Abstract
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.
Original language | English |
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Pages (from-to) | 1048-1057 |
Number of pages | 10 |
Journal | Journal of Applied Probability |
Volume | 47 |
Issue number | 4 |
DOIs | |
State | Published - Dec 2010 |
Keywords
- Fluctuation theory
- Lévy process
- Markov additive process