Display Abstract

Title Generalized asymptotic couplings and convergence of transition probabilities

Name Michael Scheutzow
Country Germany
Email ms@math.tu-berlin.de
Co-Author(s)
Submit Time 2014-02-25 07:17:14
Session
Special Session 109: Stochastic Partial Differential Equations
Contents
A classical problem in the theory of Markov processes is to determine the existence and uniqueness of an invariant probability measure. If existence and uniqueness hold then the question whether all transition probabilities converge to the invariant measure is of interest. It has long been known that the strong Feller property together with irreducibility is sufficient for all these properties and in this case the transition probabilities do not only converge weakly but even in total variation. Unfortunately, the strong Feller property does not hold for many Markov processes with an infinite dimensional state space (like solutions of many SPDEs). We will show how generalized asymptotic couplings can be used to prove uniqueness of an invariant measure and weak convergence of transition probabilities.