On Polynomial Mixing and Convergence Rate for Stochastic Difference and Differential Equations

Abstract

Polynomial bounds for $\beta$-mixing and for the rate of convergence to the invariant measure are established for discrete time Markov processes and solutions of stochastic differential equations under weak stability assumptions.