1. Optimal quantitative estimates in stochastic homogenization for elliptic equations in nondivergence form
- Author
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Jessica Lin, Scott N. Armstrong, CEntre de REcherches en MAthématiques de la DEcision (CEREMADE), Centre National de la Recherche Scientifique (CNRS)-Université Paris Dauphine-PSL, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Department of Mathematics [Madison], and University of Wisconsin-Madison
- Subjects
Mechanical Engineering ,Probability (math.PR) ,010102 general mathematics ,Complex system ,01 natural sciences ,Homogenization (chemistry) ,Microscopic scale ,Nonlinear system ,Mathematics - Analysis of PDEs ,Mathematics (miscellaneous) ,Norm (mathematics) ,0103 physical sciences ,FOS: Mathematics ,Applied mathematics ,[MATH.MATH-AP]Mathematics [math]/Analysis of PDEs [math.AP] ,010307 mathematical physics ,0101 mathematics ,Mathematics - Probability ,Analysis ,Analysis of PDEs (math.AP) ,Mathematics - Abstract
We prove quantitative estimates for the stochastic homogenization of linear uniformly elliptic equations in nondivergence form. Under strong independence assumptions on the coefficients, we obtain optimal estimates on the subquadratic growth of the correctors with stretched exponential-type bounds in probability. Like the theory of Gloria and Otto \cite{GO1,GO2} for divergence form equations, the arguments rely on nonlinear concentration inequalities combined with certain estimates on the Green's functions and derivative bounds on the correctors. We obtain these analytic estimates by developing a $C^{1,1}$ regularity theory down to microscopic scale, which is of independent interest and is inspired by the $C^{0,1}$ theory introduced in the divergence form case by the first author and Smart \cite{AS2}., Comment: 49 pages, revised version to appear in Arch Ration Mech Anal
- Published
- 2017