The Annals of Applied Probability · 2006 · 80 citations · 19 references
EngineeringMathematicsDynamical SystemsProbability TheoryStochastic ProcessesBirth-death ProcessesMarkov ChainsMarkov ProcessesBirth-death ChainsContinuous-time Markov ChainsContinuous-time ModelsMixing Time AnalysisMixing TimesSpectral GapsStochastic Birth-death Processes
This paper gives a necessary and sufficient condition for a sequence of birth and death chains to converge abruptly to stationarity, that is, to present a cut-off. The condition involves the notions of spectral gap and mixing time. Y. Peres has observed that for many families of Markov chains, there is a cut-off if and only if the product of spectral gap and mixing time tends to infinity. We establish this for arbitrary birth and death chains in continuous time when the convergence is measured in separation and the chains all start at 0.
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Shuffling Cards and Stopping Times
David Aldous, Persi Diaconis · American Mathematical Monthly · 1986 · 347 citations
Strong Stationary Times Via a New Form of Duality
Persi Diaconis, James Allen Fill · The Annals of Probability · 1990 · 276 citations · Full text
Engineering, Mathematics, Physics +17