Fall 2022 A numerical algorithm for a class of nonlinear fractional Volterra integral equations via modified hat functions
Jafar Biazar, Hamed Ebrahimi
J. Integral Equations Applications 34(3): 295-316 (Fall 2022). DOI: 10.1216/jie.2022.34.295

Abstract

A numerical algorithm via a modified hat functions (MHFs) has been proposed to solve a class of nonlinear fractional Volterra integral equations of the second kind. A fractional-order operational matrix of integration is introduced. In a new methodology, the operational matrices of MHFs and the powers of weakly singular kernels of integral equations are used as a structure for transforming the main problem into a number of systems consisting of two equations for two unknowns. Relative errors for the approximated solutions are investigated. Convergence analysis of the proposed method is evaluated and convergence rate is addressed. Finally, the extraordinary accuracy of the utilized approach is illustrated by a few examples. The results, absolute and relative errors are illustrated in some tables and diagrams. In addition, a comparison is made between the absolute errors obtained by the proposed method and two other methods; one uses a hybrid approach and the other applies second Chebyshev wavelet.

Citation

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Jafar Biazar. Hamed Ebrahimi. "A numerical algorithm for a class of nonlinear fractional Volterra integral equations via modified hat functions." J. Integral Equations Applications 34 (3) 295 - 316, Fall 2022. https://doi.org/10.1216/jie.2022.34.295

Information

Received: 19 November 2021; Revised: 9 March 2022; Accepted: 30 March 2022; Published: Fall 2022
First available in Project Euclid: 2 December 2022

MathSciNet: MR4516951
zbMATH: 1511.65059
Digital Object Identifier: 10.1216/jie.2022.34.295

Subjects:
Primary: 26A33 , 33Exx , 44Axx , 65D15

Keywords: fractional Volterra integral equations , fractional-order operational matrix , modification of hat functions

Rights: Copyright © 2022 Rocky Mountain Mathematics Consortium

Vol.34 • No. 3 • Fall 2022
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