{"title":"Split-step ϑ integrator for generalized stochastic Volterra integro-differential equations","authors":"Hassan Ranjbar","doi":"10.1016/j.matcom.2025.01.021","DOIUrl":null,"url":null,"abstract":"<div><div>This study investigates the theoretical analysis and numerical approximation of generalized stochastic Volterra integro-differential equations. First, we examine the existence, uniqueness, boundedness and Hölder continuity of the exact solutions for generalized SVIDEs. To numerically solve, the split-step <span><math><mi>ϑ</mi></math></span> integrator is proposed. We then demonstrate the boundedness of the numerical solution. Further, it has been shown that the scheme is strongly convergent with order half. Numerical experiments are carried out to support our findings.</div></div>","PeriodicalId":49856,"journal":{"name":"Mathematics and Computers in Simulation","volume":"233 ","pages":"Pages 165-186"},"PeriodicalIF":4.4000,"publicationDate":"2025-01-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mathematics and Computers in Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378475425000291","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
引用次数: 0
Abstract
This study investigates the theoretical analysis and numerical approximation of generalized stochastic Volterra integro-differential equations. First, we examine the existence, uniqueness, boundedness and Hölder continuity of the exact solutions for generalized SVIDEs. To numerically solve, the split-step integrator is proposed. We then demonstrate the boundedness of the numerical solution. Further, it has been shown that the scheme is strongly convergent with order half. Numerical experiments are carried out to support our findings.
期刊介绍:
The aim of the journal is to provide an international forum for the dissemination of up-to-date information in the fields of the mathematics and computers, in particular (but not exclusively) as they apply to the dynamics of systems, their simulation and scientific computation in general. Published material ranges from short, concise research papers to more general tutorial articles.
Mathematics and Computers in Simulation, published monthly, is the official organ of IMACS, the International Association for Mathematics and Computers in Simulation (Formerly AICA). This Association, founded in 1955 and legally incorporated in 1956 is a member of FIACC (the Five International Associations Coordinating Committee), together with IFIP, IFAV, IFORS and IMEKO.
Topics covered by the journal include mathematical tools in:
•The foundations of systems modelling
•Numerical analysis and the development of algorithms for simulation
They also include considerations about computer hardware for simulation and about special software and compilers.
The journal also publishes articles concerned with specific applications of modelling and simulation in science and engineering, with relevant applied mathematics, the general philosophy of systems simulation, and their impact on disciplinary and interdisciplinary research.
The journal includes a Book Review section -- and a "News on IMACS" section that contains a Calendar of future Conferences/Events and other information about the Association.