Quenched Lyapunov exponent for the parabolic Anderson model in a dynamic random environment

Details Quenched Lyapunov exponent for the parabolic Anderson model in a dynamic random environment Quenched Lyapunov exponent for the parabolic Anderson model in a dynamic random environment

2010-11-02

arxiv.org/abs/1011.0541v2

Mathematics

Probability

In honour of J\"urgen G\"artner on the occasion of his 60th birthday, 33 pages. Final revised version

Scientific paper

We continue our study of the parabolic Anderson equation $\partial u/\partial t = \kappa\Delta u + \gamma\xi u$ for the space-time field $u\colon\,\Z^d\times [0,\infty)\to\R$, where $\kappa \in [0,\infty)$ is the diffusion constant, $\Delta$ is the discrete Laplacian, $\gamma\in (0,\infty)$ is the coupling constant, and $\xi\colon\,\Z^d\times [0,\infty)\to\R$ is a space-time random environment that drives the equation. The solution of this equation describes the evolution of a "reactant" $u$ under the influence of a "catalyst" $\xi$, both living on $\Z^d$. In earlier work we considered three choices for $\xi$: independent simple random walks, the symmetric exclusion process, and the symmetric voter model, all in equilibrium at a given density. We analyzed the \emph{annealed} Lyapunov exponents, i.e., the exponential growth rates of the successive moments of $u$ w.r.t.\ $\xi$, and showed that these exponents display an interesting dependence on the diffusion constant $\kappa$, with qualitatively different behavior in different dimensions $d$. In the present paper we focus on the \emph{quenched} Lyapunov exponent, i.e., the exponential growth rate of $u$ conditional on $\xi$. We first prove existence and derive some qualitative properties of the quenched Lyapunov exponent for a general $\xi$ that is stationary and ergodic w.r.t.\ translations in $\Z^d$ and satisfies certain noisiness conditions. After that we focus on the three particular choices for $\xi$ mentioned above and derive some more detailed properties. We close by formulating a number of open problems.

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