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Bibliographic Details
Main Author: Lau, Aidan
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2604.07528
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author Lau, Aidan
author_facet Lau, Aidan
contents We prove quantitative homogenization results for high contrast parabolic equations with random coefficients depending on both space and time. In particular, we prove that under a sufficient decorrelation assumption the homogenization length scale is bounded by $\exp(C\log^2(1+Λ/λ)) + C\sqrtλ$. The proof is based on a parabolic coarse-graining framework which generalizes the results of Armstrong and Kuusi in the elliptic setting.
format Preprint
id arxiv_https___arxiv_org_abs_2604_07528
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Coarse-graining and quantitative stochastic homogenization of parabolic equations in high contrast
Lau, Aidan
Analysis of PDEs
We prove quantitative homogenization results for high contrast parabolic equations with random coefficients depending on both space and time. In particular, we prove that under a sufficient decorrelation assumption the homogenization length scale is bounded by $\exp(C\log^2(1+Λ/λ)) + C\sqrtλ$. The proof is based on a parabolic coarse-graining framework which generalizes the results of Armstrong and Kuusi in the elliptic setting.
title Coarse-graining and quantitative stochastic homogenization of parabolic equations in high contrast
topic Analysis of PDEs
url https://arxiv.org/abs/2604.07528