QUENCHED INVARIANCE PRINCIPLE FOR RANDOM WALKS AMONG RANDOM DEGENERATE CONDUCTANCES

• 成果类型: Article
• 署名作者: Bella, Peter; Schaffner, Mathias
• 署名单位: Dortmund University of Technology; Leipzig University
• 刊物名称: ANNALS OF PROBABILITY
• ISSN/ISSBN: 0091-1798
• DOI: 10.1214/19-AOP1361
• 发表日期: 2020
• 页码: 296-316
• 关键词: reversible markov-processes; percolation; THEOREM; homogenization; REGULARITY; MODEL; DIFFUSIONS; discrete

摘要

We consider the random conductance model in a stationary and ergodic environment. Under suitable moment conditions on the conductances and their inverse, we prove a quenched invariance principle for the random walk among the random conductances. The moment conditions improve earlier results of Andres, Deuschel and Slowik (Ann. Probab. 43 (2015) 1866-1891) and are the minimal requirement to ensure that the corrector is sublinear everywhere. The key ingredient is an essentially optimal deterministic local boundedness result for finite difference equations in divergence form.