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Estimate of Heat Kernel for Euler-Maruyama Scheme of SDEs Driven by α-Stable Noise and Applications

Authors :
Huang, Xing
Suo, Yongqiang
Yuan, Chenggui
Publication Year :
2021
Publisher :
arXiv, 2021.

Abstract

In this paper, the discrete parameter expansion is adopted to investigate the estimation of heat kernel for Euler-Maruyama scheme of SDEs driven by α-stable noise, which implies krylov's estimate and khasminskii's estimate. As an application, the convergence rate of Euler-Maruyama scheme of a class of multidimensional SDEs with singular drift( in aid of Zvonkin's transformation) is obtained.<br />24pages

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........9003acce6764fd7c701c4758f3e55c77
Full Text :
https://doi.org/10.48550/arxiv.2103.01323