Finite-time implications of relaxation times for stochastically monotone processes

DOI10.1007/BF01848136zbMath0644.60070MaRDI QIDQ1102630

David J. Aldous

Publication date: 1988

Published in: Probability Theory and Related Fields (Search for Journal in Brave)

zbMATH Keywords

relaxation timestationary distributionStochastic monotonicitystochastically monotone chains

Mathematics Subject Classification ID

Continuous-time Markov processes on discrete state spaces (60J27)

Related Items (2)

Strong stationary duality for Möbius monotone Markov chains ⋮ On the largest negative eigenvalue of the infinitesimal generator associated with M/M/n/n queues

Cites Work

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• Information regularity and the central limit question
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• The equivalence of absorbing and reflecting barrier problems for stochastically monotone Markov processes
• The L 2spectral gap of certain positive recurrent Markov chains and jump processes
• Conditions for exponential ergodicity and bounds for the decay parameter of a birth-death process
• Coefficients of ergodicity: structure and applications
• An introduction to synergetics

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