Wiener--Hopf factorization for time-inhomogeneous
Markov chains and its application
T. R. Bielecki
Igor Cialenco
Ruoting Gong
Yicong Huang
Abstract:
We derive the Wiener–Hopf factorization for a finite-state time-inhomogeneous
Markov chain. Considered as the first step in the direction of the Wiener–Hopf
factorization for time-inhomogeneous Markov chains, this work deals only with a special,
but important class of time-inhomogeneous Markovian generators, namely piecewise constant
generators, which allows us to use an appropriately tailored randomization technique.
2010 AMS Mathematics Subject Classification: Primary 60J27, 60J28, 60K30, 90B05. Secondary XXXX.
Keywords and phrases: Wiener--Hopf factorization, inhomogeneous Markov chain, fluctuation theory,
randomization method, additive functional.