POLY-LOGARITHMIC LOCALIZATION FOR RANDOM WALKS AMONG RANDOM OBSTACLES

• 成果类型: Article
• 署名作者: Ding, Jian; Xu, Changji
• 署名单位: University of Pennsylvania; University of Chicago
• 刊物名称: ANNALS OF PROBABILITY
• ISSN/ISSBN: 0091-1798
• DOI: 10.1214/18-AOP1300
• 发表日期: 2019
• 页码: 2011-2048
• 关键词: parabolic anderson model; brownian-motion; confinement; asymptotics; intermittency; eigenvalues; percolation; survival; tail

摘要

Place an obstacle with probability 1 - p independently at each vertex of Z(d), and run a simple random walk until hitting one of the obstacles. For d >= 2 and p strictly above the critical threshold for site percolation, we condition on the environment where the origin is contained in an infinite connected component free of obstacles, and we show that the following path localization holds for environments with probability tending to 1 as n -> infinity: conditioned on survival up to time n we have that ever since o(n) steps the simple random walk is localized in a region of volume poly-logarithmic in n with probability tending to 1. The previous best result of this type went back to Sznitman (1996) on Brownian motion among Poisson obstacles, where a localization (only for the end point) in a region of volume t(o()(1)) was derived conditioned on the survival of Brownian motion up to time t.