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Conductance and convergence of Markov chains-a combinatorial treatment of expanders
Abstract
A direct combinatorial argument is given to bound the convergence rate of Markov chains in terms of their conductance (these are statements of the nature 'random walks on expanders converge fast'). In addition to showing that the linear algebra in previous arguments for such results on time-reversible Markov chains was unnecessary, the direct analysis applies to general irreversible Markov chains.>
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Sinclair, A. (1992) · Combinatorics, Probability and Computing · doi:10.1017/s0963548300000390 · Cited by 498
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Ron, D., Singer, Y., & Tishby, N. (1997) · Machine Learning · doi:10.1007/bf00114008 · Cited by 447
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Metadata
- Authors
- Mihail, M.
- Venue
- 30th Annual Symposium on Foundations of Computer Science
- Publisher
- IEEE
- Published
- 1989
- Pages
- 526-531
- ISSN
- 0272-5428 (ISSN-L)
- OpenAlex
- W2140802988
- Cited by
- 175
- References
- 0
- FWCI
- 11.54
- Type
- conference paper
- Language
- en
- Open access
- closed
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