Heat-kernel estimates for random walk among random conductances with heavy tail |
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Authors: | Omar Boukhadra |
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Affiliation: | Centre de Mathématiques et Informatique (CMI)-Université de Provence, France; Département de Mathématiques, UMC, Constantine, Algeria |
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Abstract: | ![]() We study models of discrete-time, symmetric, Zd-valued random walks in random environments, driven by a field of i.i.d. random nearest-neighbor conductances ωxy∈[0,1], with polynomial tail near 0 with exponent γ>0. We first prove for all d≥5 that the return probability shows an anomalous decay (non-Gaussian) that approaches (up to sub-polynomial terms) a random constant times n−2 when we push the power γ 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 γ. |
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Keywords: | 60G50 60J10 60K37 |
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