The parabolic Anderson model in a dynamic random environment: basic properties of the quenched Lyapunov exponent
Dirk Erhard, Frank den Hollander, Gr\'egory Maillard

TL;DR
This paper investigates the fundamental properties of the quenched Lyapunov exponent in the parabolic Anderson model with a dynamic random environment, establishing existence, uniqueness, and continuity under weak assumptions.
Contribution
It proves basic properties of the quenched Lyapunov exponent for the parabolic Anderson model with minimal assumptions on the environment.
Findings
Existence and uniqueness of solutions for all diffusion constants.
The quenched Lyapunov exponent is independent of initial conditions.
Continuity of the Lyapunov exponent with respect to the diffusion constant.
Abstract
In this paper we study the parabolic Anderson equation \partial u(x,t)/\partial t=\kappa\Delta u(x,t)+\xi(x,t)u(x,t), x\in\Z^d, t\geq 0, where the u-field and the \xi-field are \R-valued, \kappa \in [0,\infty) is the diffusion constant, and is the discrete Laplacian. The initial condition u(x,0)=u_0(x), x\in\Z^d, is taken to be non-negative and bounded. The solution of the parabolic Anderson equation describes the evolution of a field of particles performing independent simple random walks with binary branching: particles jump at rate 2d\kappa, split into two at rate \xi\vee 0, and die at rate (-\xi)\vee 0. Our goal is to prove a number of basic properties of the solution u under assumptions on that are as weak as possible. Throughout the paper we assume that is stationary and ergodic under translations in space and time, is not constant and satisfies…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Mathematical and Theoretical Epidemiology and Ecology Models · Nonlinear Partial Differential Equations
