{"title":"Existence and Uniqueness Solution for a Semimartingale Stochastic Integral Equation","authors":"Hanan Salem Abd Alhafid","doi":"10.37376/sjuob.v36i1.3934","DOIUrl":null,"url":null,"abstract":"This paper studied existence and uniqueness of a solution for a semimartingale stochastic integral equation by using Existence and Uniqueness Theorem on the martingale process. Using the concept of convergence Cauchy sequence to a cadlag process , where , we can find a convergence Cauchy sequence to a cadlag process on the space of martingales, where is a square-integrable cadlag martingale on a probability space , as = . And some important assumptions are is a map from the space into the space of -matrices. satisfies a spatial Lipschitz condition uniformly in the other variables: for each there exists a finite constant such that this holds for and all : . ii. Given any adapted -valued cadlag process on , the function is a predictable process, and there exist stopping times such that is bounded for each .","PeriodicalId":503472,"journal":{"name":"The Scientific Journal of University of Benghazi","volume":"30 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Scientific Journal of University of Benghazi","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.37376/sjuob.v36i1.3934","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
This paper studied existence and uniqueness of a solution for a semimartingale stochastic integral equation by using Existence and Uniqueness Theorem on the martingale process. Using the concept of convergence Cauchy sequence to a cadlag process , where , we can find a convergence Cauchy sequence to a cadlag process on the space of martingales, where is a square-integrable cadlag martingale on a probability space , as = . And some important assumptions are is a map from the space into the space of -matrices. satisfies a spatial Lipschitz condition uniformly in the other variables: for each there exists a finite constant such that this holds for and all : . ii. Given any adapted -valued cadlag process on , the function is a predictable process, and there exist stopping times such that is bounded for each .