Title of article :
Heat-kernel estimates for random walk among random conductances with heavy tail
Author/Authors :
Boukhadra، نويسنده , , Omar، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2010
Pages :
13
From page :
182
To page :
194
Abstract :
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 ω x y ∈ [ 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 .
Keywords :
random walk , Random environments , Markov chains , Random conductances , Percolation
Journal title :
Stochastic Processes and their Applications
Serial Year :
2010
Journal title :
Stochastic Processes and their Applications
Record number :
1578241
Link To Document :
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