Solutions of the Fractional Differential Equations Including Caputo–Fabrizio, Caputo, and Integer Order Derivatives via SMV Polynomials

IF 1.7 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC International Journal of Numerical Modelling-Electronic Networks Devices and Fields Pub Date : 2025-03-05 DOI:10.1002/jnm.70033
H. Çerdik Yaslan
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Abstract

Fractional linear and nonlinear differential equations with the Caputo–Fabrizio, Caputo, and integer order derivatives are considered in this paper. An approximate solution of the problem is written as a truncated series of the shifted Morgan-Voyce (SMV) polynomials with unknown coefficients. Our goal is to compute the numerical values of the unknown coefficients. First, the Caputo–Fabrizio, Caputo, and integer order derivatives of the approximate solution expressed in terms of SMV polynomials are presented in the form of the matrix relations. The main advantage of these matrix relations is that they convert the differential equation, including three different types of derivatives, into a system of algebraic equations, which allows us to easily transfer the problem into computer programming. Furthermore, the convergence of the method is investigated in the Sobolev space. Finally, the application of the method is presented by using numerical examples. In the numerical examples, figures and tables are used to discuss the effect of different values of fractional order on the solution and to show the accuracy of the method by comparing it with existing numerical solutions.

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分数阶微分方程的解,包括通过SMV多项式的Caputo - fabrizio, Caputo和整数阶导数
研究了具有Caputo - fabrizio、Caputo和整数阶导数的分数阶线性和非线性微分方程。该问题的近似解被写成带有未知系数的移位morgan - voice (SMV)多项式的截断级数。我们的目标是计算未知系数的数值。首先,以矩阵关系的形式给出了用SMV多项式表示的近似解的Caputo - fabrizio、Caputo和整数阶导数。这些矩阵关系的主要优点是它们将微分方程(包括三种不同类型的导数)转换为代数方程系统,这使我们能够轻松地将问题转换为计算机编程。进一步研究了该方法在Sobolev空间中的收敛性。最后,通过数值算例说明了该方法的应用。在数值算例中,用图形和表格讨论了分数阶不同值对解的影响,并通过与现有数值解的比较,说明了该方法的准确性。
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来源期刊
CiteScore
4.60
自引率
6.20%
发文量
101
审稿时长
>12 weeks
期刊介绍: Prediction through modelling forms the basis of engineering design. The computational power at the fingertips of the professional engineer is increasing enormously and techniques for computer simulation are changing rapidly. Engineers need models which relate to their design area and which are adaptable to new design concepts. They also need efficient and friendly ways of presenting, viewing and transmitting the data associated with their models. The International Journal of Numerical Modelling: Electronic Networks, Devices and Fields provides a communication vehicle for numerical modelling methods and data preparation methods associated with electrical and electronic circuits and fields. It concentrates on numerical modelling rather than abstract numerical mathematics. Contributions on numerical modelling will cover the entire subject of electrical and electronic engineering. They will range from electrical distribution networks to integrated circuits on VLSI design, and from static electric and magnetic fields through microwaves to optical design. They will also include the use of electrical networks as a modelling medium.
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