Special Session 87: Large Population Optimization, Stochastic Filtering and Mathematical Finance

Diffusion Approximation and Stability of Stochastic Differential Equations with Singular Perturbation

Fuke Wu
Huazhong University of Science and Technology
Peoples Rep of China
Co-Author(s):    Huagui Liu, Shujun Liu
Abstract:
This paper investigates diffusion approximation of non-homogeneous singularly perturbed stochastic differential equations with locally Lipschitz continuous coefficients by using the first-order perturbation test function method and formulation of the martingale problem. Under appropriate conditions, if the averaging system is exponential stable, the slow component is also uniformly asymptotically stable. Since the averaging system is often simpler than the original system, this stability result is interesting.