Annealed asymptotics for Brownian motion of renormalized potential in mobile random medium
Xia Chen, Jie Xiong

TL;DR
This paper analyzes the asymptotic behavior of exponential moments of Brownian motion in a renormalized Poisson potential, revealing different scaling limits depending on parameters, with implications for models like directed polymers and stochastic PDEs.
Contribution
It provides a detailed asymptotic analysis of exponential moments in a time-dependent Poisson potential, identifying phase transitions based on parameters p and d.
Findings
Different scaling regimes for negative moments depending on p and d.
Behavior of positive moments varies with p, including finite, critical, and infinite regimes.
Explicit asymptotic rates such as t^{d/p}, t^{3/2}, and t log t are established.
Abstract
Motivated by the study of the directed polymer model with mobile Poissonian traps or catalysts and the stochastic parabolic Anderson model with time dependent potential, we investigate the asymptotic behavior of \[\mathbb{E}\otimes\mathbb{E}_0\exp\left\{\pm\theta\int^t_0\bar{V}(s,B_s)ds\right\}\qquad (t\to\infty)\] where is a constant, is the renormalized Poisson potential of the form \[\overline{V}(s,x)=\int_{\mathbb{R}^d}\frac{1}{|y-x|^p}\left(\omega_s(dy)-dy\right),\] and is the measure-valued process consisting of independent Brownian particles whose initial positions form a Poisson random measure on with Lebesgue measure as its intensity. Different scaling limits are obtained according to the parameter and dimension . For the logarithm of the negative exponential moment, the range of is divided into 5 regions…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Random Matrices and Applications · Diffusion and Search Dynamics
