A note on Wiener-Hopf factorization for Markov Additive processes
Przemyslaw Klusik, Zbigniew Palmowski

TL;DR
This paper establishes the Wiener-Hopf factorization for Markov Additive processes and derives related theorems, providing new tools for analyzing their probabilistic structure and ladder processes.
Contribution
It introduces the Wiener-Hopf factorization and related theorems specifically for Markov Additive processes, extending classical results to this broader class.
Findings
Proved Wiener-Hopf factorization for Markov Additive processes
Derived Spitzer-Rogozin theorem for this class
Obtained Kendall's formula and Fristedt representation
Abstract
We prove the Wiener-Hopf factorization for Markov Additive processes. We derive also Spitzer-Rogozin theorem for this class of processes which serves for obtaining Kendall's formula and Fristedt representation of the cumulant matrix of the ladder epoch process. Finally, we also obtain the so-called ballot theorem.
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Taxonomy
TopicsRandom Matrices and Applications · Matrix Theory and Algorithms · Markov Chains and Monte Carlo Methods
