Diffusion approximation for fully coupled stochastic differential equations
arXiv:2008.04817
Abstract
We consider a Poisson equation in for the elliptic operator corresponding to an ergodic diffusion process. Optimal regularity and smoothness with respect to the parameter are obtained under mild conditions on the coefficients. The result is then applied to establish a general diffusion approximation for fully coupled multi-time-scales stochastic differential equations with only Hölder continuous coefficients. Four different averaged equations as well as rates of convergence are obtained. Moreover, the convergence is shown to rely only on the regularities of the coefficients with respect to the slow variable, and does not depend on their regularities with respect to the fast component.
arXiv comment38 pages
References in corpus (7)
- On the Poisson equation and diffusion approximation 3
- An averaging principle for a completely integrable stochastic Hamiltonian system
- Averaging principle and normal deviations for multiscale stochastic systems
- Homogenization of periodic linear degenerate PDEs
- Superdiffusive limits for deterministic fast-slow dynamical systems
- Strong and weak convergence in the averaging principle for SDEs with Hölder coefficients
- Non-Asymptotic Gaussian Estimates for the Recursive Approximation of the Invariant Measure of a Diffusion