The additive structure of elliptic homogenization

• 成果类型: Article
• 署名作者: Armstrong, Scott; Kuusi, Tuomo; Mourrat, Jean-Christophe
• 署名单位: Centre National de la Recherche Scientifique (CNRS); Universite PSL; Universite Paris-Dauphine; New York University; Aalto University; Centre National de la Recherche Scientifique (CNRS); Ecole Normale Superieure de Lyon (ENS de LYON)
• 刊物名称: INVENTIONES MATHEMATICAE
• ISSN/ISSBN: 0020-9910
• DOI: 10.1007/s00222-016-0702-4
• 发表日期: 2017
• 页码: 999-1154
• 关键词: stochastic homogenization; normal approximation; Scaling Limit; EQUATIONS; fluctuations; coefficients; REGULARITY; THEOREM

摘要

One of the principal difficulties in stochastic homogenization is transferring quantitative ergodic information from the coefficients to the solutions, since the latter are nonlocal functions of the former. In this paper, we address this problem in a new way, in the context of linear elliptic equations in divergence form, by showing that certain quantities associated to the energy density of solutions are essentially additive. As a result, we are able to prove quantitative estimates on the weak convergence of the gradients, fluxes and energy densities of the first-order correctors (under blow-down) which are optimal in both scaling and stochastic integrability. The proof of the additivity is a bootstrap argument, completing the program initiated in Armstrong et al. (Commun. Math. Phys. 347(2):315-361, 2016): using the regularity theory recently developed for stochastic homogenization, we reduce the error in additivity as we pass to larger and larger length scales. In the second part of the paper, we use the additivity to derive central limit theorems for these quantities by a reduction to sums of independent random variables. In particular, we prove that the first-order correctors converge, in the large-scale limit, to a variant of the Gaussian free field.