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Eigenvalue Bounds on Convergence to Stationarity for Nonreversible Markov Chains, with an Application to the Exclusion Process

The work

AuthorsJames Allen Fill
Editors
Typearticle
Year1991
Citekeyfill1991eigenvalue

Where it appeared

Published inThe Annals of Applied Probability
PublisherInstitute of Mathematical Statistics
Volume1
Issue1
Pages62--87

Identifiers

DOI10.1214/aoap/1177005981
OpenAlexW2069092471

From OpenAlex, which stores abstracts as an index of words and their positions: what is shown is rebuilt from that, and reads fluently whether or not it is what the author wrote.

Abstract

We extend recently developed eigenvalue bounds on mixing rates for reversible Markov chains to nonreversible chains. We then apply our results to show that the \(d\)-particle simple exclusion process corresponding to clockwise walk on the discrete circle \(\mathbf{Z}_p\) is rapidly mixing when \(d\) grows with \(p\). The dense case $d = p/2$ arises in a Poisson blockers problem in statistical mechanics.

How it got here

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Added2026-10-27 09:23 UTC
Not denied bya person 2026-10-29 17:12 UTC

Cite it as

@article{fill1991eigenvalue,
  title        = {Eigenvalue Bounds on Convergence to Stationarity for Nonreversible Markov Chains, with an Application to the Exclusion Process},
  author       = {James Allen Fill},
  year         = {1991},
  journal      = {The Annals of Applied Probability},
  publisher    = {Institute of Mathematical Statistics},
  volume       = {1},
  number       = {1},
  pages        = {62--87},
  doi          = {10.1214/aoap/1177005981},
}

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