{"title":"扩展条件g期望和相关停止时间","authors":"Mingshang Hu, S. Peng","doi":"10.3934/puqr.2021018","DOIUrl":null,"url":null,"abstract":"<p style='text-indent:20px;'>In this paper, we extend the definition of conditional <inline-formula> <tex-math id=\"M2\">\\begin{document}$ G{\\text{-}}{\\rm{expectation}} $\\end{document}</tex-math> </inline-formula> to a larger space on which the dynamical consistency still holds. We can consistently define, by taking the limit, the conditional <inline-formula> <tex-math id=\"M3\">\\begin{document}$ G{\\text{-}}{\\rm{expectation}} $\\end{document}</tex-math> </inline-formula> for each random variable <inline-formula> <tex-math id=\"M4\">\\begin{document}$ X $\\end{document}</tex-math> </inline-formula>, which is the downward limit (respectively, upward limit) of a monotone sequence <inline-formula> <tex-math id=\"M5\">\\begin{document}$ \\{X_{i}\\} $\\end{document}</tex-math> </inline-formula> in <inline-formula> <tex-math id=\"M6\">\\begin{document}$ L_{G}^{1}(\\Omega) $\\end{document}</tex-math> </inline-formula>. To accomplish this procedure, some careful analysis is needed. Moreover, we present a suitable definition of stopping times and obtain the optional stopping theorem. We also provide some basic and interesting properties for the extended conditional <inline-formula> <tex-math id=\"M7\">\\begin{document}$ G{\\text{-}}{\\rm{expectation}} $\\end{document}</tex-math> </inline-formula>. </p>","PeriodicalId":42330,"journal":{"name":"Probability Uncertainty and Quantitative Risk","volume":"8 1","pages":""},"PeriodicalIF":1.0000,"publicationDate":"2013-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Extended conditional G-expectations and related stopping times\",\"authors\":\"Mingshang Hu, S. Peng\",\"doi\":\"10.3934/puqr.2021018\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p style='text-indent:20px;'>In this paper, we extend the definition of conditional <inline-formula> <tex-math id=\\\"M2\\\">\\\\begin{document}$ G{\\\\text{-}}{\\\\rm{expectation}} $\\\\end{document}</tex-math> </inline-formula> to a larger space on which the dynamical consistency still holds. We can consistently define, by taking the limit, the conditional <inline-formula> <tex-math id=\\\"M3\\\">\\\\begin{document}$ G{\\\\text{-}}{\\\\rm{expectation}} $\\\\end{document}</tex-math> </inline-formula> for each random variable <inline-formula> <tex-math id=\\\"M4\\\">\\\\begin{document}$ X $\\\\end{document}</tex-math> </inline-formula>, which is the downward limit (respectively, upward limit) of a monotone sequence <inline-formula> <tex-math id=\\\"M5\\\">\\\\begin{document}$ \\\\{X_{i}\\\\} $\\\\end{document}</tex-math> </inline-formula> in <inline-formula> <tex-math id=\\\"M6\\\">\\\\begin{document}$ L_{G}^{1}(\\\\Omega) $\\\\end{document}</tex-math> </inline-formula>. To accomplish this procedure, some careful analysis is needed. Moreover, we present a suitable definition of stopping times and obtain the optional stopping theorem. We also provide some basic and interesting properties for the extended conditional <inline-formula> <tex-math id=\\\"M7\\\">\\\\begin{document}$ G{\\\\text{-}}{\\\\rm{expectation}} $\\\\end{document}</tex-math> </inline-formula>. </p>\",\"PeriodicalId\":42330,\"journal\":{\"name\":\"Probability Uncertainty and Quantitative Risk\",\"volume\":\"8 1\",\"pages\":\"\"},\"PeriodicalIF\":1.0000,\"publicationDate\":\"2013-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Probability Uncertainty and Quantitative Risk\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.3934/puqr.2021018\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"STATISTICS & PROBABILITY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Probability Uncertainty and Quantitative Risk","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.3934/puqr.2021018","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"STATISTICS & PROBABILITY","Score":null,"Total":0}
引用次数: 10
摘要
In this paper, we extend the definition of conditional \begin{document}$ G{\text{-}}{\rm{expectation}} $\end{document} to a larger space on which the dynamical consistency still holds. We can consistently define, by taking the limit, the conditional \begin{document}$ G{\text{-}}{\rm{expectation}} $\end{document} for each random variable \begin{document}$ X $\end{document} , which is the downward limit (respectively, upward limit) of a monotone sequence \begin{document}$ \{X_{i}\} $\end{document} in \begin{document}$ L_{G}^{1}(\Omega) $\end{document} . To accomplish this procedure, some careful analysis is needed. Moreover, we present a suitable definition of stopping times and obtain the optional stopping theorem. We also provide some basic and interesting properties for the extended conditional \begin{document}$ G{\text{-}}{\rm{expectation}} $\end{document} .
Extended conditional G-expectations and related stopping times
In this paper, we extend the definition of conditional \begin{document}$ G{\text{-}}{\rm{expectation}} $\end{document} to a larger space on which the dynamical consistency still holds. We can consistently define, by taking the limit, the conditional \begin{document}$ G{\text{-}}{\rm{expectation}} $\end{document} for each random variable \begin{document}$ X $\end{document}, which is the downward limit (respectively, upward limit) of a monotone sequence \begin{document}$ \{X_{i}\} $\end{document} in \begin{document}$ L_{G}^{1}(\Omega) $\end{document}. To accomplish this procedure, some careful analysis is needed. Moreover, we present a suitable definition of stopping times and obtain the optional stopping theorem. We also provide some basic and interesting properties for the extended conditional \begin{document}$ G{\text{-}}{\rm{expectation}} $\end{document}.
期刊介绍:
Probability, Uncertainty and Quantitative Risk (PUQR) is a quarterly academic journal under the supervision of the Ministry of Education of the People's Republic of China and hosted by Shandong University, which is open to the public at home and abroad (ISSN 2095-9672; CN 37-1505/O1).
Probability, Uncertainty and Quantitative Risk (PUQR) mainly reports on the major developments in modern probability theory, covering stochastic analysis and statistics, stochastic processes, dynamical analysis and control theory, and their applications in the fields of finance, economics, biology, and computer science. The journal is currently indexed in ESCI, Scopus, Mathematical Reviews, zbMATH Open and other databases.