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A multi-dimensional martingale for Markov additive processes and its applications

Published online by Cambridge University Press:  01 July 2016

Søren Asmussen*
Affiliation:
University of Lund
Offer Kella*
Affiliation:
The Hebrew University of Jerusalem
*
Postal address: Department of Mathematical Statistics, University of Lund, Box 118, S-221 00 Lund, Sweden. Email address: asmus@maths.lth.se
∗∗ Postal address: Department of Statistics, The Hebrew University of Jerusalem, Mount Scopus, Jerusalem 91905, Israel. Email address: mskella@mscc.huji.ac.il

Abstract

We establish new multidimensional martingales for Markov additive processes and certain modifications of such processes (e.g., such processes with reflecting barriers). These results generalize corresponding one-dimensional martingale results for Lévy processes. This martingale is then applied to various storage processes, queues and Brownian motion models.

MSC classification

Type
General Applied Probability
Copyright
Copyright © Applied Probability Trust 2000 

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Footnotes

Supported in part by grant 794/97 from the Israel Science Foundation.

References

[1] Anick, D., Mitra, D. and Sondhi, M. M. (1982). Stochastic theory of a data-handling system with multiple sources. Bell System Tech. J. 61, 18711894.Google Scholar
[2] Asmussen, S. (1989). Risk theory in a Markovian environment. Scand. Act. J. 1989, 69100.Google Scholar
[3] Asmussen, S. (1991). Ladder heights and the Markov-modulated M/G/1 queue. Stoch. Proc. Appl. 37, 313326.Google Scholar
[4] Asmussen, S. (1994). Busy period analysis, rare events and transient behavior in fluid flow models. J. Appl. Math. Stoch. Anal. 7, 269299.Google Scholar
[5] Asmussen, S. (1995). Stationary distributions for fluid flow models with or without Brownian noise. Stoch. Models 11, 2149.Google Scholar
[6] Asmussen, S. (1995). Stationary distributions via first passage times. In Advances in Queueing: Models, Methods & Problems, ed. Dshalalow, J. CRC Press, Boca Raton, FL, pp. 79102.Google Scholar
[7] Asmussen, S. (1998). Extreme value theory for queues via cycle maxima. Extremes 1, 137168.Google Scholar
[8] Asmussen, S and Perry, D. (1992). On cycle maxima, first passage problems and extreme value theory for queues. Stoch. Models 8, 421458.Google Scholar
[9] Asmussen, S and Perry, D. (1997). Operational calculus for matrix-exponential distributions, with applications to Brownian (q,Q) models. Math. Operat. Res. 23, 166176.Google Scholar
[10] Baccelli, F. and Makowski, A. M. (1991). Exponential martingales for queues in a random environment: the M/G/1 case. Stoch. Proc. Appl. 38, 99133.CrossRefGoogle Scholar
[11] Berman, A. and Plemmons, R. J. (1979). Nonnegative Matrices in the Mathematical Sciences. Academic Press, New York.Google Scholar
[12] Çinlar, E., (1971). Markov additive processes I-II. Z. Wahrscheinlichkeitsth. 24, 85121.Google Scholar
[13] Borovkov, A. A. (1976). Stochastic Processes in Queueing Theory. Springer, New York.CrossRefGoogle Scholar
[14] Harrison, J. M. (1985). Brownian Motion and Stochastic Flow Systems. Wiley, New York.Google Scholar
[15] Heath, D., Resnick, S. and Samorodnitsky, G. (1998). Heavy tails and long range dependence in On/Off processes and associated fluid models. Math. Operat. Res. 23, 145165.Google Scholar
[16] Kaspi, H. (1984). Storage processes with Markov additive input and output. Math. Operat. Res. 9, 424440.Google Scholar
[17] Kella, O. and Whitt, W. (1992). Useful martingales for stochastic storage processes with Lévy input. J. Appl. Prob. 29, 396403.CrossRefGoogle Scholar
[18] Kella, O. and Whitt, W. (1996). Stability and structural properties of stochastic storage networks. J. Appl. Prob. 33, 11691180.Google Scholar
[19] Nahmias, S. (1989). Production and Operations Analysis. Irwin, Homewood, IL.Google Scholar
[20] Neuts, M. F. (1979). A versatile Markovian point process. J. Appl. Prob. 16, 764779.Google Scholar
[21] Neveu, J. (1961). Une généralisation des processus à accroissementes positifs indépendantes. Abh. Math. Sem. Hamburg 23, 3661.Google Scholar
[22] Protter, P. (1990). Stochastic Integration and Differential Equations. Springer, New York.CrossRefGoogle Scholar
[23] Regterschot, G. J. K. and de Smit, J. H. A. (1986). The queue M/G/1 with Markov-modulated arrivals and services. Math. Operat. Res. 11, 465483.Google Scholar
[24] Rogers, L. C. G. (1994). Fluid models in queueing theory and Wiener–Hopf factorization of Markov chains. Ann. Appl. Prob. 4, 390413.Google Scholar