Quantitative homogenization for log-normal coefficients

Fuente: arXiv
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Autori principali: Clozeau, Nicolas, Gloria, Antoine, Qi, Siguang
Natura: Preprint
Pubblicazione: 2024
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author Clozeau, Nicolas
Gloria, Antoine
Qi, Siguang
author_facet Clozeau, Nicolas
Gloria, Antoine
Qi, Siguang
contents We establish quantitative homogenization results for the popular log-normal coefficients. Since the coefficients are neither bounded nor uniformly elliptic, standard proofs do not apply directly. Instead, we take inspiration from the approach developed for the nonlinear setting by the first two authors and capitalize on large-scale regularity results by Bella, Fehrmann, and Otto for degenerate coefficients in order to leverage an optimal control (in terms of scaling and stochastic integrability) of oscillations and fluctuations.
format Preprint
id arxiv_https___arxiv_org_abs_2403_00168
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Quantitative homogenization for log-normal coefficients
Clozeau, Nicolas
Gloria, Antoine
Qi, Siguang
Analysis of PDEs
Probability
35R60, 35B27, 35B65, 60F05, 60H07
We establish quantitative homogenization results for the popular log-normal coefficients. Since the coefficients are neither bounded nor uniformly elliptic, standard proofs do not apply directly. Instead, we take inspiration from the approach developed for the nonlinear setting by the first two authors and capitalize on large-scale regularity results by Bella, Fehrmann, and Otto for degenerate coefficients in order to leverage an optimal control (in terms of scaling and stochastic integrability) of oscillations and fluctuations.
title Quantitative homogenization for log-normal coefficients
topic Analysis of PDEs
Probability
35R60, 35B27, 35B65, 60F05, 60H07
url https://arxiv.org/abs/2403.00168