Long-time tails in the parabolic Anderson model with bounded potential
Marek Biskup, Wolfgang Koenig

TL;DR
This paper analyzes the long-time behavior of solutions to the parabolic Anderson model with bounded random potential, revealing asymptotics of moments and almost-sure growth, and establishing Lifshitz tails for the associated Schrödinger operator.
Contribution
It identifies the asymptotics of moments and almost-sure behavior of the solution based on potential distribution, and establishes Lifshitz tail behavior at the spectrum's bottom.
Findings
Asymptotics of moments of u(t,0) are characterized by variational problems.
Almost-sure asymptotics of u(t,0) are determined for large t.
Lifshitz tail exponents range from d/2 to infinity, with power-law behavior and corrections.
Abstract
We consider the parabolic Anderson problem on with random i.i.d. potential and the initial condition . Our main assumption is that . Depending on the thickness of the distribution close to its essential supremum, we identify both the asymptotics of the moments of and the almost-sure asymptotics of as in terms of variational problems. As a by-product, we establish Lifshitz tails for the random Schr\"odinger operator at the bottom of its spectrum. In our class of distributions, the Lifshitz exponent ranges from to ; the power law is typically accompanied by lower-order corrections.
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Taxonomy
TopicsSpectral Theory in Mathematical Physics · Advanced Mathematical Modeling in Engineering · Numerical methods in inverse problems
