Tatsuaki Kimura, Hiroyuki Masuyama, Yutaka Takahashi
Published 2014-10-21Version 1
This paper considers the subexponential asymptotics of the stationary distributions of GI/G/1-type Markov chains in two cases: (i) the phase transition matrix in non-boundary levels is stochastic; and (ii) it is strictly substochastic. For the case (i), we present a weaker sufficient condition for the sub exponential asymptotics than those given in the literature. As for the case (ii), the subexponential asymptotics has not been studied, as far as we know. We show that the subexponential asymptotics in the case (ii) is different from that in the case (i). We also study the locally subexponential asymptotics of the stationary distributions in both cases (i) and (ii).
Comments: This is a revised version of the paper published in Stochastic Models vol.~29, no.~2, pp.~190--293, 2013
Journal: Stochastic Models vol.~29, no.~2, pp.~190--293, 2013
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Concentration of measure and mixing for Markov chains
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