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Geometric Bounds for Eigenvalues of Markov Chains

The work

AuthorsPersi W. Diaconis; Daniel W. Stroock
Editors
Typearticle
Year1991
Citekeydiaconis1991geometric

Where it appeared

Published inThe Annals of Applied Probability
PublisherInstitute of Mathematical Statistics
Volume1
Issue1
Pages36--61

Identifiers

DOI10.1214/aoap/1177005980
OpenAlexW2043694962

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 develop bounds for the second largest eigenvalue and spectral gap of a reversible Markov chain. The bounds depend on geometric quantities such as the maximum degree, diameter and covering number of associated graphs. The bounds compare well with exact answers for a variety of simple chains and seem better than bounds derived through Cheeger-like inequalities. They offer improved rates of convergence for the random walk associated to approximate computation of the permanent.

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Added2026-10-27 08:49 UTC
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Cite it as

@article{diaconis1991geometric,
  title        = {Geometric Bounds for Eigenvalues of Markov Chains},
  author       = {Persi W. Diaconis and Daniel W. Stroock},
  year         = {1991},
  journal      = {The Annals of Applied Probability},
  publisher    = {Institute of Mathematical Statistics},
  volume       = {1},
  number       = {1},
  pages        = {36--61},
  doi          = {10.1214/aoap/1177005980},
}

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