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Exclusion Processes in Higher Dimensions: Stationary Measures and Convergence

M. Bramson and T. M. Liggett
The Annals of Probability
Vol. 33, No. 6 (Nov., 2005), pp. 2255-2313
Stable URL: http://www.jstor.org/stable/3481783
Page Count: 59
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Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Exclusion Processes in Higher Dimensions: Stationary Measures and Convergence
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Abstract

There has been significant progress recently in our understanding of the stationary measures of the exclusion process on Z. 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 Zd 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 Zd. 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 t → ∞ 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.

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