

Preprint 28/2010
An optimal error estimate in stochastic homogenization of discrete elliptic equations
Antoine Gloria and Felix Otto
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Submission date: 26. May. 2010
Pages: 26
published in: The annals of applied probability, 22 (2012) 1, p. 1-28
DOI number (of the published article): 10.1214/10-AAP745
Bibtex
MSC-Numbers: 35B27, 39A70, 60H25, 60F99
Keywords and phrases: stochastic homogenization, effective coefficients, difference operator
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Abstract:
This paper is the second of a series of articles on quantitatives estimates
in stochastic homogenization of discrete elliptic equations.
We consider a discrete elliptic equation on the d-dimensional
lattice with random coefficients A
of the simplest type: They
are identically distributed and independent from edge to edge.
On scales large w. r. t. the lattice spacing (i. e. unity), the solution operator is known to behave like
the solution operator of a (continuous) elliptic equation with
constant deterministic coefficients. This symmetric ``homogenized''
matrix
is characterized by
for any direction
,
where the random field
(the ``corrector'')
is the unique solution of
in
such that
,
is stationary and
,
denoting the ensemble average (or expectation).
In order to approximate the homogenized coefficients , the corrector
problem is usually solved in a box
of size 2L with periodic boundary
conditions, and the space averaged energy on
defines an approximation
of
. Although the statistics is modified (independence is replaced
by periodic correlations) and the ensemble average is replaced by a space average,
the approximation
converges almost surely to
as
.
In this paper, we give estimates on both errors. To be more precise, we do not consider
periodic boundary conditions on a box of size 2L, but replace the elliptic operator by
with (typically)
, as standard in the homogenization literature.
We then replace the ensemble average by a space average on
,
and estimate the overall error on the homogenized coefficients in terms of L and T.