Open Access
July 2021 Markov chain approximations for one dimensional diffusions
Xiaodan Li, Jiangang Ying
Author Affiliations +
Osaka J. Math. 58(3): 551-561 (July 2021).

Abstract

The Markov chain approximation of a one-dimensional symmetric diffusion is investigated in this paper. Given an irreducible reflecting diffusion on a closed interval with scale function $s$ and speed measure $m$, the approximating Markov chains are constructed explicitly through the trace of the Dirichlet form corresponding to the diffusion. One feature of our approach is that it does not require uniform ellipticity on diffusion coefficient of the limit object or uniform regularity on conductances of the approximative Markov chains, as imposed usually in the previous related works.

Funding Statement

The first and second named author is partially supported by NSFC No. 11871162.

Acknowledgments

The authors would like to thank Yushu, Zheng, PhD student of the second author, for his helpful suggestions.

Citation

Download Citation

Xiaodan Li. Jiangang Ying. "Markov chain approximations for one dimensional diffusions." Osaka J. Math. 58 (3) 551 - 561, July 2021.

Information

Received: 31 January 2020; Revised: 11 March 2020; Published: July 2021
First available in Project Euclid: 20 July 2021

MathSciNet: MR4350045
zbMATH: 1473.60105

Subjects:
Primary: 60B10 , 60J27
Secondary: 60J60

Rights: Copyright © 2021 Osaka University and Osaka City University, Departments of Mathematics

Vol.58 • No. 3 • July 2021
Back to Top