Orthogonal polynomials

Physics

Chebyshev pseudospectral method

Chebyshev polynomials

Mathematical analysis

Chebyshev equation

Nonlinear system

Chebyshev nodes

Chebyshev iteration

Chebyshev filter

Classical orthogonal polynomials

Spectral method

Algebraic equation

Applied mathematics

Mathematics

Quantum mechanics

International Journal of Nonlinear Sciences and Numerical Simulation

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.

Sixth-Kind Chebyshev Spectral Approach for Solving Fractional Differential Equations