A new approach to the generalized Touchard wavelet approximation of fractional integro-differential equations with weakly singular kernels: Moduli of continuity and convergence
{"title":"A new approach to the generalized Touchard wavelet approximation of fractional integro-differential equations with weakly singular kernels: Moduli of continuity and convergence","authors":"Shyam Lal, Upasana Vats","doi":"10.1016/j.jmaa.2025.129259","DOIUrl":null,"url":null,"abstract":"<div><div>In this work, we introduce the generalized Touchard wavelet to solve fractional integro-differential equations with weakly singular kernels. These equations are effective in modeling various physical phenomena. In this approach, the unknown function is approximated by a truncated series of generalized Touchard wavelets. This method focuses primarily on reducing such problems to solving systems of algebraic equations. We conduct an inquiry into the convergence and error analysis of the solution functions. Moreover, we obtain estimates of the moduli of continuity of functions belonging to Hölder's class. In addition, to demonstrate the immutability and precision of the proposed method, numerical results are presented in graphical and tabular form. We perform a comparative analysis of the generalized Touchard wavelet solution against those obtained using different wavelets. The numerical findings reveal that the solutions are sufficiently accurate, even when the number of collocation points is small. The error results are consistent with the convergence analysis of the method.</div></div>","PeriodicalId":50147,"journal":{"name":"Journal of Mathematical Analysis and Applications","volume":"546 2","pages":"Article 129259"},"PeriodicalIF":1.2000,"publicationDate":"2025-01-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Mathematical Analysis and Applications","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0022247X2500040X","RegionNum":3,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS","Score":null,"Total":0}
引用次数: 0
Abstract
In this work, we introduce the generalized Touchard wavelet to solve fractional integro-differential equations with weakly singular kernels. These equations are effective in modeling various physical phenomena. In this approach, the unknown function is approximated by a truncated series of generalized Touchard wavelets. This method focuses primarily on reducing such problems to solving systems of algebraic equations. We conduct an inquiry into the convergence and error analysis of the solution functions. Moreover, we obtain estimates of the moduli of continuity of functions belonging to Hölder's class. In addition, to demonstrate the immutability and precision of the proposed method, numerical results are presented in graphical and tabular form. We perform a comparative analysis of the generalized Touchard wavelet solution against those obtained using different wavelets. The numerical findings reveal that the solutions are sufficiently accurate, even when the number of collocation points is small. The error results are consistent with the convergence analysis of the method.
期刊介绍:
The Journal of Mathematical Analysis and Applications presents papers that treat mathematical analysis and its numerous applications. The journal emphasizes articles devoted to the mathematical treatment of questions arising in physics, chemistry, biology, and engineering, particularly those that stress analytical aspects and novel problems and their solutions.
Papers are sought which employ one or more of the following areas of classical analysis:
• Analytic number theory
• Functional analysis and operator theory
• Real and harmonic analysis
• Complex analysis
• Numerical analysis
• Applied mathematics
• Partial differential equations
• Dynamical systems
• Control and Optimization
• Probability
• Mathematical biology
• Combinatorics
• Mathematical physics.