Heat-kernel estimates for random walk among random conductances with heavy tail
Probability
2009-12-30 v4
Abstract
We study models of discrete-time, symmetric, -valued random walks in random environments, driven by a field of i.i.d. random nearest-neighbor conductances , with polynomial tail near 0 with exponent . We first prove for all that the return probability shows an anomalous decay (non-Gaussian) that approches (up to sub-polynomial terms) a random constant times when we push the power to zero. In contrast, we prove that the heat-kernel decay is as close as we want, in a logarithmic sense, to the standard decay for large values of the parameter .
Cite
@article{arxiv.0812.2669,
title = {Heat-kernel estimates for random walk among random conductances with heavy tail},
author = {Omar Boukhadra},
journal= {arXiv preprint arXiv:0812.2669},
year = {2009}
}
Comments
Version to appear in SPA