Papers
Topics
Authors
Recent
Search
2000 character limit reached

Singular diffusion limit of a tagged particle in zero range processes with Sinai-type random environment

Published 24 Feb 2025 in math.PR, math-ph, and math.MP | (2502.17365v1)

Abstract: We derive a singular diffusion limit for the position of a tagged particle in zero range interacting particle processes on a one dimensional torus with a Sinai-type random environment via two steps. In the first step, a regularization is introduced by averaging the random environment over an $\varepsilon N$-neighborhood. With respect to such an environment, the microscopic drift of the tagged particle is in form $\frac{1}{N}W_\varepsilon'$, where $W_\varepsilon'$ is a regularized White noise. Scaling diffusively, we find the nonequilibrium limit of the tagged particle $x\varepsilon_t$ is the unique weak solution of $d x_t{\varepsilon} = 2\frac{\Phi(\rho{\varepsilon}(t, x_t{\varepsilon}))}{\rho{\varepsilon}(t, x_t\varepsilon)} \,W_{\varepsilon}'(x_t\varepsilon) + \sqrt{\frac{\Phi(\rho{\varepsilon}(t, x_t\varepsilon))}{\rho{\varepsilon}(t, x_t\varepsilon)}} \,dB_t$, in terms of the hydrodynamic mass density $\rho\varepsilon$ recently identified and homogenized interaction rate $\Phi$. In the second step, we show that $x\varepsilon$, as $\varepsilon$ vanishes, converges in law to the diffusion $x0$ described informally by $d x_t0 = 2\frac{\Phi(\rho{0}(t, x_t{0}))}{\rho{0}(t, x_t0)} \,W'(x_t0) + \sqrt{\frac{\Phi(\rho{0}(t, x_t0))}{\rho{0}(t, x_t0)}} \,dB_t$, where $W'$ is a spatial White noise and $\rho0$ is the para-controlled limit of $\rho\varepsilon$ also recently identified, solving the singular PDE $ \partial_t \rho0 = \frac{1}{2}\Delta \Phi(\rho0) - 2\nabla \big(W' \Phi(\rho0)\big)$.

Summary

No one has generated a summary of this paper yet.

Paper to Video (Beta)

No one has generated a video about this paper yet.

Whiteboard

No one has generated a whiteboard explanation for this paper yet.

Open Problems

We haven't generated a list of open problems mentioned in this paper yet.

Continue Learning

We haven't generated follow-up questions for this paper yet.

Collections

Sign up for free to add this paper to one or more collections.

Tweets

Sign up for free to view the 2 tweets with 1 like about this paper.