Article ID: | iaor20127198 |
Volume: | 37 |
Issue: | 4 |
Start Page Number: | 626 |
End Page Number: | 653 |
Publication Date: | Nov 2012 |
Journal: | Mathematics of Operations Research |
Authors: | Liu Xin, Budhiraja Amarjit |
Keywords: | markov processes |
A family of constrained diffusions in a random environment is considered. Constraint set is a polyhedral cone and coefficients of the diffusion are governed by, in addition to the system state, a finite‐state Markov process that is independent of the driving noise. Such models arise as limit objects in the heavy traffic analysis of generalized Jackson networks (GJN) with Markov‐modulated arrival and processing rates. We give sufficient conditions (which, in particular, includes a requirement on the regularity of the underlying Skorohod map) for positive recurrence and geometric ergodicity. When the coefficients only depend on the modulating Markov process (i.e., they are independent of the system state), a complete characterization for stability and transience is provided. The case, where the pathwise Skorohod problem is not well posed but the underlying reflection matrix is completely‐