Hostname: page-component-cd9895bd7-p9bg8 Total loading time: 0 Render date: 2024-12-25T16:21:32.064Z Has data issue: false hasContentIssue false

First Passage of a Markov Additive Process and Generalized Jordan Chains

Published online by Cambridge University Press:  14 July 2016

Bernardo D‘Auria*
Affiliation:
Universidad Carlos III de Madrid
Jevgenijs Ivanovs*
Affiliation:
Eurandom and University of Amsterdam
Offer Kella*
Affiliation:
The Hebrew University of Jerusalem
Michel Mandjes*
Affiliation:
University of Amsterdam, Eurandom and CWI
*
Postal address: Universidad Carlos III de Madrid, Avda Universidad 30, 28911 Leganes (Madrid), Spain.
∗∗Postal address: Eurandom, PO Box 513, 5600 MB Eindhoven, The Netherlands. Email address: [email protected]
∗∗∗Postal address: Department of Statistics, The Hebrew University of Jerusalem, Jerusalem 91905, Israel.
∗∗∗∗Postal address: Korteweg-de Vries Institute for Mathematics, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, The Netherlands.
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

In this paper we consider the first passage process of a spectrally negative Markov additive process (MAP). The law of this process is uniquely characterized by a certain matrix function, which plays a crucial role in fluctuation theory. We show how to identify this matrix using the theory of Jordan chains associated with analytic matrix functions. This result provides us with a technique that can be used to derive various further identities.

Type
Research Article
Copyright
Copyright © Applied Probability Trust 2010 

References

[1] Asmussen, S. (1995). Stationary distributions for fluid flow models with or without Brownian noise, Commun. Statist. Stoch. Models 11, 2149.Google Scholar
[2] Asmussen, S. (2003). Applied Probability and Queues (Appl. Math. 51), 2nd edn. Springer, New York.Google Scholar
[3] Asmussen, S. and Kella, O. (2000). A multi-dimensional martingale for Markov additive processes and its applications. Adv. Appl. Prob. 32, 376393.Google Scholar
[4] Asmussen, S. and Pihlsgård, M. (2007). Loss rates for Lévy processes with two reflecting barriers. Math. Operat. Res. 32, 308321.Google Scholar
[5] Asmussen, S., Avram, F. and Pistorius, M. R. (2004). Russian and American put options under exponential phase-type Lévy models. Stoch. Process. Appl. 109, 79111.Google Scholar
[6] Breuer, L. (2008). First passage times for Markov additive processes with positive Jumps of phase type. J. Appl. Prob. 45, 779799.Google Scholar
[7] D'Auria, B., Ivanovs, J., Kella, O. and Mandjes, M. (2010). First passage process of a Markov additive process, with applications to reflection problems. Preprint. Available at http;//arxiv.org/abs/1006.2965v1.Google Scholar
[8] Dieker, A. B. and Mandjes, M. (2010). Extremes of Markov-additive processes with one-sided Jumps, with queueing applications. To appear in Methodology Comput. Appl. Prob. Available at http://www2.isye.gatech.edu/adieker3/publications/modulatedfluid.pdf.Google Scholar
[9] Doolittle, E. (1998). Analytic Functions of Matrices Available at http://citeseerx.ksu.edu.sa/viewdoc/download?doi=10.1.1.51.2968&rep=rep1&type=pdf.Google Scholar
[10] Gohberg, I. and Rodman, L. (1981). Analytic matrix functions with prescribed local data. J. Analyse Math. 40, 90128.Google Scholar
[11] Gohberg, I., Lancaster, P. and Rodman, L. (2006). Invariant Subspaces of Matrices with Applications (Classics Appl. Math. 51). Society for Industrial and Applied Mathematics, Philadelphia, PA.Google Scholar
[12] Ivanovs, J. and Mandjes, M. (2010). First passage of time-reversible spectrally negative Markov additive processes. Operat. Res. Lett. 38, 7781.Google Scholar
[13] Ivanovs, J., Boxma, O. and Mandjes, M. (2010). Singularities of the matrix exponent of a Markov additive process with one-sided Jumps. Stoch. Process. Appl. 120, 17761794.Google Scholar
[14] Jobert, A. and Rogers, L. C. G. (2006). Option pricing with Markov-modulated dynamics. SIAM J. Control Optimization 44, 20632078.Google Scholar
[15] Kyprianou, A. E. (2006). Introductory Lectures on Fluctuations of Lévy Processes with Applications. Springer, Berlin.Google Scholar
[16] Kyprianou, A. E. and Palmowski, Z. (2008). Fluctuations of spectrally negative Markov additive processes. In Séminaire de Probabilités XLI (Lecture Notes Math. 1934), Springer, Berlin, pp. 121135.CrossRefGoogle Scholar
[17] Miyazawa, M. and Takada, H. (2002). A matrix exponential form for hitting probabilities and its application to a Markov-modulated fluid queue with downward Jumps. J. Appl. Prob. 39, 604618.CrossRefGoogle Scholar
[18] Pistorius, M. (2006). On maxima and ladder processes for a dense class of Lévy processes. J. Appl. Prob. 43, 208220.Google Scholar
[19] Prabhu, N. U. (1998). Stochastic Storage Processes (Appl. Math. 15), 2nd edn. Springer, New York.Google Scholar
[20] Prabhu, N. U. and Zhu, Y. (1989). Markov-modulated queueing systems. Queueing Systems 5, 215245.CrossRefGoogle Scholar
[21] Rogers, L. C. G. (1994). Fluid models in queueing theory and Wiener-Hopf factorization of Markov chains. Ann. Appl. Prob. 4, 390413.CrossRefGoogle Scholar