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On a variant of random homogenization theory: convergence ofthe residual process and approximation of the homogenized coefficients

Published online by Cambridge University Press:  07 February 2014

Frédéric Legoll  and
Florian Thomines
Frédéric Legoll
Affiliation:
Laboratoire Navier, École Nationale des Ponts et Chaussées, Université Paris-Est, 6 et 8 Avenue Blaise Pascal, 77455 Marne-La-Vallée Cedex 2, France.. legoll@lami.enpc.fr
Florian Thomines
Affiliation:
INRIA Rocquencourt, MICMAC team-project, Domaine de Voluceau, B.P. 105, 78153 Le Chesnay Cedex, France.; florian.thomines@enpc.fr
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Abstract

We consider the variant of stochastic homogenization theory introduced in [X. Blanc, C.Le Bris and P.-L. Lions, C. R. Acad. Sci. Série I 343 (2006)717–724.; X. Blanc, C. Le Bris and P.-L. Lions, J. Math. Pures Appl.88 (2007) 34–63.]. The equation under consideration is a standardlinear elliptic equation in divergence form, where the highly oscillatory coefficient isthe composition of a periodic matrix with a stochastic diffeomorphism. The homogenizedlimit of this problem has been identified in [X. Blanc, C. Le Bris and P.-L. Lions,C. R. Acad. Sci. Série I 343 (2006) 717–724.]. We firstestablish, in the one-dimensional case, a convergence result (with an explicit rate) onthe residual process, defined as the difference between the solution to the highlyoscillatory problem and the solution to the homogenized problem. We next return to themultidimensional situation. As often in random homogenization, the homogenized matrix isdefined from a so-called corrector function, which is the solution to a problem set on theentire space. We describe and prove the almost sure convergence of an approximationstrategy based on truncated versions of the corrector problem.

Keywords

Stochastic homogenizationrandom stationary diffeomorphismscentral limit resultapproximation of homogenized coefficients
Type
Research Article
Information
ESAIM: Mathematical Modelling and Numerical Analysis , Volume 48 , Issue 2: Multiscale problems and techniques , March 2014 , pp. 347 - 386
Copyright
© EDP Sciences, SMAI, 2014

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