Asymptotic properties of jump-diffusion processes with state-dependent switching

AbstractThis work is concerned with a class of jump-diffusion processes with state-dependent switching. First, the existence and uniqueness of the solution of a system of stochastic integro-differential equations are obtained with the aid of successive construction methods. Next, the non-explosiveness is proved by truncation arguments. Then, the Feller continuity is established by means of introducing some auxiliary processes and by making use of the Radon–Nikodym derivatives. Furthermore, the strong Feller continuity is proved by virtue of the relation between the transition probabilities of jump-diffusion processes and the corresponding diffusion processes. Finally, on the basis of the above results, the exponential ergodicity is obtained under the Foster–Lyapunov drift conditions. Some examples are provided for illustration

Stability of a random diffusion with nonlinear drift

For the solution to a rather general nonlinear stochastic differential equation with Markovian switching, we first prove its Feller continuity and the existence and uniqueness of invariant measure by the coupling method, then discuss its stability in total variation norm by the Foster-Lyapunov inequality.Coupling Feller continuity Stability Total variation Foster-Lyapunov inequality

Asymptotic properties of nonlinear autoregressive Markov processes with state-dependent switching

In this paper, we consider a class of nonlinear autoregressive (AR) processes with state-dependent switching, which are two-component Markov processes. The state-dependent switching model is a nontrivial generalization of Markovian switching formulation and it includes the Markovian switching as a special case. We prove the Feller and strong Feller continuity by means of introducing auxiliary processes and making use of the Radon-Nikodym derivatives. Then, we investigate the geometric ergodicity by the Foster-Lyapunov inequality. Moreover, we establish the V-uniform ergodicity by means of introducing additional auxiliary processes and by virtue of constructing certain order-preserving couplings of the original as well as the auxiliary processes. In addition, illustrative examples are provided for demonstration.Ergodicity Nonlinear autoregressive process Two-component Markov process State-dependent switching Foster-Lyapunov inequality Radon-Nikodym derivative Order-preserving coupling

Large deviations for Cox-Ingersoll-Ross processes with state-dependent fast switching

We study the large deviations for Cox-Ingersoll-Ross (CIR) processes with small noise and state-dependent fast switching via associated Hamilton-Jacobi equations. As the separation of time scales, when the noise goes to $0$ and the rate of switching goes to $\infty$, we get a limit equation characterized by the averaging principle. Moreover, we prove the large deviation principle (LDP) with an action-integral form rate function to describe the asymptotic behavior of such systems. The new ingredient is establishing the comparison principle in the singular context. The proof is carried out using the nonlinear semigroup method coming from Feng and Kurtz's book.Comment: 34 pages, 3 figure