Poly-logarithmic localization for random walks among random obstacles
Abstract
Place an obstacle with probability independently at each vertex of , and run a simple random walk until hitting one of the obstacles. For and 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 \emph{path localization} holds for environments with probability tending to 1 as : conditioned on survival up to time we have that ever since steps the simple random walk is localized in a region of volume poly-logarithmic in 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 was derived conditioned on the survival of Brownian motion up to time .
Cite
@article{arxiv.1703.06922,
title = {Poly-logarithmic localization for random walks among random obstacles},
author = {Jian Ding and Changji Xu},
journal= {arXiv preprint arXiv:1703.06922},
year = {2018}
}
Comments
Exposition further improved. Accepted by Annals of Probability. 41 Pages, 5 figures