arXiv:0812.2669 [math.PR]AbstractReferencesReviewsResources
Heat-kernel estimates for random walk among random conductances with heavy tail
Published 2008-12-14, updated 2009-12-30Version 4
We study models of discrete-time, symmetric, $\Z^{d}$-valued random walks in random environments, driven by a field of i.i.d. random nearest-neighbor conductances $\omega_{xy}\in[0,1]$, with polynomial tail near 0 with exponent $\gamma>0$. We first prove for all $d\geq5$ that the return probability shows an anomalous decay (non-Gaussian) that approches (up to sub-polynomial terms) a random constant times $n^{-2}$ when we push the power $\gamma$ 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 $n^{-d/2}$ for large values of the parameter $\gamma$.
Comments: Version to appear in SPA
Journal: Stochastic Processes and their Applications 120 (2010) 182-194
Categories: math.PR
Keywords: random conductances, heat-kernel estimates, heavy tail, random nearest-neighbor conductances, random constant times
Tags: journal article
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