Heat-kernel estimates for random walk among random conductances with heavy tail

被引:14
|
作者
Boukhadra, Omar [1 ,2 ]
机构
[1] Univ Aix Marseille 1, CMI, F-13453 Marseille 13, France
[2] UMC, Dept Math, Constantine, Algeria
关键词
Random walk; Random environments; Markov chains; Random conductances; Percolation; QUENCHED INVARIANCE-PRINCIPLES; BOUNDED RANDOM CONDUCTANCES; PERCOLATION CLUSTERS; DECAY;
D O I
10.1016/j.spa.2009.11.001
中图分类号
O21 [概率论与数理统计]; C8 [统计学];
学科分类号
020208 ; 070103 ; 0714 ;
摘要
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) is an element of [0, 1], with polynomial tail near 0 with exponent gamma > 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 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. (C) 2009 Elsevier B.V. All rights reserved.
引用
收藏
页码:182 / 194
页数:13
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