Journal of the Operations Research Society of Japan
Online ISSN : 2188-8299
Print ISSN : 0453-4514
ISSN-L : 0453-4514
LEVEL-WISE SUBGEOMETRIC CONVERGENCE OF THE LEVEL-INCREMENT TRUNCATION APPROXIMATION OF M/G/1-TYPE MARKOV CHAINS
Katsuhisa OuchiHiroyuki Masuyama
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2022 Volume 65 Issue 4 Pages 198-215

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Abstract

This paper considers the level-increment (LI) truncation approximation of M/G/1-type Markov chains. The LI truncation approximation is often used in implementing Ramaswami's recursion for computing the stationary distribution. We show that if the equilibrium level-increment distribution (in steady state) is long-tailed then its tail decay speed is asymptotically equal to the convergence speed of the level-wise difference between the original stationary distribution and its LI truncation approximation. We also show that the total variation norm of the relative level-wise (not whole) difference of the original stationary distribution and its LI truncation approximation is asymptotically independent of the level.

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© 2022 The Operations Research Society of Japan
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