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December 2008 Weak and almost sure limits for the parabolic Anderson model with heavy tailed potentials
Remco van der Hofstad, Peter Mörters, Nadia Sidorova
Ann. Appl. Probab. 18(6): 2450-2494 (December 2008). DOI: 10.1214/08-AAP526

Abstract

We study the parabolic Anderson problem, that is, the heat equation tuu+ξu on (0, ∞)×ℤd with independent identically distributed random potential {ξ(z) : z∈ℤd} and localized initial condition u(0, x)=10(x). Our interest is in the long-term behavior of the random total mass U(t)=∑zu(t, z) of the unique nonnegative solution in the case that the distribution of ξ(0) is heavy tailed. For this, we study two paradigm cases of distributions with infinite moment generating functions: the case of polynomial or Pareto tails, and the case of stretched exponential or Weibull tails. In both cases we find asymptotic expansions for the logarithm of the total mass up to the first random term, which we describe in terms of weak limit theorems. In the case of polynomial tails, already the leading term in the expansion is random. For stretched exponential tails, we observe random fluctuations in the almost sure asymptotics of the second term of the expansion, but in the weak sense the fourth term is the first random term of the expansion. The main tool in our proofs is extreme value theory.

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Remco van der Hofstad. Peter Mörters. Nadia Sidorova. "Weak and almost sure limits for the parabolic Anderson model with heavy tailed potentials." Ann. Appl. Probab. 18 (6) 2450 - 2494, December 2008. https://doi.org/10.1214/08-AAP526

Information

Published: December 2008
First available in Project Euclid: 26 November 2008

zbMATH: 1204.60061
MathSciNet: MR2474543
Digital Object Identifier: 10.1214/08-AAP526

Subjects:
Primary: 60H25 , 82C44
Secondary: 60F05 , 60F15 , 60G70

Keywords: Anderson Hamiltonian , Extreme value theory , heavy tails , Intermittency , Law of the iterated logarithm , Localization , long term behavior , Parabolic Anderson problem , Pareto distribution , partial differential equations with random coefficients , random environment , Random potential , weak limit theorem , Weibull distribution

Rights: Copyright © 2008 Institute of Mathematical Statistics

Vol.18 • No. 6 • December 2008
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