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Geometric ρ-Mixing Property of the Interarrival Times of a Stationary Markovian Arrival Process

Published online by Cambridge University Press:  30 January 2018

Loïc Hervé*
Affiliation:
INSA de Rennes, IRMAR CNRS UMR 6625
James Ledoux*
Affiliation:
INSA de Rennes, IRMAR CNRS UMR 6625
*
Postal address: INSA, 20 avenue des Buttes de Coesmes, CS 70 839, 35708 Rennes cedex 7, France.
Postal address: INSA, 20 avenue des Buttes de Coesmes, CS 70 839, 35708 Rennes cedex 7, France.
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Abstract

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In this note, the sequence of the interarrivals of a stationary Markovian arrival process is shown to be ρ-mixing with a geometric rate of convergence when the driving process is ρ-mixing. This provides an answer to an issue raised in the recent work of Ramirez-Cobo and Carrizosa (2012) on the geometric convergence of the autocorrelation function of the stationary Markovian arrival process.

Type
Research Article
Copyright
© Applied Probability Trust 

References

Asmussen, S. (2003). Applied Probability and Queues, 2nd edn. Springer, New York.Google Scholar
Bradley, R. C. (2005). Introduction to strong mixing conditions (volume I). Tech. Rep., Indiana University.Google Scholar
Ferré, D., Hervé, L. and Ledoux, J. (2012). Limit theorems for stationary Markov processes with L 2-spectral gap. Ann. Inst. H. Poincaré Prob. Statist. 48, 396423.Google Scholar
Ramirez-Cobo, P. and Carrizosa, E. (2012). A note on the dependence structure of the two-state Markovian arrival process. J. Appl. Prob. 49, 295302.CrossRefGoogle Scholar
Ramirez-Cobo, P., Lillo, R. E. and M, Wiper.. (2010). Nonidentiability of the two-state Markovian arrival process. J. Appl. Prob. 47, 630649.Google Scholar
Rosenblatt, M. (1971). Markov Processes. Structure and Asymptotic Behavior. Springer, New York.Google Scholar