that are closer to the edge between and than to any other edge; both distance and area are relative to . The function is an -independent bond energy, modeling pairwise inter-particle interactions. Its argument is the relative elongation of an edge.
We assume that the bond energy satisfies the following conditions:
if and only if . 2. 2.
Coercivity: there exists a constant such that
[TABLE] 3. 3.
Bounded growth: there exists a constant such that
[TABLE] 4. 4.
Lipschitz continuity: there exists a constant such that for every ,
[TABLE]
For example, the choice or , corresponding to Hookean springs, satisfies these conditions. As a non-example, an exponentiated Hencky energy [NGL15], , is a bond energy not satisfying the bounded growth condition.
The second contribution to the discrete energy penalizes for changes in the (signed) volume of triangles,
[TABLE]
Here, is the area of , and is the standard unit bivector in ; the argument of is a ratio of top-rank multivectors in , hence can be viewed as a scalar. is defined as follows: set
[TABLE]
and denote by the value of at the center of mass of .
We assume that the volumetric function satisfies the following conditions:
if and only if . 2. 2.
Coercivity: there exists a constant such that
[TABLE] 3. 3.
Bounded growth: there exists a constant such that
[TABLE] 4. 4.
Lipschitz continuity: there exists a constant such that for every ,
[TABLE]
For example, , satisfies these conditions.
The total discrete elastic energy is the sum of bond energy and the volumetric energy,
[TABLE]
3.4 Piecewise-affine extension
3.4.1 Extension of discrete configurations
Given , we extend it into a function ; we denote the extension map by .
Within , we extend in each triangle as described in Section 2: for ,
[TABLE]
where . By Proposition 2.6, within a triangle ,
[TABLE]
We extend to such that
[TABLE]
where is independent of and .
Such an extension can be achieved, for example, as follows: extend slightly into a larger manifold , such that , and extend and smoothly to . For small enough, we can extend into a geodesic triangulation of , where . Every vertex in has at least one neighbor in (and at most three). Denote these vertices by . Given , we extend it to by defining . We then extend into a piecewise-affine function as above, and restrict it to . A straightforward calculation, using the uniform bounds on the angles between edges, shows that conditions (3.19) are satisfied.
3.4.2 An integral representation of the discrete energy
We start be defining seven families of piecewise-constant functions , parametrized by the lattice spacing . The first three,
[TABLE]
return for the relative area in of the region that is closest to the edge parallel to , and , respectively; in a Euclidean equilateral triangle, these functions would be equal to . For two triangles and sharing the edge , we have
[TABLE]
The next three families of functions,
[TABLE]
return for a point in the -rescaled distances between the vertices of that triangle:
[TABLE]
Let . By (3.18) and the definition of , for every point in ,
[TABLE]
where the sign depends on whether is a triangle in or .
Finally, we define
[TABLE]
which for returns evaluated at the center of mass, i.e., the value of as defined in (3.13).
Consider next the determinant of . The intrinsic expression for the determinant is
[TABLE]
where and are the Hodge-dual operators on the graded algebras of multivectors (with respect to the metric on and the Euclidean metric in ). Now,
[TABLE]
hence
[TABLE]
and in ,
[TABLE]
where we used (3.18) again, and the fact that in .
With these notations, we can write the discrete bond energy of in terms of its extension as an integral over :
[TABLE]
where is given by
[TABLE]
The discrete volumetric energy of can be written as follows:
[TABLE]
where is given by
[TABLE]
Thus, the total discrete energy is given by
[TABLE]
where is given by
[TABLE]
We end this section by establishing asymptotic properties of the piecewise-constant functions defined on the triangulated surfaces:
Lemma 3.2
We have the following uniform limits in : for ,
[TABLE]
Proof.
This is an immediate consequence of Proposition 3.1. ∎
Lemma 3.3
We have the following uniform limits in : for ,
[TABLE]
Proof.
Let . The triangle is the image under of . The functions , and evaluated at are the relative areas in of the regions that are closest to the edges parallel to , and , respectively. The statement follows from the fact that the restriction satisfies , where is independent of . ∎
Lemma 3.4
We have the following uniform limit in :
[TABLE]
Proof.
This follows from the smoothness of and the compactness of . ∎
4 -convergence
In this section we prove our main result:
Theorem 4.1** (-convergence)**
The sequence of discrete energies
[TABLE]
-converge with respect to the -norm (defined below) to the limit functional defined by
[TABLE]
where is the quasi-convex envelope of , given by
[TABLE]
In this setting, the quasi-convex envelope is defined fiberwise: for each , is the largest quasiconvex function on , smaller than ; see also Section 5.
We furthermore have the standard convergence of minimizers for equi-coercive -converging functionals:
Proposition 4.2** (Convergence of minimizers)**
Let , , be a sequence of approximate minimizers of i.e., . Then, there exists a sequence , such that the sequence is compact in ; all its limit points are minimizers of . Moreover
[TABLE]
In order to characterize the convergence of functionals, we first need to specify a topology for its domain. The appropriate topology in the present case is , where is embedded in via the extension map . The first step is to extend into a functional defined as follows,
[TABLE]
where is the image of under the extension map .
By the sequential compactness property for separable spaces [dal93, Theorem 8.5], for every sequence , the sequence of functionals has a -converging subsequence. By the Urysohn property [dal93, Proposition 8.3], if there exists a functional , which is the -limit of every converging subsequence, then is the -limit of as .
We will prove that given by (4.1) is the -limit of every -converging subsequence, hence the -limit of . Denote by the limit of a (not relabeled) subsequence (we also omit the index for ease of notation). We will prove that by showing first that and then that ; we will treat separately the case where assumes an infinite value, in which case it suffices to show that .
4.1 Piecewise-affine approximation
We start by showing that every function in can be approximated by functions in . This property is necessary in order to construct recovery sequences.
Proposition 4.3
Let . Then, there exists a sequence of functions , with , such that
[TABLE]
Proof.
First, it suffices to prove the claim for real-valued functions. Second, by a standard density argument, it suffices to prove the claim for functions.
So let and set . We will prove that
[TABLE]
First, by the construction of the triangulations there exists a constant such that the vertices form a -dense subset of . Therefore, over a -dense set. Second, denote by the Lipschitz constant of ; by (3.19), the Lipschitz constant of is bounded by , hence .
Next, we show that
[TABLE]
in each triangle . To this end, we start by comparing and . By (3.18),
[TABLE]
By Taylor’s expansion,
[TABLE]
It follows that
[TABLE]
We then note that are Lipschitz maps (since is smooth), and by (3.18), and are constants in . It follows that that for any
[TABLE]
and similarly for replaced by . Since, by the compactness of , the angle between and is uniformly bounded away from [math] and , and since are uniformly bounded away from zero, we obtain that in .
Finally, since by (3.7) , and since are uniformly Lipschitz, it follows that for every , which completes the proof. ∎
4.2 Properties of and
We proceed to establish some properties of the energy densities and , which are required in the subsequent analysis; these follow from the assumed properties of the discrete bond and volumetric energy functions and .
The metrics and induce the standard Frobenius metric on the vector bundle . We denote by the sub-bundle of of isometries ; we denote by the sub-bundle of orientation-preserving isometries.
Proposition 4.4
The functions given by (3.25) and (4.2) satisfy the following properties:
* if and only if .* 2. 2.
Coercivity of : there exists a constant such that
[TABLE]
where the distance is with respect to the norm induced by and . 3. 3.
Bounded growth of : there exists a constant , such that
[TABLE] 4. 4.
Uniform coercivity of : there exists a function satisfying as , such that
[TABLE] 5. 5.
Uniformly bounded growth of :
[TABLE] 6. 6.
Let be a family of functions uniformly bounded in . Then,
[TABLE]
Proof.
By the properties of and , vanishes if and only if
[TABLE]
and
[TABLE]
Since , and are unit-vector fields, it follows that preserves the lengths of two independent vectors and their sum. It follows from elementary linear algebra that is a (local) isometry (see Lemma A.1), i.e., . The positivity of the determinant implies that . 2. 2.
By the coercivity (3.9) of and the coercivity (3.14) of ,
[TABLE]
Since, from the compactness of , the angle between and is bounded away from zero and , and the ratio between their lengths is bounded and bounded away from [math], it follows from Lemma A.4 that there exists a constant , such that
[TABLE]
hence
[TABLE]
Finally, using Lemma A.5, we deduce that there exists a constant , such that
[TABLE] 3. 3.
By the boundedness (3.10), (3.15) of and ,
[TABLE]
where we used the fact that , the fact that the operator norm is bounded from above by the Frobenius norm, and the inequality,
[TABLE]
which holds in two dimensions. 4. 4.
[TABLE]
By the boundedness properties (3.10) of , the Lipschitz continuity (3.11) of and the Lipschitz continuity (3.16) of ,
[TABLE]
The three terms of the right-hand side can be bounded by using the fact that and that , and converge to [math] uniformly, yielding
[TABLE]
where tends to zero as . In particular,
[TABLE] 5. 5.
The uniform boundedness property of follows from the bound (4.9) on and the boundedness (4.4) of , possibly having to enlarge . 6. 6.
We have
[TABLE]
and limit (4.7) follows from and the uniform boundedness of in .
∎
4.3 Proof of Theorem 4.1
Proposition 4.5** (Infinite case)**
Let be a -limit of a sequence , . If then
[TABLE]
Proof.
Let be a recovery sequence; namely, in and
[TABLE]
Suppose, by contradiction, that . This implies that the sequence is eventually bounded, by say, . Without loss of generality, we may assume that all are in . By the uniform coercivity (4.5) of ,
[TABLE]
In the passage to the fourth line we used the inequality with and ; in the passage to the last line we used (3.19). Since and , it follows that is uniformly bounded in ; since converges in , it is uniformly bounded in , hence has a weakly converging subsequence. By the uniqueness of the limit, this limit is . Hence, — a contradiction. ∎
Proposition 4.6** (Finite case: lower bound)**
Let be a -limit of a sequence , . Then, for all ,
[TABLE]
Proof.
Let . If then the claim is trivial. Otherwise, let be a recovery sequence, namely, in and
[TABLE]
Without loss of generality, we may assume that for all , hence
[TABLE]
By the coercivity of (as above), is bounded in . Since also converges in , it has a subsequence that weakly converges in ; by the uniqueness of the limit, this subsequence converges to . Then, for every satisfying ,
[TABLE]
The to the second line follows from the triangle inequality; the next inequality follows from restricting the domain of integration to and from (4.7); the next inequality follows from the fact that any function is greater or equal to its quasi-convex envelope; the next inequality is trivial; the last inequality follows from the fact that an integral functional is lower-semicontinuous if (and only if) the integrand is quasi-convex. The proof is complete by taking the supremum over . ∎
Proposition 4.7** (Finite case: upper bound)**
Let be a -limit of a sequence , . For all ,
[TABLE]
Proof.
Given , apply Proposition 4.3 to construct a sequence converging to strongly in . By the lower-semicontinuity property of -limits,
[TABLE]
where the passage to the last line follows from (4.7) and the Lipschitz property of (which follows from the Lipschitz property of (3.11) and (3.16)).
We would be done if we could replace on the right-hand side by its quasi-convex envelope. Since , this replacement cannot be performed directly.
Denote the right-hand side by , and denote by the extension of to a functional on , by defining it to be infinite on the rest of the domain. Since is a -limit, it is sequentially lower-semicontinuous with respect to the strong topology, hence , where denotes the lower-semicontinuous envelope. Denote also by the sequential lower-semicontinuous envelope with respect to the weak -topology. By [LR95, Lemma 5], , and for ,
[TABLE]
By [AF84] (see also [KM14, Thoerem 3.2] for a statement in non-Euclidean settings),
[TABLE]
which completes the proof. ∎
4.4 Proof of Proposition 4.2
The growth condition of (which follows from that of ) implies that is a bounded sequence. We take a (non-relabeled) subsequence such that converges. Let be a sequence of approximate minimizers, i.e., . Set and . Since the functionals are translation-invariant, we can assume without loss of generality that . By the same calculation as in (4.10), it follows that is bounded in . By the Poincaré inequality, converges weakly in (modulo a subsequence) to some function .
Let be a recovery sequence of some . Then, by the definition of -convergence,
[TABLE]
Since is arbitrary, is a minimizer of ; by choosing , we obtain
[TABLE]
5 Properties of the limit
In this section we analyze the limiting functional , whose properties are determined by its integrand . Since , on each fiber , the quasiconvex envelope is given by
[TABLE]
Here, is the closed unit disc and is an arbitrary volume form on . The bundle map is the canonical identification of the tangent bundle of a vector space, so that for ,
[TABLE]
These coordinate-free definitions (see [KM14]) reduce to the well-known Euclidean formulations of the quasi-convex envelope by choosing a basis to ; the formula (5.1) is well-known, see [Dac08, Theorem 6.9].
Proposition 5.1** (Properties of the limit functional)**
Frame indifference: for ,
[TABLE] 2. 2.
Rigidity: There exists an , such that for all ,
[TABLE]
In particular, Property (1.1) holds:
[TABLE] 3. 3.
No stress-free configuration: if is not flat, then
[TABLE]
Proof.
The frame indifference of follow from the frame indifference of and formula (5.1). follows from the definition of ; for the lower bound in (5.2), note that by (4.3),
[TABLE]
hence
[TABLE]
Denote . We need to show that for some . Let , and let , where is the closed unit disc. Using (5.1) we have
[TABLE]
where we chose such that . The rigidity theorem [FJM02, Theorem 3.1] implies the existence of , independent of and , and a rigid map such that
[TABLE]
Since is compactly supported,
[TABLE]
Combining these inequalities we obtain .
Finally, by Proposition 4.2, the minimum of is obtained; denote the minimizing function by . If , then it follows from the above argument that almost everywhere. It follows by [LP10, Lemma 3.1] (see also [KMS19]) that is smooth, hence everywhere and therefore is flat. ∎
Remark:
An alternative proof of the second part can be obtained using the explicit formula for calculated in [Šil01, Example 4.2]. The proof above, however, readily generalizes to higher dimensions.
5.1 The conformal case
So far, no relation between the metric and the connection has been assumed Thus, there is no reason to expect any sort of internal symmetry of the limit functional. In many cases, e.g., when an initially Euclidean body undergoes an inhomogeneous, yet isotropic expansion, the metric and the connection are related—the angles between the original lattice directions are preserved. This is the case considered in this section; as we show below, such an assumption results in additional structure of the limit functional:
The limit functional admits a material connection, in the sense of [Wan67, p. 66]. A material connection is an affine-connection on , such that the energy density is invariant with respect to its parallel transport. This is a generalized form of homogeneity in Euclidean bodies, namely, independence on spatial coordinates, which is equivalent to invariance under the Euclidean parallel transport.
In the present case, the material connection is neither nor the Levi-Civita connection of , but rather a connection which is metrically consistent with and has the same geodesics as . 2. 2.
In a special case, the limit functional admits a discrete right symmetry (isotropy).
Definition 5.2
The metric is said to be conformal with respect to , if there exists a positive scalar function , such that for every pair of -parallel vector fields, and for every
[TABLE]
It is easy to see that is conformal with respect to if and only if it satisfies (5.3) for . Moreover, the conformal factor is only determined up to a multiplicative constant.
Proposition 5.3
For a conformal metric, the angles between the parallel vector fields , and are constant.
Proof.
This is immediate from the definition of conformality. ∎
Proposition 5.4
Eq. (5.3) holds if and only if the connection given by
[TABLE]
where , is flat and metric. This connection is uniquely defined as the metric connection with torsion
[TABLE]
Proof.
If is a -parallel vector field, then is -parallel,
[TABLE]
Hence is a -parallel frame field, hence is flat. is metric if and only if the lengths of and and the angle between them are constant, which holds if and only if (5.3) holds.
Finally, the torsion of is given by
[TABLE]
Since for every antisymmetric -tensor there exists a unique metric connection whose torsion is the given tensor (this is similar to the proof of uniqueness of the Levi-Civita connection), this torsion characterizes uniquely. ∎
Proposition 5.5** (Existence of a material connection)**
Denote by the parallel transport operator induced by . Then, , i.e., for every ,
[TABLE]
and similarly for .
Proof.
First, by the previous proposition, , and are -parallel. Second, , and defined in Lemma 3.3 are constant functions. Third, since the connection is metric, . Therefore, for any ,
[TABLE]
By (5.1), this property is inherited by . ∎
Proposition 5.6** (Discrete right-symmetry)**
Let be conformal. Suppose that there exists a point where and . Then is right-invariant with respect to rotations.
Proof.
First, note that
[TABLE]
Therefore,
[TABLE]
hence also , and similarly for . Since the angles between the lattice axes are constant, the angles between , and are at all points.
Next, by definition of the conformal factor, for every ,
[TABLE]
hence and similarly for . Therefore, , and
[TABLE]
Since rotations by an angle of in amount to a relabeling of the vectors , and , it follows from (5.4) that is invariant under such rotations. By (5.1), this property is inherited by . ∎
6 Discussion: extensions to other models
This paper is concerned with obtaining a model of incompatible elasticity as a -limit of discrete particle models in two dimensions. To this end, an “incompatible elastic model” is a model that satisfies the properties of Proposition 5.1. The discrete lattice models are constructed by using a flat, symmetric connection to obtain an hexagonal discretization of the manifold. In this section we discuss several possible variations and extensions of the discrete models and their limits.
Higher dimensions
All the results in this paper are readily generalizable to higher dimensions (we restricted our analysis to two dimensions for the sake of clarity). For a -dimensional Riemannian manifold endowed with a flat, symmetric connection , we can choose -parallel frame fields , and define crystallographic axes by
[TABLE]
We may then construct a triangulation of by -simplices whose edges are the crystallographic axes as in Section 3.2, and define discrete bond energies and discrete volumetric energies as in Section 3.3. The only required modification is raising the right-hand sides of (3.14)–(3.16) by a power of . The rest of the analysis remains virtually unchanged, and the limit energy satisfies Proposition 5.1.
Other lattice structures
In this paper, we considered discrete models based on hexagonal lattices. Similar results (i.e., yielding in the limit an incompatible elastic model) can be obtained for other lattices, provided that the discrete energies satisfy lower and upper bounds similar to the ones in Proposition 4.4. For example, in a cubic lattice, an incompatible elastic model can be obtained only if the volumetric energy (or, alternatively, an energy term related to angular deviations) penalizes shear deformations sufficiently; indeed, pairwise bond energy in a cubic lattice is indifferent to shear.
Avoiding interpenetration
The discrete volumetric energy considered in this paper penalizes for orientation-reversing (3.14), in a manner ensuring that the coercivity estimates (4.3) and (4.5) hold, while not changing significantly the upper bounds (3.15). Although penalizing orientation-reversing is physically sound, a more physical approach would be to completely rule out interpenetration, for example, by defining with a volumetric function that satisfies
[TABLE]
Such a function violates the bound (3.15); obtaining a -limit from such discrete models that prevent interpenetration is beyond the scope of this paper.
Another approach for avoiding interpenetration in the limit, which is not as physically sound, but, yet, can be adapted to our case, is the following (see a similar approach in [ACG11]): consider a sequence of volumetric functions , satisfying
[TABLE]
and take an iterated -limit for the energies, first and then .
Appendix A Technical lemmas
Lemma A.1
Let and be two-dimensional inner-product spaces. Let . If there exist two independent vectors such that
[TABLE]
then is an isometry.
Proof.
It follows from the polarization identity that , and therefore preserves the inner-product, hence it is an isometry. ∎
Lemma A.2
Let and be two-dimensional inner-product spaces. Let be independent vectors of equal length. Then, for every ,
[TABLE]
where is the angle between and .
Proof.
It suffices to prove the lemma for unit vectors. Denote . The vectors and are orthonormal, hence
[TABLE]
Now,
[TABLE]
where in the last step we used the fact that . ∎
Lemma A.3
Let and be two-dimensional inner-product spaces. Let be two independent vectors. Then, there exists a constant depending continuously on the angle between and and the ratio of their lengths , such that for every ,
[TABLE]
Proof.
Without loss of generality we can assume that (otherwise Lemma A.2 applies). Set
[TABLE]
where
[TABLE]
is chosen such that . Also, . Note that , and in particular, and are independent. The angle between and depends only on and , and therefore on and . By the previous lemma, there exists a such that
[TABLE]
where in the passage to the third line we used the inequality . ∎
Lemma A.4
Let and be two-dimensional inner-product spaces, and let be two independent vectors. Then there exists a constant depending continuously on the angle between and and the ratio of their lengths , such that for every ,
[TABLE]
Proof.
For ease of notation, we will write , and . We will also use the notation , meaning that there exists a constant , such that for all , or for a subset of as specified.
First, we show that (A.1) holds for every large enough: for ,
[TABLE]
By Lemma A.3,
[TABLE]
It follows that for large enough, we also have
[TABLE]
Using all of the above, we obtain
[TABLE]
which proves (A.1) for large enough .
Next, we note that it suffices to prove that
[TABLE]
for any symmetric, semi-positive definite , in the vicinity of . Indeed, if is the polar decomposition of , then , and the right-hand side of (A.1) is left--invariance as a function of . Since we have already showed that (A.2) holds for large enough , we need to prove it in a compact ball, which means it is enough to prove it in the vicinity of the zero-set of the right-hand side of (A.2), which the identity matrix (Lemma A.1). Indeed, suppose that (A.2) holds in for some with constant . Consider the continuous function in the compact set . This function attains a non-zero minimum , hence (A.2) holds in with constant .
Writing , where is a symmetric matrix with , we therefore need to show that for small ,
[TABLE]
Taylor expanding,
[TABLE]
In order to complete the proof of (A.2), we need to show that cannot vanish for . Assuming otherwise—that for ,
[TABLE]
hence is perpendicular to and , i.e., . Similarly , hence , in contradiction.
Finally, note that the constant in (A.1) depends only on and since the claim is invariant under (simultaneous) rotation and rescaling of and . ∎
Lemma A.5
Let and be -dimensional inner-product spaces. Then, for every ,
[TABLE]
Proof.
Let be the singular values of . Then
[TABLE]
If , then
[TABLE]
which shows the equality in (A.3) in this case. If , then
[TABLE]
∎
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