Quenched large deviations for multidimensional random walk in random environment: a variational formula
Abstract
We take the point of view of the particle in a multidimensional nearest neighbor random walk in random environment (RWRE). We prove a quenched large deviation principle and derive a variational formula for the quenched rate function. Most of the previous results in this area rely on the subadditive ergodic theorem. We employ a different technique which is based on a minimax theorem. Large deviation principles for RWRE have been proven for i.i.d. nestling environments subject to a moment condition and for ergodic uniformly elliptic environments. We assume only that the environment is ergodic and the transition probabilities satisfy a moment condition.
Cite
@article{arxiv.0804.1444,
title = {Quenched large deviations for multidimensional random walk in random environment: a variational formula},
author = {Jeffrey M. Rosenbluth},
journal= {arXiv preprint arXiv:0804.1444},
year = {2008}
}
Comments
60 pages. A dissertation submitted in partial fulfillment of the requirements for the Ph.D. degree of the Mathematics Department at New York University (January, 2006)