A Computational Framework for the Mixing Times in the QBD Processes with Infinitely-Many Levels

نویسندگان

  • Quan-Lin Li
  • Jing Cao
چکیده

In this paper, we develop some matrix Poisson’s equations satisfied by the mean and variance of the mixing time in an irreducible positive-recurrent discrete-time Markov chain with infinitely-many levels, and provide a computational framework for the solution to the matrix Poisson’s equations by means of the UL-type of RGfactorization as well as the generalized inverses. In an important special case: the level-dependent QBD processes, we provide a detailed computation for the mean and variance of the mixing time. Based on this, we give new highlight on computation of the mixing time in the block-structured Markov chains with infinitely-many levels through the matrix-analytic method.

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عنوان ژورنال:
  • CoRR

دوره abs/1308.4227  شماره 

صفحات  -

تاریخ انتشار 2013