This article is about the -periodic Green function of the multiscale elliptic operator , where is a -periodic, coercive, and Hölder continuous matrix, and n is a large integer. We prove here pointwise estimates on , , and in dimensions . Moreover, we derive an explicit decomposition of this Green function, which is of independent interest. These results also apply for systems.
In this article, we consider the periodic Green function associated with the multiscale problem
where is expected to be very large and is the unit cube in dimensions . Hereafter, we write “periodic” for “Q-periodic”. Here A satisfies the classical assumptions of ellipticity, periodicity and Hölder continuity (see [2]). We first derive pointwise estimates for and its derivatives , and . Although these estimates are seemingly classical, we have not found them elsewhere in the literature in the special case of periodic boundary conditions. In particular, we refer the reader to [5], which collects similar estimates, but concerning the Green function of elliptic problems with periodic coefficients in (and not the periodic Green function). We also express the periodic Green function in terms of the Green function of the operator in . This latter result, which yields an alternative proof of estimates on the periodic Green function, is of independent interest. Our proofs crucially make use of homogenization tools of Avellaneda and Lin [2,3].
Our study is motivated by the fact that, in numerical applications, numerous homogenization problems are set on cubes with periodic boundary conditions (rather than on an infinite domain). For example, we refer the reader to [1], where the homogenized matrix of a random medium is approximated, by appealing to a periodic problem (such a strategy has been recently used in [14,15]).
Estimating the behavior of the Green function of elliptic problems has attracted much attention, as the Green functions are a useful tool for getting estimates. Indeed, the solution to (1) can be written as an integral of the forcing term (e.g., f in (1), which can be in the form ), multiplied by the Green function. Thus, if the Green function (or its derivatives) is controlled, then one can estimate the solution (or its derivatives) directly from the forcing term, using the Young inequality (see, e.g., [4, Chap. I p. 7–12], and see [13] for such manipulations). However, let us remark that, by duality, such estimates can also be used to get back to the properties of the Green function. We refer the reader to [13], which goes back and forth from properties of the Green function to estimates on the solution to the oscillating problem.
The behavior of the Green function G of the following Dirichlet problem:
with elliptic and bounded matrix A has been explored in the seminal article [10] (here Ω is a sufficiently regular bounded domain). Without any regularity assumption on A (and without any hypothesis about the structure of A), the authors derive optimal pointwise estimates on G. But they need to assume that the matrix A is continuous and sufficiently regular in order to obtain pointwise estimates on the gradients , , and on the second derivatives . Loosely speaking, they show under suitable assumptions that these quantities behave as if G was the fundamental solution to the Laplace equation (see [9, Chap. II, p. 13–30]), namely (in dimension ):
Since the domain of interest Ω is bounded, the above quantity is bounded; hence, the difficulty in the above estimates is obviously when x is close to y. Their results have been generalized to systems of elliptic equations. In particular, the same type of results is proved in [8], provided that the matrix A is sufficiently regular.
On the opposite side, problems like (1) have the specificity that the coefficients are more and more oscillating when n increases, since the caracteristic scale of the microstructure goes smaller and smaller. Therefore, the results that rely on the regularity of the coefficient do not apply uniformly: the constants C of the estimates (3) and (4) blows up when n goes to infinity. With a totally different approach than above, Avellaneda and Lin have proved that the solutions to oscillatory elliptic problems enjoy Hölder and Lipschitz regularity properties, if the matrix A is elliptic, periodic, and Hölder continuous (see [2]). For that purpose, they introduced a so-called compactness method, showing that the oscillatory problems inherit regularity from the homogenized problem. Applying their results to the Green function in itself, they derived the same type of estimates as (2), (3), and (4). We refer the reader to [5] for a review on the pointwise estimates on multiscale Green functions in , for matrices A that are elliptic, bounded, periodic and sufficiently regular.
In [3], Avellaneda and Lin described the asymptotic behavior, in the limit where the small scale vanishes, of the Green function in of periodic elliptic equations by using the Green function of the homogenized problem. Using the same techniques, the authors of [12,13] established the same kind of asymptotics for the Green function of the multiscale problem set in a bounded domain, for Dirichlet and Neumann boundary conditions.
Periodic Green functions can sometimes be expressed thanks to the associated Green functions in the whole space . For example, such a decomposition can be found in [7] for the case of the Laplacian. This consists in a series involving the Green function in , translated on the grid . The main difficulty of this decomposition is to ensure that the series actually converges; in the case of the Laplacian, this is shown by resorting to the local symmetries of the Green function of the Laplacian. We address the question of building a similar decomposition for the case (1).
Most of the theoretical material and ideas used in the present article are borrowed from [2,3,5,13] for the homogenization aspect, and from [7] for the decomposition of the periodic Green function.
Main results
Before getting to the oscillatory problem, we first establish the existence and the uniqueness of the periodic Green function for general periodic, elliptic and bounded coefficients. Henceforth, we denote by a subscript “per” the functional spaces of periodic functions: for example, is the set of functions defined on that are periodic and square integrable on the cube Q. We consider the operator
where and u is the unique periodic solution with zero mean to
in which the matrix A is periodic, elliptic and bounded. Namely, there exists a constant such that A satisfies
The operator T admits the following integral formulation, involving the so-called periodic Green function G associated with the operator :
By classical arguments (see, e.g., [10]), such a Green function G exists and is unique (see Section 2 for a precise statement). It satisfies the following equation:
with periodic boundary conditions.
Using a method that can be found in [2, Th. 13] (see also the proof of [13, Th. 3.3]), we show a pointwise estimate on the periodic Green function G associated with the operator . In dimension , this estimate on is logarithmic, which introduces some technicalities.
Let the dimension be. Assume thatsatisfies (
6
) and (
7
). Let G be the periodic Green function associated with the operator. Then there exists a constantthat only depends on d and μ such that the following estimates are satisfied, for alland, with:
The proof of Proposition 1.1 is postponed until Section 3.
One can apply the above result to the multiscale problem (1). Thus, if satisfies (6) and (7), then the periodic Green function associated with the operator satisfies (10) or (11) (depending on the dimension d), for a constant C that only depends on d and μ (and not on n).
Now, we consider a matrix A that is elliptic, periodic, and also Hölder continuous:
for . Using the results of [2], we derive pointwise estimates on the gradients and and on the second derivatives of the periodic Green function associated with the operator .
Let the dimension be. Assume thatsatisfies (
6
), (
7
) and (
12
). Letbe the periodic Green function associated with the operator. Then, there exists a constantsuch that, for all,and, with,
The proof of Proposition 1.2 is postponed until Section 4.
Let us underline that the salient point of Proposition 1.2 is that the constant C does not depend on the characteristic scale of the microstructure. The latter estimates are not unexpected; see, e.g., [5, Prop. 8] for similar estimates on the Green function in the whole space .
On the first hand, as is shown in [10, Th. 1.1], in the case of Dirichlet boundary conditions, Estimate (10) does not require any regularity assumption on A. As expected, it is also the case for periodic boundary conditions. On the other hand, Estimates (13), (14) and (15) critically rely on the fact that A is periodic and sufficiently regular.
Using another approach, reminiscent of [7, p. 130–131], we show a decomposition for the periodic Green function G. This formula extensively uses the corresponding Green function in of the operator , which satisfies
Let the dimension be. Assume thatsatisfies (
6
), (
7
) and (
12
). Let G be the periodic Green function associated with the operator. Then, the function G can be decomposed aswhere the functionsare defined byand the functionby (
16
), and the setsbywhereis the symmetric part of the homogenized matrixassociated with the matrix A.
The proof of Proposition 1.3 is postponed until Section 5.
The above decomposition (17) naturally appears as a reasonable candidate, being close (but not equivalent) to the decomposition [7, p. 130–131]. But the difficulty is to ensure that the series actually converges, in the sense that
In [7, p. 130–131], where the Laplacian with periodic boundary conditions is studied, the convergence is obtained by appealing to the local symmetries of the Green function of the Laplacian. This cannot be applied to our case. Here, the convergence is a consequence of the long-range behavior of the Green function . Thanks to the periodicity of A, the function can be efficiently approximated at large scale by the Green function of the homogenized problem (see [3,13]). Hence, taking advantage of the long-range symmetries of the Green function of the homogenized problem, one can prove the convergence of the series in (17). In this regard, we underline that, in general, the series (17) does not converge absolutely with respect to k:
This fact appears as a byproduct of the proof.
Last but not least, it should be underlined that the above decomposition provides an alternative way for showing the pointwise estimates (10) on the multiscale periodic Green function of the operator . Indeed, the proof of Proposition 1.3 (in Section 5) implies that the series (17) converges uniformly with respect to n.
Extension to systems
Our proof of the existence and the uniqueness of the Green function uses the De Giorgi–Nash–Moser theorem. In dimension , this ingredient can be replaced by the and estimates in [8, Lem. 2 & Lem. 3]. Hence, there also exists a unique periodic Green function of the operator defined by
where , for and , , is continuous, periodic, and elliptic in the following sense:
In this case, the periodic Green function G (which is a matrix) satisfies, for all ,
with periodic boundary conditions, where is the Kronecker symbol.
As can be seen in Sections 3 and 4, the proofs of Propositions 1.1 and 1.2 involve arguments that are also valid if we study periodic oscillatory systems instead of equations (note that the seminal article [2] dealt with systems). More precisely, if , the periodic Green function associated with the operator satisfies (10), (11), (13), (14), and (15), provided that is periodic, satisfies (21), and is Hölder continuous. Notably, the Hölder estimate [2, Lem. 9] can be used instead of the De Giorgi–Nash–Moser theorem in the proof of Proposition 1.1. Besides, the Lipschitz estimate borrowed from [2, Lem. 16] that we use in the proof of Proposition 1.2 also applies.
Finally, the formula (17) can also be generalized to the case of systems, using appropriate sets while decomposing (see Section 5.3).
Outline
Our article is articulated as follows. In Section 2, we precisely explain in which sense there exists a unique periodic Green function. We briefly justify this fact by classical arguments. Next, in Section 3, we proceed with the proof of Proposition 1.1. In dimension , the proof is based on a duality argument involving the De Giorgi–Nash–Moser theorem. In dimension , using a trick from [2], it reduces to expressing the 2-dimensional periodic Green function as the integral of a 3-dimensional periodic Green function. In Section 4, combining Estimate (10) of Proposition 1.1 and the Lipschitz estimates of [2], we show (13) (and similarly (14)), from which we deduce (15). Finally, in Section 5, we prove Proposition 1.3, which, under suitable hypotheses, yields a decomposition for the periodic Green function. For the sake of simplicity, we first study the case where the homogenized matrix is the identity in Section 5.1, and then the general case in Section 5.2. Additional materials about such a decomposition in the case of systems can be found in the Section 5.3.
Existence, uniqueness and basic properties of the Green function
In this section, we justify that there exists a unique periodic Green function G associated with the operator . It lies in the functional space E containing all the functions satisfying, for all (by convention, if , then ) and ,
Let the dimension be. Assume thatsatisfies (
6
) and (
7
). Then there exists a unique periodic Green functionassociated with the operator-namely, G satisfies (
8
) – that is in the space E, defined by (
23
) and (
24
). Moreover, the functionis the periodic Green function associated with the operator. Last, G is the unique periodic solution in E to (
9
) with periodic boundary conditions satisfying
Actually, if , the Green function is expected to satisfy the following estimates:
since it is the case when homogeneous Dirichlet boundary conditions are considered (see [10, Th. 1.1]). Here denote the Marcinkiewicz spaces (see [4, Chap. I p. 7–11] for a reference on such functional spaces). Thus, the proposed space E is not optimal. However, for the purpose of the present article, it not useful to find the optimal function space, since (27) and (28) are a straightforward corollary of Propositions 1.1 and 1.2 below.
Proposition 2.1 can be proven by standard arguments (see, e.g., [10]) that we briefly describe here (see [11, Chapter 3]).
First, we establish existence and uniqueness by using the regularizing properties of (5). Then, we show that is the Green function of the transposed problem by considering the adjoint operator of T. In a third step, we use the variational formulation of (5) and establish that the Green function G satisfies (9), (25) and (26). Finally, we show the uniqueness of the solution to (9), (25) and (26), using a variational argument. The detailed proof of each above argument can be found in [11, Chapter 3].
Pointwise estimates on the periodic Green function
This section is devoted to the proof of Proposition 1.1. For technical reasons, we proceed first with the case of dimension , and then with the case of dimension .
The case of
Pointwise estimates on the Green functions of elliptic problems with Dirichlet boundary conditions have been established in the seminal article [10] of Grüter and Widman. Their proof makes use of the comparison principle. The latter is an appropriate tool for an elliptic equation with homogeneous Dirichlet boundary conditions: in this case, the Green function is positive. But, such an argument fails when considering the periodic Green function, the sign of which varies (it has zero mean). As a consequence, here, we resort to a duality argument and to the De Giorgi–Nash–Moser theorem (see [2, Th. 13]). Also, when considering multiscale periodic elliptic systems, the latter theorem does not hold and the Hölder estimates of [2] are necessary for concluding the proof (see Section 1.2).
The proof below is a straightforward adaptation of the proof of [2, Th. 13]. The fact that we study periodic boundary conditions do not raise substantial difficulties, since the strategy involves local estimates.
Let us first explain in a few words the ingredients of the proof of Proposition 1.1 in the case . The first step of the proof consists in combining the De Giorgi–Nash–Moser theorem, the classical Hilbert theory and the Sobolev injections in order to obtain an optimal estimate on the periodic solution u to (5) for localized right-hand terms f. By a duality argument used in [2, Th. 13], this provides a local bound on the Green function . Using once more the De Giorgi–Nash–Moser theorem, this proves Estimate (10).
The proof falls in two steps.
Let , , and (by periodicity, it is the only relevant case).
Step 1: Let us consider that has a support contained in (see Fig. 1). Define u as the periodic solution with zero mean to (5). Since is in the dual of (see [6, Th. 9.9 p. 278]), then, by the Lax–Milgram theorem, and there obviously holds
As the support of f is contained in , then u satisfies in the following equation:
Therefore, as a consequence of the De Giorgi–Nash–Moser theorem (see [9, Th. 8.24 p. 202]), there exists and depending only on d and μ such that
We now bound the two terms on the right-hand side. For the second term, by the Hölder inequality, we obtain
For the first term, again using the Hölder inequality, we have
By Sobolev injection of in (and since u has zero mean),
whence, we deduce from (32), (33) and (29) that
Finally, since , (30), (31), and (34) yield
Illustration of step 1 of proof of Proposition 1.1.
Step 2: The function u can be expressed thanks to the Green function as
As a consequence, by duality, (35) implies that there exists a constant such that
As satisfies
in , then, using once more [9, Th. 8.24 p. 202], we obtain (in the same manner as (30))
By the Hölder inequality, we deduce from the above estimate that
Finally, since and thanks to (36), we deduce (10). This concludes the proof of Proposition 1.1 in dimension . □
The case
We now turn to the dimension . According to an idea that can be found in [2, Th. 13] (see also [5, Prop. 4]), the 2-dimensional periodic Green function G associated with the operator can be expressed as
where and in the equation above, and is the 3-dimensional periodic Green function of the following operator:
Indeed, it is easily shown (by an integration argument) that the function G defined by (38) satisfies (9), (25) and (26). Hence, G is the (2-dimensional) periodic Green function associated with the operator .
Next, applying Proposition 1.1 – which we have already proved in dimension – to the Green function , we obtain
which is (11). This concludes the proof of Proposition 1.1 in the case .
Pointwise estimates on the derivatives , and of the multiscale periodic Green function
Proposition 1.2 relies on the Lipschitz theory of [2]. Indeed, if satisfies
for some , then [2, Lem. 16] shows that
where is a constant independent of n. As is detailed below, we treat separately the 2-dimensional case.
Assume first that the dimension satisfies . Let , , and (once more, by periodicity, this is the only relevant case).
Since satisfies
and thanks to [2, Lem. 16], id est (41), there holds
As a consequence, Estimates (10) and (42) yield (13) (for and ). By transposition, (14) is also established.
By differentiating (9) with respect to y, we obtain
Therefore, thanks to (41),
By using (14) and since , we conclude that
and establish (15).
Now, let the dimension . As shown in the proof of Proposition 1.1, the 2-dimensional periodic Green function can be expressed as
where and in the equation above, and is the 3-dimensional periodic Green function of the operator . Hence, we deduce the 2-dimensional versions of (13), (14) and (15) by integrating their 3-dimensional versions applied to (in the same manner as in Section 3.2). □
A decomposition of the periodic Green function
In this section, we prove Proposition 1.3. For the sake of simplicity, we first assume that the homogenized matrix is the identity. We postpone the proof in the general case until Section 5.2.
Case where the homogenized matrix is the identity
For convenience, we have split the proof of Proposition 1.3 in two parts: first, we show that the series in (17) actually converges; second, we check that its limit is the periodic Green function G.
The two main steps of the proof of convergence are the following: first a Taylor expansion allows for expressing the terms in (17) as functions of . Then, we approximate the Green function of the multiscale problem with the Green function of the homogenized problem (see [3]). Second, we take advantage of the long-range symmetries of the Green function of the homogenized problem and establish the convergence of the series in (17). There, the sets are crucial, since the convergence in (17) is not uniform in k.
We denote by the fundamental solution in to the homogenized problem. The homogenized matrix is the identity; therefore is explicitly expressed as
where is a constant (see [9, (2.12) p. 17]). Since only depends on , we henceforth redefine
Step 1: Assume that and . We reformulate using the Taylor formula:
We approximate by . More precisely, thanks to [3, Corollary p. 905], there exists constants and such that, for all ,
In (46), and denote the correctors associated to the matrix A, respectively . That is, is the periodic function of zero mean satisfying
Identity (45) and Estimate (46) imply
where
and
All the correctors and are bounded; furthermore, Formula (44) implies that the third-order derivatives of evaluated at are bounded by , where C is a constant independent of x and y. Therefore, a Taylor expansion yields a constant C such that
where
Then, a straightforward integration yields
which can be simplified as
since the correctors and are of zero mean. Note that defined above does not depend on because the correctors and are periodic. As a consequence, collecting (47), (48), and (49) yields
Step 2: Remark that in general and that scales like . Therefore, by (49), in general, the series in (17) does not converge absolutely with respect to k.
Invoking once more (44), we obtain
Thanks to the symmetry of with respect to the hyperplane , in the case , and thanks to the invariance of under the relabeling of the components of the vector k, in the case , we deduce that
As a consequence, recalling (50),
Moreover, by [5, Prop. 4], there exists a constant C such that for any , there holds
Hence, for any ,
As a consequence of (52) and (54), the series (17) converges absolutely in m as follows:
for all , . Thus, we have recovered (10) by an approach different from Proposition 1.1. □
Now that we have justified that the series in (17) converges, we prove that its limit, that we denote by for the moment, id est,
is actually equal to G. It can easily be checked that is periodic in x and y and satisfies (9). The technical point is (25), the proof of which relies on the former Taylor expansion and on the classical result [5, Prop. 8]. According to the latter, there exists a constant such that, for all ,
Obviously, is periodic in y. Since A is periodic, there even holds
for any . Therefore is also periodic in x. Moreover, we check that
where is the characteristic function of the set Q. Whence
To summarize, defined by (55) is x-periodic and y-periodic, and satisfies (9) with periodic boundary conditions.
Next, we justify that satisfies (25). By integrating (45) along the y variable, there holds
Hence, due to cancellations on the boundaries of the translated cubes ,
where is the boundary of the following set:
Now, by Taylor expansion, and thanks to (56), for all , , and ,
Therefore
The integral in the right-hand term of the above estimate vanishes since, by symmetry, . As a consequence,
Whence, since the surface area of is bounded by , we have
As a consequence, letting , we deduce that satisfies (25). By the same arguments transposed from to , it can be shown that also satisfies (26). Therefore, by Proposition 2.1, we have
which concludes the proof. □
General case
As is easily seen, in Proposition 1.3, the fact that the homogenized matrix is the identity is only used for establishing (51). One also realizes that, would (51) be replaced by the following estimates:
for well-chosen sets , then the conclusions of Proposition 1.3 would also apply.
We show that the sets defined by (19) are such that Estimates (57) are satisfied. Hence, the conclusions of Proposition 1.3 are true without any assumption on the homogenized matrix of A, when using the sets defined above.
The homogenized matrix is (constant) coercive. Then the Green function in associated with the operator is
where is a constant and is the symmetric part of the matrix . Whence
Besides, there exists an orthogonal matrix O and positive scalars , such that
Therefore, denoting by the orthonormal base related to O, and decomposing
one obtains
For , we define the following set:
Remark that there obviously holds
On the one hand, if , changes sign with respect to the transformation . Therefore, if , there holds
On the other hand,
By invariance of under the relabeling of the coordinates ,
As a consequence,
Hence, we define
and . By convergence of Riemann integrals, we deduce that
By (59) and (60), we deduce that the last integral in the above estimate vanishes. Furthermore, straightforward estimates on the derivatives of yield
This implies the convergence of the series in (17) in the general case.
Case of systems
In the case of systems, the Green function of in reads:
where
Whence, by the above arguments of Sections 5.1 and 5.2, we have the following decomposition:
where the meaning of each term will be made precise below.
The functions are defined by
where the function is the Green function in of the operator . Last, we define the sets by:
where is considered as a matrix in .
Footnotes
Acknowledgements
The author would like to thank both Frédéric Legoll and Pierre-Loïc Rothé, who have brought his attention to this question. Frédéric Legoll has also helped for the proof in the 2-dimensional case. Moreover, the author acknowledges Claude Le Bris for his suggestions concerning the decomposition of the Green functions. Finally, the author gratefully thanks Xavier Blanc for reading the first version of this article, and the anonymous reviewer for his or her accurate suggestions.
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