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The geometric convergence rate of a Lindley random walk

Part of: Special processes Markov processes

Published online by Cambridge University Press:  14 July 2016

Robert B. Lund
Robert B. Lund*
Affiliation:
University of Georgia
*
∗Postal address: Department of Statistics, The University of Georgia, Athens, GA 30602–1952, USA.
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Abstract

Let {Xn} be the Lindley random walk on [0,∞) defined by . Here, {An} is a sequence of independent and identically distributed random variables. When for some r > 1, {Xn} converges at a geometric rate in total variation to an invariant distribution π; i.e. there exists s > 1 such that for every initial state . In this communication we supply a short proof and some extensions of a large deviations result initially due to Veraverbeke and Teugels (1975, 1976): the largest s satisfying the above relationship is and satisfies φ ‘(r0) = 0.

Keywords

MARKOV CHAINGEOMETRIC CONVERGENCETOTAL VARIATIONQUEUES

MSC classification

Primary: 60K25: Queueing theory
Secondary: 60J25: Continuous-time Markov processes on general state spaces
Type
Short Communications
Information
Journal of Applied Probability , Volume 34 , Issue 3 , September 1997 , pp. 806 - 811
Copyright
Copyright © Applied Probability Trust 1997 

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References

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