Saved in:
Bibliographic Details
Main Authors: Shen, Guangjun, Wang, Jiangpeng, Zhang, Xuekang
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2512.17300
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1866914209829224448
author Shen, Guangjun
Wang, Jiangpeng
Zhang, Xuekang
author_facet Shen, Guangjun
Wang, Jiangpeng
Zhang, Xuekang
contents In this paper, we establish the propagation of chaos and Euler-Maruyama method of DDSDE driven by multiplicative fractional Brownian motion with Hurst parameter $H\in (\frac{\sqrt{5}-1}{2},1)$. We have not only obtained an upper bound for the error of the Euler-Maruyama method but also verified the correctness of this result via systematic numerical simulation experiments.
format Preprint
id arxiv_https___arxiv_org_abs_2512_17300
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Euler-Maruyama method for distribution dependent stochastic differential equation driven by multiplicative fractional Brownian motion
Shen, Guangjun
Wang, Jiangpeng
Zhang, Xuekang
Probability
In this paper, we establish the propagation of chaos and Euler-Maruyama method of DDSDE driven by multiplicative fractional Brownian motion with Hurst parameter $H\in (\frac{\sqrt{5}-1}{2},1)$. We have not only obtained an upper bound for the error of the Euler-Maruyama method but also verified the correctness of this result via systematic numerical simulation experiments.
title Euler-Maruyama method for distribution dependent stochastic differential equation driven by multiplicative fractional Brownian motion
topic Probability
url https://arxiv.org/abs/2512.17300