{"title":"Split-step θ-method for stochastic pantograph differential equations: Convergence and mean-square stability analysis","authors":"Fathalla A. Rihan, K. Udhayakumar","doi":"10.1016/j.apnum.2025.05.010","DOIUrl":null,"url":null,"abstract":"<div><div>This paper introduces a <em>split-step θ-method</em> (SS<em>θ</em>-method) with variable step sizes for solving stochastic pantograph delay differential equations (SPDDEs). We establish the mean-square convergence of the proposed SS<em>θ</em>-method and show that it achieves a strong convergence order of order 1/2. Under certain assumptions, we prove that the SS<em>θ</em>-method is exponentially mean-square stable for <span><math><mi>θ</mi><mo>≥</mo><mn>0.5</mn></math></span>. Additionally, we analyze the asymptotic mean-square stability of the SS<em>θ</em>-method under a stronger assumption. Finally, numerical examples illustrate the effectiveness of the proposed methods.</div></div>","PeriodicalId":8199,"journal":{"name":"Applied Numerical Mathematics","volume":"217 ","pages":"Pages 1-17"},"PeriodicalIF":2.4000,"publicationDate":"2025-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied Numerical Mathematics","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0168927425001163","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
This paper introduces a split-step θ-method (SSθ-method) with variable step sizes for solving stochastic pantograph delay differential equations (SPDDEs). We establish the mean-square convergence of the proposed SSθ-method and show that it achieves a strong convergence order of order 1/2. Under certain assumptions, we prove that the SSθ-method is exponentially mean-square stable for . Additionally, we analyze the asymptotic mean-square stability of the SSθ-method under a stronger assumption. Finally, numerical examples illustrate the effectiveness of the proposed methods.
期刊介绍:
The purpose of the journal is to provide a forum for the publication of high quality research and tutorial papers in computational mathematics. In addition to the traditional issues and problems in numerical analysis, the journal also publishes papers describing relevant applications in such fields as physics, fluid dynamics, engineering and other branches of applied science with a computational mathematics component. The journal strives to be flexible in the type of papers it publishes and their format. Equally desirable are:
(i) Full papers, which should be complete and relatively self-contained original contributions with an introduction that can be understood by the broad computational mathematics community. Both rigorous and heuristic styles are acceptable. Of particular interest are papers about new areas of research, in which other than strictly mathematical arguments may be important in establishing a basis for further developments.
(ii) Tutorial review papers, covering some of the important issues in Numerical Mathematics, Scientific Computing and their Applications. The journal will occasionally publish contributions which are larger than the usual format for regular papers.
(iii) Short notes, which present specific new results and techniques in a brief communication.