Valleys and the maximum local time for random walk in random environment
Abstract
Let be the local time at for a recurrent one-dimensional random walk in random environment after steps, and consider the maximum . It is known that is a positive constant a.s. We prove that 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 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}
}
Comments
30 pages