Abd Ullah , Aman Ullah , Walid Emam , Zeeshan Ali , Dragan Pamucar , Subhan Ullah
{"title":"利用一种改进的变换方法,提出了PDE的整数阶和分数阶系统的解","authors":"Abd Ullah , Aman Ullah , Walid Emam , Zeeshan Ali , Dragan Pamucar , Subhan Ullah","doi":"10.1016/j.cnsns.2025.109088","DOIUrl":null,"url":null,"abstract":"<div><div>Systems of partial differential equations (PDEs) serve as fundamental tools for modeling and solving complex, multidimensional problems involving interdependent processes. This paper introduces an efficient technique for solving linear and nonlinear systems of PDEs of both integer and fractional orders. The proposed method, referred to as the Modified Yang Transform Method (MYT), combines the Adomian Decomposition Method with the Yang Transform. Owing to its simplicity and versatility, this approach holds significant potential for application across diverse scientific and engineering fields. A generalized solution procedure is outlined in a step-by-step manner for both integer- and fractional-order systems. Theoretical analysis is performed to ensure the method’s convergence and stability. To demonstrate the method’s effectiveness, several illustrative examples are solved. Visual validation is provided through 2D and 3D plots that depict the behavior of the solutions, while numerical error analysis is presented in tabular form. These results reveal that the approximate solutions exhibit strong agreement with the exact ones, with improved accuracy as the number of iterations increases. Detailed discussions of the findings are included to further support the reliability and applicability of the proposed method.</div></div>","PeriodicalId":50658,"journal":{"name":"Communications in Nonlinear Science and Numerical Simulation","volume":"151 ","pages":"Article 109088"},"PeriodicalIF":3.4000,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advancing solutions of integer and fractional order system of PDE’s using a modified transform method\",\"authors\":\"Abd Ullah , Aman Ullah , Walid Emam , Zeeshan Ali , Dragan Pamucar , Subhan Ullah\",\"doi\":\"10.1016/j.cnsns.2025.109088\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Systems of partial differential equations (PDEs) serve as fundamental tools for modeling and solving complex, multidimensional problems involving interdependent processes. This paper introduces an efficient technique for solving linear and nonlinear systems of PDEs of both integer and fractional orders. The proposed method, referred to as the Modified Yang Transform Method (MYT), combines the Adomian Decomposition Method with the Yang Transform. Owing to its simplicity and versatility, this approach holds significant potential for application across diverse scientific and engineering fields. A generalized solution procedure is outlined in a step-by-step manner for both integer- and fractional-order systems. Theoretical analysis is performed to ensure the method’s convergence and stability. To demonstrate the method’s effectiveness, several illustrative examples are solved. Visual validation is provided through 2D and 3D plots that depict the behavior of the solutions, while numerical error analysis is presented in tabular form. These results reveal that the approximate solutions exhibit strong agreement with the exact ones, with improved accuracy as the number of iterations increases. Detailed discussions of the findings are included to further support the reliability and applicability of the proposed method.</div></div>\",\"PeriodicalId\":50658,\"journal\":{\"name\":\"Communications in Nonlinear Science and Numerical Simulation\",\"volume\":\"151 \",\"pages\":\"Article 109088\"},\"PeriodicalIF\":3.4000,\"publicationDate\":\"2025-06-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Communications in Nonlinear Science and Numerical Simulation\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S100757042500499X\",\"RegionNum\":2,\"RegionCategory\":\"数学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATHEMATICS, APPLIED\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications in Nonlinear Science and Numerical Simulation","FirstCategoryId":"100","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S100757042500499X","RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATHEMATICS, APPLIED","Score":null,"Total":0}
Advancing solutions of integer and fractional order system of PDE’s using a modified transform method
Systems of partial differential equations (PDEs) serve as fundamental tools for modeling and solving complex, multidimensional problems involving interdependent processes. This paper introduces an efficient technique for solving linear and nonlinear systems of PDEs of both integer and fractional orders. The proposed method, referred to as the Modified Yang Transform Method (MYT), combines the Adomian Decomposition Method with the Yang Transform. Owing to its simplicity and versatility, this approach holds significant potential for application across diverse scientific and engineering fields. A generalized solution procedure is outlined in a step-by-step manner for both integer- and fractional-order systems. Theoretical analysis is performed to ensure the method’s convergence and stability. To demonstrate the method’s effectiveness, several illustrative examples are solved. Visual validation is provided through 2D and 3D plots that depict the behavior of the solutions, while numerical error analysis is presented in tabular form. These results reveal that the approximate solutions exhibit strong agreement with the exact ones, with improved accuracy as the number of iterations increases. Detailed discussions of the findings are included to further support the reliability and applicability of the proposed method.
期刊介绍:
The journal publishes original research findings on experimental observation, mathematical modeling, theoretical analysis and numerical simulation, for more accurate description, better prediction or novel application, of nonlinear phenomena in science and engineering. It offers a venue for researchers to make rapid exchange of ideas and techniques in nonlinear science and complexity.
The submission of manuscripts with cross-disciplinary approaches in nonlinear science and complexity is particularly encouraged.
Topics of interest:
Nonlinear differential or delay equations, Lie group analysis and asymptotic methods, Discontinuous systems, Fractals, Fractional calculus and dynamics, Nonlinear effects in quantum mechanics, Nonlinear stochastic processes, Experimental nonlinear science, Time-series and signal analysis, Computational methods and simulations in nonlinear science and engineering, Control of dynamical systems, Synchronization, Lyapunov analysis, High-dimensional chaos and turbulence, Chaos in Hamiltonian systems, Integrable systems and solitons, Collective behavior in many-body systems, Biological physics and networks, Nonlinear mechanical systems, Complex systems and complexity.
No length limitation for contributions is set, but only concisely written manuscripts are published. Brief papers are published on the basis of Rapid Communications. Discussions of previously published papers are welcome.