English

Exclusion processes in higher dimensions: Stationary measures and convergence

Probability 2007-05-23 v1

Abstract

There has been significant progress recently in our understanding of the stationary measures of the exclusion process on ZZ. The corresponding situation in higher dimensions remains largely a mystery. In this paper we give necessary and sufficient conditions for a product measure to be stationary for the exclusion process on an arbitrary set, and apply this result to find examples on ZdZ^d and on homogeneous trees in which product measures are stationary even when they are neither homogeneous nor reversible. We then begin the task of narrowing down the possibilities for existence of other stationary measures for the process on ZdZ^d. In particular, we study stationary measures that are invariant under translations in all directions orthogonal to a fixed nonzero vector. We then prove a number of convergence results as tt\to\infty for the measure of the exclusion process. Under appropriate initial conditions, we show convergence of such measures to the above stationary measures. We also employ hydrodynamics to provide further examples of convergence.

Keywords

Cite

@article{arxiv.math/0602098,
  title  = {Exclusion processes in higher dimensions: Stationary measures and convergence},
  author = {M. Bramson and T. M. Liggett},
  journal= {arXiv preprint arXiv:math/0602098},
  year   = {2007}
}

Comments

Published at http://dx.doi.org/10.1214/009117905000000341 in the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)

R2 v1 2026-07-22T17:31:07.147Z