On the rate of beta-mixing and convergence to a stationary distribution in continuous-time Erlang-type systems

  • Authors:
  • A. Yu. Veretennikov

  • Affiliations:
  • Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow School of Mathematics, University of Leeds, Leeds, UK

  • Venue:
  • Problems of Information Transmission
  • Year:
  • 2010

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Abstract

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.