Large deviations for multi-scale Markovian switching systems with a small diffusion

Abstract

This work develops asymptotic properties of randomly switching and time inhomogeneous dynamic systems under Brownian perturbation with a small diffusion. The switching process is modeled by a continuous-time Markov chain, which portraits discrete events that cannot be modeled by a diffusion process. In the model, there are two small parameters. One of them is ε associated with the generator of the continuous-time, inhomogeneous Markov chain, and the other is δ=δ_ε signifies the small intensity of the diffusion. Assume ε→0 and δ_ε→0 as ε→0. This paper focuses on large deviations type of estimates for such Markovian switching systems with small diffusions. The ratio ε/δ_ε can be a nonzero constant, or equal to 0, or ∞. These three different cases yield three different outcomes. This paper analyzes the three cases and present the corresponding asymptotic properties.