Quantitative homogenization in a balanced random environment
Xiaoqin Guo, Jonathon Peterson, Viet-Hung Tran · Electronic Journal of Probability · 2022
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 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.