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Sixth-Kind Chebyshev Spectral Approach for Solving Fractional Differential Equations

机译:求解分数微分方程的六种Chebyshev光谱方法

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The basic aim of this paper is to develop new numerical algorithms for solving some linear and nonlinear fractional-order differential equations. We have developed a new type of Chebyshev polynomials, namely, Chebyshev polynomials of sixth kind. This type of polynomials is a special class of symmetric orthogonal polynomials, involving four parameters that were constructed with the aid of the extended Sturm-Liouville theorem for symmetric functions. The proposed algorithms are basically built on reducing the fractional-order differential equations with their initial/boundary conditions to systems of algebraic equations which can be efficiently solved. The new proposed algorithms are supported by a detailed study of the convergence and error analysis of the sixth-kind Chebyshev expansion. New connection formulae between Chebyshev polynomials of the second and sixth kinds were established for this study. Some examples were displayed to illustrate the efficiency of the proposed algorithms compared to other methods in literature. The proposed algorithms have provided accurate results, even using few terms of the proposed expansion.
机译:本文的基本目的是开发新的数值算法,用于求解一些线性和非线性分数级微分方程。我们已经开发出一种新型的Chebyshev多项式,即第六种的Chebyshev多项式。这种类型的多项式是一种特殊类别的对称正交多项式,涉及借助于借助于对称功能的延伸的斯图里尔定理构建的四个参数。所提出的算法基本上建立在将分数级微分方程及其初始/边界条件减少到可以有效解决的代数方程的系统。新的算法得到了第六类Chebyshev扩展的收敛性和误差分析的详细研究。为这项研究建立了第二和第六类的Chebyshev多项式之间的新连接公式。显示一些示例以说明与文献中的其他方法相比,所提出的算法的效率。所提出的算法已经提供了准确的结果,即使使用少数拟议的扩张。

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