The Annals of Applied Probability

Rate of relaxation for a mean-field zero-range process

Benjamin T. Graham

Full-text: Open access

Abstract

We study the zero-range process on the complete graph. It is a Markov chain model for a microcanonical ensemble. We prove that the process converges to a fluid limit. The fluid limit rapidly relaxes to the appropriate Gibbs distribution.

Article information

Source
Ann. Appl. Probab., Volume 19, Number 2 (2009), 497-520.

Dates
First available in Project Euclid: 7 May 2009

Permanent link to this document
https://projecteuclid.org/euclid.aoap/1241702239

Digital Object Identifier
doi:10.1214/08-AAP549

Mathematical Reviews number (MathSciNet)
MR2521877

Zentralblatt MATH identifier
1166.60338

Subjects
Primary: 60K35: Interacting random processes; statistical mechanics type models; percolation theory [See also 82B43, 82C43]
Secondary: 82C20: Dynamic lattice systems (kinetic Ising, etc.) and systems on graphs

Keywords
Mean field zero-range process balls boxes Markov chain relaxation spectral gap log Sobolev

Citation

Graham, Benjamin T. Rate of relaxation for a mean-field zero-range process. Ann. Appl. Probab. 19 (2009), no. 2, 497--520. doi:10.1214/08-AAP549. https://projecteuclid.org/euclid.aoap/1241702239


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