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Stable evaluations of fractional derivative of the Muntz-Legendre polynomials and application to fractional differential equations

机译:Muntz-Legendre多项式的分数衍生的评价稳定评价,以及分数微分方程的应用

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摘要

The aim of this paper is to present efficient and stable methods to compute Caputo fractional derivative (CFD) of the Muntz-Legendre polynomials based on three-term recurrence relations and Gauss-Jacobi quadrature rules. This approach with collocation method at Chebyshev-Gauss-Lobatto points has been applied for solving linear and nonlinear fractional multi-order differential equations (FDEs) described in Caputo sense. The main characteristic of spectral collocation method is that the problems reduce to linear or nonlinear systems of algebraic equations. In this work, for the first time, we present the new rates of convergence for projection error which are more accurate than the rate presented by Shen and Wang in Shen and Wang (2016). Moreover, we present convergence rate for spectral collocation method for linear FDEs with initial value on a finite interval and endpoint singularities. Also, we propose an error analysis for Jacobi-Gauss type quadrature and present a way to accelerate the convergence rate for singular integrands applied in this paper. Finally, the stability and applicability of the numerical approach and convergence analysis is demonstrated by some numerical examples. (C) 2018 Elsevier B.V. All rights reserved.
机译:本文的目的是基于三术高复发关系和高斯 - 雅各二进制规则来提高高效稳定的方法来计算Muntz-Legendre多项式的Caputo分数衍生物(CFD)。 Chebyshev-Gauss-Lobatto点的固定方法的这种方法已经应用于求解Caputo意义上描述的线性和非线性分数多阶微分方程(FDE)。光谱搭配方法的主要特征是,问题减少到代数方程的线性或非线性系统。在这项工作中,我们首次提出了对投影错误的新汇聚率,这些预测误差比沉和王(2016年)所示的速度更准确。此外,我们对有限间隔和终点奇点的初始值提供了用于线性FDE的光谱搭配方法的收敛速率。此外,我们向Jacobi-Gause型正交提出了误差分析,并提出了一种加速本文应用奇异整体的收敛速率的方法。最后,一些数值例子证明了数值方法和收敛分析的稳定性和适用性。 (c)2018年elestvier b.v.保留所有权利。

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