首页 | 本学科首页   官方微博 | 高级检索  
     


Strong stationary duality for continuous-time Markov chains. Part I: Theory
Authors:James Allen Fill
Affiliation:(1) Department of Mathematical Sciences, The Johns Hopkins University, Baltimore, Maryland
Abstract:
LetX(t), 0let<infin, 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.
Keywords:Markov chains  generators  mixing rates  variation distance  time to stationarity  strong stationary duality  monotone likelihood ratio  birth and death chains  ergenvalues
本文献已被 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号