abstract It is shown that Markov maps when subjected to weakly continuous random perturbations have an attractive invariant measure that incorporates the dispersive effects of perturbations as well as the ordering effects of the mapping.
keywords Functions; Mathematical operators; Perturbation techniques; Set theory; Stability; Theorem proving; Contractivity factor; Markov maps; Markov operator; Probabilistic dynamics; Markov processes