pith. sign in

arxiv: 0909.4816 · v1 · pith:AXZNGUEXnew · submitted 2009-09-25 · 🧮 math.PR · math-ph· math.MP

Scaling exponent for the Hopf-Cole solution of KPZ/Stochastic Burgers

classification 🧮 math.PR math-phmath.MP
keywords equationsolutionstochasticburgerspartialresultsanalogiesanalogous
0
0 comments X
read the original abstract

We consider the stochastic heat equation $\partial_tZ= \partial_x^2 Z - Z \dot W$ on the real line, where $\dot W$ is space-time white noise. $h(t,x)=-\log Z(t,x)$ is interpreted as a solution of the KPZ equation, and $u(t,x)=\partial_x h(t,x)$ as a solution of the stochastic Burgers equation. We take $Z(0,x)=\exp\{B(x)\}$ where $B(x)$ is a two-sided Brownian motion, corresponding to the stationary solution of the stochastic Burgers equation. We show that there exist $0< c_1\le c_2 <\infty$ such that $c_1t^{2/3}\le \Var (\log Z(t,x))\le c_2 t^{2/3}.$ Analogous results are obtained for some moments of the correlation functions of $u(t,x)$. In particular, it is shown that the excess diffusivity satisfies $c_1t^{1/3}\le D(t) \le c_2 t^{1/3}.$ The proof uses approximation by weakly asymmetric simple exclusion processes, for which we obtain the microscopic analogies of the results by coupling.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.