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

IF 3.4 2区 数学 Q1 MATHEMATICS, APPLIED
Abd Ullah , Aman Ullah , Walid Emam , Zeeshan Ali , Dragan Pamucar , Subhan Ullah
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引用次数: 0

摘要

偏微分方程系统(PDEs)是建模和解决涉及相互依存过程的复杂多维问题的基本工具。本文介绍了一种求解整数阶和分数阶偏微分方程线性和非线性系统的有效方法。该方法将Adomian分解法与杨变换相结合,称为修正杨变换法(MYT)。由于其简单性和通用性,这种方法在不同的科学和工程领域具有巨大的应用潜力。对于整数阶和分数阶系统,给出了一个一般化的求解过程。为保证该方法的收敛性和稳定性,进行了理论分析。为了验证该方法的有效性,文中还算出了几个实例。通过描述解的行为的2D和3D图提供视觉验证,而数值误差分析以表格形式呈现。这些结果表明,近似解与精确解具有很强的一致性,并且随着迭代次数的增加精度也有所提高。对研究结果进行了详细的讨论,以进一步支持所提出方法的可靠性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
Communications in Nonlinear Science and Numerical Simulation
Communications in Nonlinear Science and Numerical Simulation MATHEMATICS, APPLIED-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
6.80
自引率
7.70%
发文量
378
审稿时长
78 days
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.
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