Localization for random walks among random obstacles in a single Euclidean ball

Abstract

Place an obstacle with probability $1-p$ independently at each vertex of ${\mathbb{Z}}^d$, and run a simple random walk until hitting one of the obstacles. For $d\ge 2$ 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 for environments with probability tending to one as $n\to \infty$ there exists a unique discrete Euclidean ball of volume $d{\log }_{1/p}n$ asymptotically such that the following holds: conditioned on survival up to time $n$ we have that at any time $t\in [o(n),n]$ with probability tending to one the simple random walk is in this ball. This work relies on and substantially improves a previous result of the authors on localization in a region of volume poly-logarithmic in $n$ for the same problem.

arXiv comment59 pages, 6 figures. Version 2 contains minor revisions

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Cited by in corpus (2)

• Distribution of the random walk conditioned on survival among quenched Bernoulli obstacles
• Biased random walk conditioned on survival among Bernoulli obstacles: subcritical phase