Strong stationary duality for continuous-time Markov chains. Part I: Theory |
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Authors: | James Allen Fill |
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Affiliation: | (1) Department of Mathematical Sciences, The Johns Hopkins University, Baltimore, Maryland |
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Abstract: | LetX(t), 0t<, be an ergodic continuous-time Markov chain with finite or countably infinite state space. We construct astrong stationary dual chainX* whose first hitting times yield bounds on the convergence to stationarity forX. The development follows closely the discrete-time theory of Diaconis and Fill.(2,3) However, for applicability it is important that we formulate our results in terms of infinitesimal rates, and this raises new issues. |
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Keywords: | Markov chains generators mixing rates variation distance time to stationarity strong stationary duality monotone likelihood ratio birth and death chains ergenvalues |
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