The Strong Ergodic Principle and Rates of Convergence for Markov Processes with Random Environment
Dihe Hu · 2009
The paper introduces the model of Markov processes in random environments,studies the necessary and sufficient conditions for strong ergodic principles under this model.Moreover,it proves the strong ergodic principle includes the rates of convergence when the random transition function belongs to G+.It also finds the best rate of convergence and gets the condition for reaching the best rate of convergence.