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Bibliographic Details
Main Authors: Ouchi, Katsuhisa, Masuyama, Hiroyuki
Format: Preprint
Published: 2023
Subjects:
Online Access:https://arxiv.org/abs/2302.11181
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author Ouchi, Katsuhisa
Masuyama, Hiroyuki
author_facet Ouchi, Katsuhisa
Masuyama, Hiroyuki
contents This paper considers the level-increment (LI) truncation approximation of M/G/1-type Markov chains. The LI truncation approximation is usually used to implement Ramaswami's recursion for the stationary distribution in M/G/1-type Markov chains. The main result of this paper is a subgeometric convergence formula for the total-variation distance between the stationary distribution and its LI truncation approximation.
format Preprint
id arxiv_https___arxiv_org_abs_2302_11181
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle A Subgeometric Convergence Formula for Total-variation Error of the Level-increment Truncation Approximation of M/G/1-type Markov Chains
Ouchi, Katsuhisa
Masuyama, Hiroyuki
Probability
This paper considers the level-increment (LI) truncation approximation of M/G/1-type Markov chains. The LI truncation approximation is usually used to implement Ramaswami's recursion for the stationary distribution in M/G/1-type Markov chains. The main result of this paper is a subgeometric convergence formula for the total-variation distance between the stationary distribution and its LI truncation approximation.
title A Subgeometric Convergence Formula for Total-variation Error of the Level-increment Truncation Approximation of M/G/1-type Markov Chains
topic Probability
url https://arxiv.org/abs/2302.11181