Matrix analysis
Markov-modulated queueing systems
Proceedings of the workshop held at the Mathematical Sciences Institute Cornell University on Mathematical theory of queueing systems
IEEE/ACM Transactions on Networking (TON)
Option Pricing With Markov-Modulated Dynamics
SIAM Journal on Control and Optimization
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We study the first passage process of a spectrally negative Markov additive process (MAP). The focus is on the background Markov chain at the times of the first passage. This process is a Markov chain itself with a transition rate matrix @L. Assuming time reversibility, we show that all the eigenvalues of @L are real, with algebraic and geometric multiplicities being the same, which allows us to identify the Jordan normal form of @L. Furthermore, this fact simplifies the analysis of fluctuations of a MAP. We provide an illustrative example and show that our findings greatly reduce the computational efforts required to obtain @L in the time-reversible case.