English

Valleys and the maximum local time for random walk in random environment

Probability 2007-05-23 v2

Abstract

Let ξ(n,x)\xi(n, x) be the local time at xx for a recurrent one-dimensional random walk in random environment after nn steps, and consider the maximum ξ(n)=maxxξ(n,x)\xi^*(n) = \max_x \xi(n,x). It is known that lim supξ(n)/n\limsup \xi^*(n)/n is a positive constant a.s. We prove that lim infn(logloglogn)ξ(n)/n\liminf_n (\log\log\log n)\xi^*(n)/n is a positive constant a.s.; this answers a question of P. R\'ev\'esz (1990). The proof is based on an analysis of the {\em valleys /} in the environment, defined as the potential wells of record depth. In particular, we show that almost surely, at any time nn large enough, the random walker has spent almost all of its lifetime in the two deepest valleys of the environment it has encountered. We also prove a uniform exponential tail bound for the ratio of the expected total occupation time of a valley and the expected local time at its bottom.

Keywords

Cite

@article{arxiv.math/0508579,
  title  = {Valleys and the maximum local time for random walk in random environment},
  author = {Amir Dembo and Nina Gantert and Yuval Peres and Zhan Shi},
  journal= {arXiv preprint arXiv:math/0508579},
  year   = {2007}
}

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30 pages