A novel second order scheme with one step for forward backward stochastic differential equations

Qiang Han, Shihao Lan, Quanxin Zhu
{"title":"A novel second order scheme with one step for forward backward stochastic differential equations","authors":"Qiang Han, Shihao Lan, Quanxin Zhu","doi":"arxiv-2409.07118","DOIUrl":null,"url":null,"abstract":"In this paper, we present a novel explicit second order scheme with one step\nfor solving the forward backward stochastic differential equations, with the\nCrank-Nicolson method as a specific instance within our proposed framework. We\nfirst present a rigorous stability result, followed by precise error estimates\nthat confirm the proposed novel scheme achieves second-order convergence. The\ntheoretical results for the proposed methods are supported by numerical\nexperiments.","PeriodicalId":501162,"journal":{"name":"arXiv - MATH - Numerical Analysis","volume":"8 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Numerical Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.07118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

In this paper, we present a novel explicit second order scheme with one step for solving the forward backward stochastic differential equations, with the Crank-Nicolson method as a specific instance within our proposed framework. We first present a rigorous stability result, followed by precise error estimates that confirm the proposed novel scheme achieves second-order convergence. The theoretical results for the proposed methods are supported by numerical experiments.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
用于前向后向随机微分方程的新型一步二阶方案
在本文中,我们以 Crank-Nicolson 方法作为我们提出的框架中的一个具体实例,提出了一种新颖的一步求解前向后向随机微分方程的显式二阶方案。我们首先给出了一个严格的稳定性结果,然后给出了精确的误差估计,证实所提出的新方案实现了二阶收敛。数值实验支持了所提方法的理论结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
A Lightweight, Geometrically Flexible Fast Algorithm for the Evaluation of Layer and Volume Potentials Adaptive Time-Step Semi-Implicit One-Step Taylor Scheme for Stiff Ordinary Differential Equations Conditions aux limites fortement non lin{é}aires pour les {é}quations d'Euler de la dynamique des gaz Fully guaranteed and computable error bounds on the energy for periodic Kohn-Sham equations with convex density functionals A novel Mortar Method Integration using Radial Basis Functions
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1