Relationship between stochastic maximum principle and dynamic programming principle under convex expectation

Xiaojuan Li, Mingshang Hu
{"title":"Relationship between stochastic maximum principle and dynamic programming principle under convex expectation","authors":"Xiaojuan Li, Mingshang Hu","doi":"arxiv-2409.10987","DOIUrl":null,"url":null,"abstract":"In this paper, we study the relationship between maximum principle (MP) and\ndynamic programming principle (DPP) for forward-backward control system under\nconsistent convex expectation dominated by G-expectation. Under the smooth\nassumptions for the value function, we get the relationship between MP and DPP\nunder a reference probability by establishing a useful estimate. If the value\nfunction is not smooth, then we obtain the first-order sub-jet and super-jet of\nthe value function at any t. However, the processing method in this case is\nmuch more difficult than that when t equals 0.","PeriodicalId":501286,"journal":{"name":"arXiv - MATH - Optimization and Control","volume":"69 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - MATH - Optimization and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.10987","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 study the relationship between maximum principle (MP) and dynamic programming principle (DPP) for forward-backward control system under consistent convex expectation dominated by G-expectation. Under the smooth assumptions for the value function, we get the relationship between MP and DPP under a reference probability by establishing a useful estimate. If the value function is not smooth, then we obtain the first-order sub-jet and super-jet of the value function at any t. However, the processing method in this case is much more difficult than that when t equals 0.
凸期望下随机最大原则与动态程序设计原则的关系
本文研究了由 G 期望支配的一致凸期望下前后向控制系统的最大原理(MP)与动态编程原理(DPP)之间的关系。在值函数平滑的假设条件下,我们通过建立一个有用的估计值,得到了在参考概率下 MP 与 DPP 的关系。如果值函数不平滑,则我们可以得到任意 t 下值函数的一阶子喷流和超喷流,但这种情况下的处理方法要比 t 等于 0 时的处理方法困难得多。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信