arXiv Analytics

Sign in

arXiv:1503.09165 [math.PR]AbstractReferencesReviewsResources

Optimal stopping time and halting set for total variation distance

Agnes Coquio

Published 2015-03-31Version 1

An aperiodic and irreducible Markov chain on a finite state space converges to its stationary distribution. When convergence to equilibrium is measured by total variation distance, there exists an optimal coupling and a maximal coupling time. In this article, the maximal coupling time is compared to the hitting time of a specific state or set. Such sets, named halting sets, are studied in the case of symmetric birth-and-death chains and in some other examples. Some applications to the cutoff phenomenon are given. These results yield new methods to calculate cutoff times for some monotone birth-and death chains without the lazy hypothesis .

Related articles: Most relevant | Search more
arXiv:1705.05194 [math.PR] (Published 2017-05-15)
Total variation distance between stochastic polynomials and invariance principles
arXiv:2101.00546 [math.PR] (Published 2021-01-03)
Optimal stopping time on discounted semi-Markov processes
arXiv:2107.07510 [math.PR] (Published 2021-07-15)
Optimal stopping time on semi-Markov processes with finite horizon