English

Quantitative homogenization in a balanced random environment

Probability 2022-09-30 v2 Analysis of PDEs

Abstract

We consider discrete non-divergence form difference operators in a random environment and the corresponding process--the random walk in a balanced random environment in Zd\mathbb{Z}^d with a finite range of dependence. We first quantify the ergodicity of the environment from the point of view of the particle. As a consequence, we quantify the quenched central limit theorem of the random walk with an algebraic rate. Furthermore, we prove an algebraic rate of convergence for the homogenization of the Dirichlet problems for both elliptic and parabolic non-divergence form difference operators.

Keywords

Cite

@article{arxiv.1903.12151,
  title  = {Quantitative homogenization in a balanced random environment},
  author = {Xiaoqin Guo and Jonathon Peterson and Hung V. Tran},
  journal= {arXiv preprint arXiv:1903.12151},
  year   = {2022}
}

Comments

30 pages, 1 figure

R2 v1 2026-06-23T08:22:28.989Z