Abstract

In the present work, a numerical technique for solving a general form of nonlinear fractional order integro-differential equations (GNFIDEs) with linear functional arguments using Chebyshev series is presented. The recommended equation with its linear functional argument produces a general form of delay, proportional delay, and advanced non-linear arbitrary order Fredholm–Volterra integro-differential equations. Spectral collocation method is extended to study this problem as a matrix discretization scheme, where the fractional derivatives are characterized in the Caputo sense. The collocation method transforms the given equation and conditions to an algebraic nonlinear system of equations with unknown Chebyshev coefficients. Additionally, we present a general form of the operational matrix for derivatives. The introduced operational matrix of derivatives includes arbitrary order derivatives and the operational matrix of ordinary derivative as a special case. To the best of authors’ knowledge, there is no other work discussing this point. Numerical test examples are given, and the achieved results show that the recommended method is very effective and convenient.

Details

Title
Numerical solution for generalized nonlinear fractional integro-differential equations with linear functional arguments using Chebyshev series
Author
Ali, Khalid K 1 ; Abd El Salam Mohamed A 1 ; Mohamed Emad M H 1 ; Samet Bessem 2 ; Kumar, Sunil 3   VIAFID ORCID Logo  ; Osman, M S 4 

 Al Azhar University, Department of Mathematics, Faculty of Science, Cairo, Egypt (GRID:grid.411303.4) (ISNI:0000 0001 2155 6022) 
 King Saud University, Department of Mathematics, College of Science, Riyadh, Saudi Arabia (GRID:grid.56302.32) (ISNI:0000 0004 1773 5396) 
 National Institute of Technology, Department of Mathematics, Jamshedpur, India (GRID:grid.419487.7) (ISNI:0000 0000 9191 860X) 
 Cairo University, Department of Mathematics, Faculty of Science, Giza, Egypt (GRID:grid.7776.1) (ISNI:0000 0004 0639 9286) 
Publication year
2020
Publication date
Dec 2020
Publisher
Springer Nature B.V.
ISSN
1687-1839
e-ISSN
1687-1847
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2442687681
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.