{"title":"Laplace Adomian decomposition method for integro differential equations on time scale","authors":"Shafiq Hussain, Feroz Khan","doi":"10.1016/j.asej.2025.103271","DOIUrl":null,"url":null,"abstract":"<div><div>The aim of this work is to probe the Laplace Adomian decomposition method (LADM) for some certain linear and non-linear integro-differential equations on an arbitrary time scales. Although, several researchers have treated integro-differential equations (linear/nonlinear) utilizing different techniques, but most of them were based on classical calculus. In particular, <span><span>[10]</span></span> have catered the integro-differential equations on time scale using Adomian decomposition method (ADM). Whereas <span><span>[28]</span></span> have entertained the initial value problems with ADM on time scales. However, there exist no piece of work in literature that addressed integro-differential equations using LADM on time scales. Hence, in this work, that gap is covered. Moreover, the proposed method on time scale is effective in the sense that it mitigates the integration steps which otherwise come while solving with ADM. Lastly, examples and solutions in Sections <span><span>3</span></span> and <span><span>4</span></span> that exactly match those found by ADM are used to validate the suggested approach.</div></div>","PeriodicalId":48648,"journal":{"name":"Ain Shams Engineering Journal","volume":"16 2","pages":"Article 103271"},"PeriodicalIF":6.0000,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ain Shams Engineering Journal","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2090447925000127","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
The aim of this work is to probe the Laplace Adomian decomposition method (LADM) for some certain linear and non-linear integro-differential equations on an arbitrary time scales. Although, several researchers have treated integro-differential equations (linear/nonlinear) utilizing different techniques, but most of them were based on classical calculus. In particular, [10] have catered the integro-differential equations on time scale using Adomian decomposition method (ADM). Whereas [28] have entertained the initial value problems with ADM on time scales. However, there exist no piece of work in literature that addressed integro-differential equations using LADM on time scales. Hence, in this work, that gap is covered. Moreover, the proposed method on time scale is effective in the sense that it mitigates the integration steps which otherwise come while solving with ADM. Lastly, examples and solutions in Sections 3 and 4 that exactly match those found by ADM are used to validate the suggested approach.
期刊介绍:
in Shams Engineering Journal is an international journal devoted to publication of peer reviewed original high-quality research papers and review papers in both traditional topics and those of emerging science and technology. Areas of both theoretical and fundamental interest as well as those concerning industrial applications, emerging instrumental techniques and those which have some practical application to an aspect of human endeavor, such as the preservation of the environment, health, waste disposal are welcome. The overall focus is on original and rigorous scientific research results which have generic significance.
Ain Shams Engineering Journal focuses upon aspects of mechanical engineering, electrical engineering, civil engineering, chemical engineering, petroleum engineering, environmental engineering, architectural and urban planning engineering. Papers in which knowledge from other disciplines is integrated with engineering are especially welcome like nanotechnology, material sciences, and computational methods as well as applied basic sciences: engineering mathematics, physics and chemistry.