Mourrat, Jean-Christophe
Kantorovich distance in the martingale CLT and quantitative homogenization of parabolic equations with random coefficients
Probability Theory And Related Fields
Probability Theory And Related Fields
Probability Theory And Related Fields
Probability Theory And Related Fields
36
160
1-2
Quantitative homogenization
Martingale
Central limit theorem
Random walk in random environment
2014
2014
The article begins with a quantitative version of the martingale central limit theorem, in terms of the Kantorovich distance. This result is then used in the study of the homogenization of discrete parabolic equations with random i.i.d. coefficients. For smooth initial condition, the rescaled solution of such an equation, once averaged over the randomness, is shown to converge polynomially fast to the solution of the homogenized equation, with an explicit exponent depending only on the dimension. Polynomial rate of homogenization for the averaged heat kernel, with an explicit exponent, is then derived. Similar results for elliptic equations are also presented.
Springer Heidelberg
0178-8051
Probability Theory And Related Fields
Journal Articles
10.1007/s00440-013-0529-5