We investigate quantitative estimates in periodic homogenization of second-order elliptic systems of elasticity with singular fourth-order perturbations. The convergence rates, which depend on the scale κ that represents the strength of the singular perturbation and on the length scale ε of the heterogeneities, are established. We also obtain the large-scale Lipschitz estimate, down to the scale ε and independent of κ. This large-scale estimate, when combined with small-scale estimates, yields the classical Lipschitz estimate that is uniform in both ε and κ.
In this paper we aim to quantify the combined effects of homogenization and singular perturbations for the elliptic system,
where is a bounded domain and
The coefficient matrix (tensor) , with , is assumed to be real, bounded measurable and to satisfy the elasticity condition,
for a.e. and for any symmetric matrix , where are positive constants. We also assume that A is 1-periodic; i.e.,
The elliptic operator in (1.2) arises in the study of the formation of the so-called shear bands in elastic materials subject to severe loadings [8]. Variational functionals associated with the related nonlinear operators are also used to model the heterogeneous thin films of martensitic materials [7,20]. Homogenization of the elliptic system (1.1) was first studied by Bensoussan, Lions, and Papanicolaou in [5], where qualitative results were obtained for the case . Also see related work in G-convergence in [23,24]. Later on, in [8] Francfort and Müller provided a systematic qualitative analysis in periodic homogenization of (1.1) and the related nonlinear functionals for the case , where . See also [22] for the related work in the stochastic setting. Assume that A satisfies conditions (1.3)–(1.4) and . Let be the weak solution of (1.1) with . Thanks to [5,8], as , converges weakly in to the weak solution in of the second-order elliptic system,
with constant coefficients. The effective coefficient matrix in (1.5) depends on κ, which represents the strength of the singular perturbation, in three cases: ; ; and . In the case , the matrix agrees with the effective matrix for the second-order elliptic operator , without singular perturbation. If , the matrix is simply given by the average of A over its periodic cell. In the most interesting case , the expression for the matrix depends on a corrector, which solves a cell problem for a fourth-order elliptic system. The same is true for a general under the assumption that
The effective matrix in (1.5) depends on ρ in three cases: ; ; and . See Section 3 for the details.
Our primary interest in this paper is in the quantitative homogenization of the elliptic system (1.1). The qualitative results described above show that the singular perturbation and the homogenization have combined effects in determining the effective equation for (1.1). So a natural question is to understand the combined effects in a quantitative way. More precisely, we shall be interested in the sharp convergence rate of to in terms of ε and κ, as well as regularity estimates of , which are uniform in ε and κ. Although much work has been done on the quantitative homogenization for the second-order elliptic system in recent years, to the best of our knowledge, the question has not been previously addressed, with the exception of [15], where an rate in was obtained in the case for Dirichlet problems with homogeneous boundary conditions.
Our first main result provides a convergence rate in for a general κ satisfying (1.6).
Let Ω be a boundeddomain in, and A satisfy (
1.3
)–(
1.4
). Suppose (
1.6
) holds and if, we also assume that A is Lipschitz continuous, i.e.,Forand, letbe a weak solution of (
1.1
) with, andthe weak solution of its homogenized problem (
1.5
) with. Thenwheredepend only on d,,and Ω, anddepends only on d,,, Ω, and L.
The convergence rate in has been established for second-order elliptic systems with highly oscillating coefficients in various contexts. Following a general approach developed in [19,21] (see [18] for references on the related work), one first establishes an rate in for a two-scale expansion of , and then uses a duality argument to improve the rate to in . To carry this out, we introduce an operator,
where is fixed. Let denote the effective operator for in (1.9). In Section 4 we will show that if and , then
where is the weak solution of in Ω with . To complete the proof of Theorem 1.1, we observe that
and use energy estimates to bound .
We note that the convergence rate in (1.8) involves three terms. The first term κ is caused by the singular perturbation, the second term ε by homogenization, while the third term is generated by . One may find examples in the one-dimensional case, which show that both the perturbation error and the homogenization error are sharp. Our estimates of in Section 3 should also be sharp as or ∞. As a result, we believe the convergence rates obtained in Theorem 1.1 are sharp. On the other hand, in view of (1.10), it is interesting to point out that for any and , the solution may be approximated with an error in by the solution of a second-order elasticity system with constant coefficients satisfying (1.3). However, the coefficients depend on . We remark that the proof of Theorem 1.1 also gives a sharp estimate for a two-scale expansion,
in , where is the corrector for if , if , and is the corrector for the operator if . See Remark 4.5.
Our second main result gives the large-scale Lipschitz estimate down to the microscopic scale ε.
Assume that A satisfies (
1.3
) and (
1.4
). Letbe a weak solution ofin, where,, andfor some. Then for,where C depends only on d,,, and p.
Under the additional smoothness condition that A is Hölder continuous:
we obtain the classical Lipschitz estimate, which is uniform in both ε and κ, for .
Assume that A satisfies conditions (
1.3
), (
1.4
), and (
1.14
) for some. Letbe a weak solution ofin, wherefor some. Thenwhere C depends only on d,,, p, and.
Under the conditions (1.3), (1.4) and (1.14), the interior Lipschitz estimate (1.15) as well as the boundary Lipschitz estimate with the Dirichlet condition was proved by Avellaneda and Lin in a seminal work [3], using a compactness method. The boundary Lipschitz estimate with Neumann conditions was established in [14]. Related work in the stochastic setting may be found in [1,2,6,11,13].
To prove Theorem 1.2, we use an approach found in [6,12]. As in [3], the idea is to utilize correctors to establish a large-scale estimate for , from which the large-scale Lipschitz estimate (1.13) follows. Unlike the compactness method used in [3,14], the approach requires a (suboptimal) convergence rate in for a two-scale expansion of . In order to reach down to the microscopic scale ε, which is necessary for obtaining the classical Lipschitz estimate in Theorem 1.3, we introduce an intermediate equation,
with fixed, where is the effective matrix for in (1.9). The key observation is to use the solution of (1.16), instead of the homogenized equation (1.5), in the two-scale expansion of . The purpose is two-fold. Firstly, with the added higher-order term in the equation (1.16), one eliminates the error caused by the singular perturbation. As a result, we are able to establish a convergence rate in , uniformly in λ. Secondly, since is constant, one may prove the estimate, uniformly in λ, for (1.16) by classical methods. We remark that as in [6,12], the same approach may be used to establish the large-scale estimates down to the scale ε for any . A more interesting problem would be the extension of the results in this paper to the stochastic setting.
The paper is organized as follows. In Section 2 we collect some regularity estimates, which are uniform in λ, for the operator (2.1) without the periodicity assumption. The materials in this section are more or less known. In Section 3 we present the qualitative homogenization for the operator (1.2) under the assumption (1.6). The proof of Theorem 1.1 is given in Section 4. In Section 5 we establish an approximation result in for by solutions of (1.16), while the result is used in Section 6 to prove the large-scale estimate. Finally, the proofs of Theorems 1.2 and 1.3 are given in Section 7.
The summation convention is used throughout. We also use to denote the average of u over the set E.
Preliminaries
Consider the operator,
with fixed and satisfying the elasticity condition (1.3). The periodicity condition (1.4) is not used in this section with the exception of Lemma 2.11 and Theorem 2.12. Let Ω be a bounded Lipschitz domain in . For and , there exists a unique such that in Ω and . Moreover, the solution u satisfies the energy estimate,
where C depends only on d, , , and Ω. To see this, one considers and applies the Lax–Milgram Theorem to the bilinear form,
on the Hilbert space . The first Korn inequality is needed for proving (2.2).
Caccioppoli’s inequalities
Letbe a weak solution ofin, whereand. Thenwhere C depends only on d,and.
By translation and dilation we may assume that and . For , let φ be a cut-off function in such that , on and for . By taking the test function in the weak formulation of the equation and using the Cauchy inequality, we deduce that
To eliminate the term involving in the right-hand side of (2.6), we use an iteration technique found in [4], where an improved Caccioppoli inequality for a general higher-order elliptic system was proved. We point out that Theorem 2.1 does not follow directly from [4], since we require the constant C to be independent of the parameter λ.
Using the identity,
and integration by parts as well as the Cauchy inequality, we may show that
where C depends only on d. This, together with (2.6), gives
For , let , where is to be determined. It follows from (2.8) that
By iteration this leads to
for . We now choose so that . By letting in (2.10) we obtain (2.4) with , and
which gives (2.5) if . Finally, if , we note that (2.10) yields
By (2.7) we have
where we have used (2.12) for the last inequality. □
Let u be a solution of in . Let . Since
it follows from the Caccioppoli inequality for Δ that
where we have used (2.4) and (2.5) for the last inequality.
Reverse Hölder inequalities
Letbe a weak solution ofin, whereand. Then there exists some, depending only on d,and, such thatwhere C depends only on d,and.
This follows from (2.5) by the self-improvement property of the (weak) reverse Hölder inequalities. Let be a ball such that . Choose such that
where E is the average of u over . Since , it follows from (2.5) that
where C depends only on d, and . The fact that (2.16) holds for any ball implies (2.15) [10]. □
Let Ω be a bounded Lipschitz domain. Fix and define
where . Let be a weak solution of in with and on . Then
where C depends only on d, and . Note that since and on , we have for any . The proof of (2.17) and (2.18) is exactly the same as that of Theorem 2.1. As a consequence, we also obtain the boundary reverse Hölder inequality,
where and depend only on d, , and the Lipschitz constant of .
Suppose A satisfies (
1.3
) and Ω is a bounded Lipschitz domain. Letbe a weak solution ofin Ω. Then there exists, depending only on d,,and Ω, such thatwhere C depends only on d,,, and Ω.
The Meyers estimate (2.20) was proved in [8] by an interpolation argument. It also follows readily from the reverse Hölder estimates (2.15) and (2.19). Indeed, by using (2.15), (2.19) and a simple covering argument, we see that for some ,
where we have used the energy estimate and Hölder’s inequality for the last step. □
estimates
Suppose A satisfies conditions (
1.3
) and (
1.14
). Letbe a weak solution ofin. Thenwhereanddepends only on d,,, α, and.
We first observe that if A is a constant matrix satisfying the elasticity condition (1.3), then
where depends on d, , and k. To see this, we note that since A is constant, is a solution. Thus, by (2.5) and an iteration argument,
for any . By Sobolev imbedding, this gives (2.22). Next, we use a standard perturbation argument to show that if A is uniformly continuous and ,
for . To do this, we let be the solution of
where . Since
by energy estimates,
By (2.22), for ,
The rest of the argument for (2.23) is exactly the same as in the case of second-order elliptic systems [10, pp. 84–88]. An argument similar to that in [10, pp. 84–88] also shows that if A satisfies (1.14), then
for any and . This implies (2.21). □
The following theorem gives the estimate, uniform in λ, for the operator .
Suppose A satisfies conditions (
1.3
) and (
1.14
). Letbe a weak solution ofin, wherefor some. Then, if,wheredepends on d,,, p, α, and.
The case was given by Lemma 2.6. The general case is proved by a perturbation argument as in the case of second-order elliptic systems. Let . Let be the weak solution of in such that . Since in , by the energy estimate,
where C depends only on d, , , and p. By Lemma 2.6,
for any . This, together with (2.26), leads to
from which the estimate (2.25) follows, as in [10, pp. 88–89]. We omit the details. □
Singular perturbations
For and , let
Let Ω be a bounded Lipschitz domain in. Then,and for,where C depends on d and Ω.
The inequalities (2.28) and (2.29) may be proved by a localization argument, while (2.30) follows readily from (2.28)–(2.29). □
Letbe a weak solution ofwith, where,, and Ω is a bounded Lipschitz domain. Letbe the weak solution ofin Ω and. Suppose. Then for,where C depends only on d,,, and Ω.
Let be a cut-off function in such that , if , if , and for , where is to be determined. Let and
Note that and
It follows that for any ,
By using the Cauchy inequality and Lemma 2.8, we obtain
By taking in (2.33), , and using the Cauchy inequality, we see that
In view of (2.32) this gives (2.31). □
Letandbe the same as in Lemma
2.9
. Also assume that Ω is a boundeddomain and. Then for,where C depends on d,,, L, and Ω.
Let w be given by (2.32) with . For , let , where is the weak solution of in Ω and the weak solution of in Ω. The function is chosen so that , in , in , and for . Note that
It follows from (2.34) that
Also, by (2.33) and the fact that in ,
where we have used Lemma 2.8 for the last inequality. As a result, we have proved that
where, for the last step, we have used the estimate , which holds under the assumption that A is Lipschitz continuous and Ω is . The estimate (2.35) now follows readily by duality. □
A proof for Theorem 2.10 in the case may be found in [16]. As pointed out by A. Friedman in [9], the one-dimensional example,
shows that the rate in (2.35) is sharp. However, in the case of periodic boundary conditions, the rates in Lemma 2.9 and Theorem 2.10 can be improved.
Let denote the space of , 1-periodic -valued functions in . Let be the closure of in , where and . Note that for any with , there exists a unique such that in Y and .
Suppose A satisfies conditions (
1.3
) and (
1.4
). Letbe a weak solution ofin Y with, whereand. Letbe the weak solution ofin Y with. Suppose. Thenwhere C depends only on d,and.
Let . Then
It follows that for any ,
By taking in (2.37) and using the Cauchy inequality, we obtain
which yields (2.36). □
Suppose A satisfies (
1.3
) and (
1.4
). Also assume that. Letandbe the same as in Lemma
2.11
. Thenwhere C depends on d,,, and L.
The proof is similar to that of Theorem 2.10. For with , let , where is the weak solution of in Y with , and the solution of in Y with . Note that
It follows from (2.37) that
By (2.37) we obtain
Since , the estimates, and hold. As a result, we have proved that
which, by duality, gives (2.39). □
Qualitative homogenization
The qualitative homogenization for the elliptic system (1.1) was established in [5,8] for , where . Here we consider a general case under the condition (1.6). Denoting as , the system (1.1) may be written as
We first fix and investigate the homogenization of the system (3.1).
For , let with 1 in the position. Consider the cell problem,
where . Under conditions (1.3) and (1.4), for each , (3.2) admits a unique solution in . This may be proved by using the Lax–Milgram Theorem on . Moreover, let , then
for some constant C depending only on d, and . Estimates in (3.3) follow from energy estimates. Indeed, by using the test functions and and a Korn inequality, one obtains
and . The remaining estimates in (3.3) follow readily by Poincaré’s inequality. If , it is well known that (3.2) has a unique solution in and .
Thanks to [5], for each fixed , the homogenized operator of in (1.9) is given by
where
In view of (3.3), we have , where C depends only on d, and .
The constant matrixsatisfies the elasticity condition (
1.3
) with the sameand.
Let with . Note that
where and we have used (3.2) for the last step. It follows that satisfies the symmetry conditions in (1.3). To prove the ellipticity condition in (1.3), we introduce the bilinear form,
which is symmetric and nonnegative. It is known that the elasticity condition (1.3) implies
for any matrix , where denotes the transpose of ζ. Let be a symmetric matrix. Let and . Then
where we have used (3.6) and the fact . Also, note that
where we have used (3.6) for the last inequality. □
Define
Assume A satisfies (
1.3
) and (
1.4
). Letbe defined by (
3.5
). Thenwhere C depends only on d,,, anddepends on d,,and L.
By the definitions of and ,
which, together with (3.3), gives (3.8). Similarly, by the definition of ,
Since
by energy estimates and the estimate for in (3.3),
which, combined with (3.11), gives (3.9).
We now turn to (3.10). Note that
where we have used the integration by parts for the last inequality. It follows by Theorem 2.12 that
where C depends only on d, , and L. This, combined with (3.12), gives (3.10). □
In view of Lemma 3.2, this is obvious if . In the case , where , the estimate (3.10) requires that A is Lipschitz continuous. The condition may be removed by an approximation argument. Indeed, let B be a smooth matrix satisfying (1.3)–(1.4). Then
Let be the weak solution of the cell problem (3.2) with A being replaced by B. Then
By the reverse Hölder estimate (2.15), there exist some and , depending only on d, and , such that . By energy estimates,
where . By the definitions of and , we obtain that
Similarly, one can prove that
which, combined with (3.15), (3.16) and (3.10) for B, gives
where depends on . By approximating A in with a sequence of smooth matrix satisfying (1.3) and (1.4), we obtain as . □
The following theorem shows that the effective equation for (1.1) is given by .
Suppose that A satisfies (
1.3
)–(
1.4
) and κ satisfies (
1.6
). Letand, where Ω is a bounded Lipschitz domain in. Letbe the weak solution of (
1.1
) such that. Letbe the weak solution ofin Ω with, whereis given by (
3.14
). Then as,weakly in, andweakly in.
This is proved by using Tartar’s method of test functions. Note that since , by the energy estimate (2.2),
where C depends on d, , and Ω. Let be a sequence such that weakly in and weakly in . We will show that in Ω. Since in Ω, we see that in Ω. By the uniqueness of weak solutions in for , we deduce that . As a result, we obtain that weakly in and weakly in , as .
To show , for notational simplicity, we let and . Note that
It follows that
for any . Also note that
By subtracting (3.19) from (3.20), we obtain
We now let in (3.21). Using (3.17) and (3.3), it is not hard to see that the first four terms in the left-hand side of (3.21) converge to zero, while the right-hand side converges to . Also, the fifth term in the left-hand side converges to
Finally, we observe that by Lemma 3.3, as , and that strongly in . This implies that the last term in the left-hand side of (3.21) converges to
where we have used integration by parts. Since is arbitrary, we see that
where we have used the symmetry conditions of . Hence, . □
Convergence rates
In this section we give the proof of Theorem 1.1. To this end, we fix and consider the Dirichlet problem,
where is given by (1.9), and . Let be the solution of the homogenized problem,
where is given by (3.5). We shall study the convergence rate of to as .
Let be a cut-off function such that
where and is defined in (2.27). Let
where and is the corrector given by (3.2). The ε-smoothing operator in (4.4) is defined by
where and φ is a fixed function in such that and .
Letfor some. ThenSuppose thatfor someand g is 1-periodic. Thenfor, where,, anddepends only on d, k and p.
Let Ω be a bounded Lipschitz domain in. Let,andbe given by (
4.1
), (
4.2
) and (
4.4
), respectively. Suppose. Then for anyand,whereand C depends only on d,,, and Ω.
Note that and
where
It follows that for any ,
Using Lemma 4.1 and the Cauchy inequality, it is not hard to see that
Next, we observe that
To bound , we note that by (3.3), we have , where C depends only on d, and . Moreover, by the definition of ,
This allows us to construct a matrix of 1-periodic flux correctors such that
with C depending only on d, and . It follows that
where we have used the fact . Using (3.3) and (4.6), we also obtain
By collecting estimates for , we obtain the desired estimate (4.7). □
Let,andbe the same as in Lemma
4.2
. Assume that. Thenwhere C depends only on d,,, and Ω.
Note that . The estimate (4.14) follows readily by letting in (4.7) and using the Cauchy inequality as well as the first Korn inequality. □
The next theorem gives the sharp convergence rate in for with λ fixed.
Suppose A satisfies conditions (
1.3
) and (
1.4
). Let Ω be a boundeddomain,and. Letbe the weak solution of (
4.1
) andthe solution of the homogenized problem (
4.2
), where. Then for any,where C depends only on d,,, and Ω.
For , let be the weak solution of in Ω and the solution in of the homogenized problem in Ω. Note that since Ω is , we have and
where C depends only on d, , , and Ω. Let
where and is a function in such that , for , if , and if .
Let be given by (4.4). Note that
where
Observe that
where we have used (4.14) for the last inequality. To bound , we use (4.7) to obtain
To handle , we note that by (3.3) and (4.6),
Since in , it follows from (4.7) that
In view of (4.17), (4.19), (4.20) and (4.23), we have proved that
By duality this implies that
Hence,
which completes the proof. □
Let be a weak solution of in Ω with , and the solution of the homogenized equation in Ω with . Let . Then in Ω. Let be the solution of in Ω with . Note that
where we have used Theorem 4.4 for the last inequality. To estimate , we observe that and
in Ω. By energy estimates,
where C depends only on d, , , and Ω. This, together with Lemma 3.2 and (4.24), gives (1.8). □
Let be the corrector for if , if , and the corrector for the operator if . Under the same assumptions as in Theorem 1.1, one may show that
where depend only on d, , and Ω, and depends only on d, , , Ω, and L. To see this, let be given by (4.4) with , and
It follows by Lemma 4.3 that
Note that
The desired estimate follows from (4.25) and Lemma 3.2 as well as the estimates of in the proof of Lemma 3.2. We omit the details.
Approximation
Fix . Let be defined as in (3.1). The goal of this section is to establish the following.
Suppose A satisfies (
1.3
) and (
1.4
). Letbe a solution toin, whereandfor some. Assume thatand. Then there existssuch thatandwhereanddepend only on d,,, and p.
To prove Theorem 5.1, we introduce an intermediate Dirichlet problem,
where and is defined by (3.5). We will establish a (suboptimal) convergence rate in for , where is the solution to the Dirichlet problem,
with and . Let
where , and are the same as in (4.4).
Let Ω be a bounded Lipschitz domain. Letbe the weak solutions of (
5.5
) and (
5.4
), respectively, andbe given by (
5.6
). Thenfor, where C depends only on d,,, and Ω.
The proof is similar to that of (4.14). Let . By direct calculations, we deduce that
where and is given by (4.8). Thus for any ,
It is not hard to see that
To handle , we use the matrix of flux correctors, as in the proof of Lemma 4.2, to obtain
where, for the last step, we have used (4.6).
To bound , we use the Cauchy inequality, (3.3) and (4.6) to deduce that
Likewise,
By taking the estimates on into (5.9), it yields
which gives (5.7) by choosing and using the Cauchy inequality. □
By dilation and translation, it suffices to consider the case where and . Let be a solution of in , and the solution to the Dirichlet problem,
Let be defined by (5.6). We apply Lemma 5.2 with to obtain
Since is constant, we may apply (2.5) to the function . This gives
for any . It follows that
where , and we have used Hölder’s inequality for the last step. In view of (5.10) we deduce that for any ,
Next, we observe that and
in . By energy estimates this gives (5.2) with . It follows by Theorem 2.5 that there exist some and , depending only on d, and , such that
As a result, there exists some such that
Note that for ,
It follows from (5.13) that
By (4.6), the last term in the right-hand side of (5.14) is bounded by
To handle the third term in the right-hand side of (5.14), we use the estimate for the operator to obtain
where . It follows that
In summary, we have proved that if , then
where and depends only on d, and .
Finally, we use the reverse Hölder estimate (2.15) to obtain
where and C depends only on d, and . This, together with (5.17), gives (5.3) with . □
Large-scale estimates
Recall that with 1 in the position. Let
Assume that A satisfies (
1.3
) and (
1.4
). Letbe a solution ofin, whereandfor some. Then for anyand,where C depends only on d,,, p, and α.
By translation and dilation, we may assume that and . We also assume that , as the estimate (6.2) is trivial for . Let be the weak solution of given by Theorem 5.1. Let , where is to be determined, and
where . We obtain
Denote the first two terms in the right-hand side of (6.3) by . Thanks to Theorem 5.1,
On the other hand, by the estimate of ,
where and we have used (5.2) for the last inequality.
Taking (6.4) and (6.5) into (6.3) and using the fact for any , we derive that
For any , we first choose and then so small that . As a result, if , where is so large that
then
By iteration, this implies that
for any . The case follows easily from the case . □
As a corollary, we obtain a Liouville theorem for the operator .
Suppose A satisfies conditions (
1.3
) and (
1.4
). Letbe a weak solution ofSuppose that there existandsuch thatfor all. Then there existandsuch that
This follows readily from Theorem 6.1 with and . □
Assume that A satisfies (
1.3
) and (
1.4
). Letbe a solution ofin, wherefor some. Then for any,where C depends only on d,,, and p.
This follows from Theorem 6.1, as in the case of second-order elliptic equations [6,12]. We omit the details. □
Since with , Theorem 1.2 follows directly from Theorem 7.1. □
By translation and dilation we may assume and . If , the Hölder norm of is uniformly bounded. The Lipschitz estimate (1.15) follows directly from the estimate in Theorem 2.7. Consider the case . Let be a weak solution of in , where for some . Let . Then
where . By Theorem 2.7,
where we have used (1.13) with for the last inequality. □
Footnotes
Acknowledgements
W. Niu supported by the NSF of China (11971031, 11701002). Z. Shen supported in part by NSF grant DMS-1856235.
References
1.
S.N.Armstrong and J.C.Mourrat, Lipschitz regularity for elliptic equations with random coefficients, Arch. Ration. Mech. Anal.219(1) (2016), 255–348. doi:10.1007/s00205-015-0908-4.
2.
S.N.Armstrong and C.K.Smart, Quantitative stochastic homogenization of convex integral functionals, Ann. Sci. Éc. Norm. Supér. (4)49(2) (2016), 423–481. doi:10.24033/asens.2287.
3.
M.Avellaneda and F.Lin, Compactness methods in the theory of homogenization, Comm. Pure Appl. Math.40(6) (1987), 803–847. doi:10.1002/cpa.3160400607.
4.
A.Barton, Gradient estimates and the fundamental solution for higher-order elliptic systems with rough coefficients, Manuscripta Math.151(3–4) (2016), 375–418. doi:10.1007/s00229-016-0839-x.
5.
A.Bensoussan, J.-L.Lions and G.Papanicolaou, Asymptotic Analysis for Periodic Structures, AMS Chelsea Publishing, Providence, RI, 2011, Corrected reprint of the 1978 original.
6.
J.Fischer and F.Otto, A higher-order large-scale regularity theory for random elliptic operators, Comm. Partial Differential Equations41(7) (2016), 1108–1148. doi:10.1080/03605302.2016.1179318.
7.
I.Fonseca, G.Francfort and G.Leoni, Thin elastic films: The impact of higher order perturbations, Quart. Appl. Math.65(1) (2007), 69–98. doi:10.1090/S0033-569X-06-01035-7.
8.
G.A.Francfort and S.Müller, Combined effects of homogenization and singular perturbations in elasticity, J. Reine Angew. Math.454 (1994), 1–35.
M.Giaquinta, Multiple Integrals in the Calculus of Variations and Nonlinear Elliptic Systems, Annals of Mathematics Studies, Vol. 105, Princeton University Press, Princeton, NJ, 1983.
11.
A.Gloria, S.Neukamm and F.Otto, Quantification of ergodicity in stochastic homogenization: Optimal bounds via spectral gap on Glauber dynamics, Invent. Math.199(2) (2015), 455–515. doi:10.1007/s00222-014-0518-z.
12.
A.Gloria, S.Neukamm and F.Otto, A regularity theory for random elliptic operators, Milan J. Math.88(1) (2020), 99–170. doi:10.1007/s00032-020-00309-4.
13.
A.Gloria and F.Otto, Quantitative results on the corrector equation in stochastic homogenization, J. Eur. Math. Soc. (JEMS)19(11) (2017), 3489–3548. doi:10.4171/JEMS/745.
14.
C.E.Kenig, F.Lin and Z.Shen, Homogenization of elliptic systems with Neumann boundary conditions, J. Amer. Math. Soc.26(4) (2013), 901–937. doi:10.1090/S0894-0347-2013-00769-9.
15.
W.Niu and Y.Yuan, Convergence rate in homogenization of elliptic systems with singular perturbations, J. Math. Phys.60 (2019), no. 11, 111509, 7.
16.
Z.Schuss, Singular perturbations and the transition from thin plate to membrane, Proc. Amer. Math. Soc.58 (1976), 139–147. doi:10.1090/S0002-9939-1976-0412571-6.
Z.Shen, Periodic homogenization of elliptic systems, in: Advances in Partial Differential Equations (Basel), Operator Theory: Advances and Applications, Vol. 269, Birkhäuser/Springer, Cham, 2018.
19.
Z.Shen and J.Zhuge, Convergence rates in periodic homogenization of systems of elasticity, Proc. Amer. Math. Soc.145(3) (2017), 1187–1202. doi:10.1090/proc/13289.
20.
Y.C.Shu, Heterogeneous thin films of martensitic materials, Arch. Ration. Mech. Anal.153(1) (2000), 39–90. doi:10.1007/s002050000088.
21.
T.A.Suslina, Homogenization of the Dirichlet problem for elliptic systems: -operator error estimates, Mathematika59(2) (2013), 463–476. doi:10.1112/S0025579312001131.
22.
C.I.Zeppieri, Stochastic homogenisation of singularly perturbed integral functionals, Annali di Matematica Pura ed Applicata (1923-)195(6) (2016), 2183–2208. doi:10.1007/s10231-016-0558-7.
23.
V.V.Zhikov, G-convergence of elliptic operators, Mat. Zametki33(3) (1983), 345–356.
24.
V.V.Zhikov and E.V.Krivenko, Averaging of singularly perturbed elliptic operators, Mat. Zametki33(4) (1983), 571–582.