On the Rate of Beta-Mixing and Convergence to a Stationary Distribution in Continuous-Time Erlang-Type Systems
We establish sufficient conditions for polynomial rate of convergence to a stationary distribution and of beta-mixing in continuous-time Erlang-type systems. Our results are a natural complement both to results of Erlang himself, dating back to the beginning of the 20th century, and to exponential estimates established later.