A New First Finite Class of Classical Orthogonal Polynomials Operational Matrices: An Application for Solving Fractional Differential Equations

IF 0.6 Q3 MATHEMATICS Contemporary Mathematics Pub Date : 2023-11-10 DOI:10.37256/cm.4420232716
H. M. Ahmed
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引用次数: 0

Abstract

In this paper, new operational matrices (OMs) of ordinary and fractional derivatives (FDs) of a first finite class of classical orthogonal polynomials (FFCOP) are introduced. Also, two algorithms are proposed for using the tau and collocation spectral methods (SPMs) to get new approximate solutions to the given fractional differential equations (FDEs). These algorithms convert the given FDEs subject to initial/boundary conditions (I/BCs) into linear or nonlinear systems of algebraic equations that can be solved using appropriate solvers. To demonstrate the robustness, efficiency, and accuracy of the proposed spectral solutions, several illustrative examples are presented. The obtained results show that the proposed algorithms exhibit higher accuracy compared to existing techniques in the literature. Furthermore, an error analysis is provided.
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一类新的经典正交多项式运算矩阵:在解分数阶微分方程中的应用
本文介绍了一类有限经典正交多项式(FFCOP)的常阶导数和分数阶导数的新的运算矩阵(OMs)。此外,本文还提出了两种算法,分别利用tau谱法和搭配谱法(SPMs)求解给定分数阶微分方程的新近似解。这些算法将给定的受初始/边界条件(I/ bc)约束的fde转换为可以使用适当求解器求解的线性或非线性代数方程系统。为了证明所提出的光谱解的鲁棒性、效率和准确性,给出了几个说明性的例子。结果表明,与文献中已有的算法相比,本文提出的算法具有更高的精度。此外,还提供了误差分析。
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CiteScore
0.60
自引率
33.30%
发文量
0
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