Convergence Implications via Dual Flow Method
Probability
2015-09-01 v1
Abstract
Given a one-dimensional stochastic differential equation, one can associate to this equation a stochastic flow on , which has an absorbing barrier at zero. Then one can define its dual stochastic flow. In \cite{AW}, Akahori and Watanabe showed that its one-point motion solves a corresponding stochastic differential equation of Skorokhod-type. In this paper, we consider a discrete-time stochastic-flow which approximates the original stochastic flow. We show that under some assumptions, one-point motions of its dual flow also approximates the corresponding reflecting diffusion. We investigate the relation between them in weak and strong approximation sense.
Cite
@article{arxiv.1508.07399,
title = {Convergence Implications via Dual Flow Method},
author = {Takafumi Amaba and Dai Taguchi and Go Yuki},
journal= {arXiv preprint arXiv:1508.07399},
year = {2015}
}
Comments
25 pages