arXiv · 2208.07560
Asymptotic behavior for multi-scale SDEs with monotonicity coefficients driven by L\'evy processes
Abstract
In this paper, we study the asymptotic behavior for multi-scale stochastic differential equations driven by L\'evy processes. The optimal strong convergence order 1/2 is obtained by studying the regularity estimates for the solution of Poisson equation with polynomial growth coefficients, and the optimal weak convergence order 1 is got by using the technique of Kolmogorov equation. The main contribution is that the obtained results can be applied to a class of multi-scale stochastic differential equations with monotonicity coefficients, as well as the driven processes can be the general L\'evy processes, which seems new in the existing literature.
Explore related subjects
Keep this discovery
Yinghui Shi, Xiaobin Sun, Liqiong Wang, Yingchao Xie. 2022-08-16. Asymptotic behavior for multi-scale SDEs with monotonicity coefficients driven by L\'evy processes. https://arxiv.org/abs/2208.07560
Cite the original work for its findings. Save a collection to share your selection of sources.