December 2023 AN ACCURATE NUMERICAL ALGORITHM TO INVESTIGATE THE SOLUTION OF FRACTAL-FRACTIONAL PARTIAL DIFFERENTIAL EQUATIONS
Haniye Dehestani, Yadollah Ordokhani
Rocky Mountain J. Math. 53(6): 1767-1788 (December 2023). DOI: 10.1216/rmj.2023.53.1767

Abstract

We provide a novel discretization method with the help of the new operational matrices and fractal-fractional derivative operator for solving time fractal-fractional partial differential equations. To achieve our target, we consider the Bessel functions of the first kind to get the approximate solution with high precision. For the proposed problem, the basis functions together with their corresponding operational matrices are reduced to a system of algebraic equations. Besides, the error analysis of the method is thoroughly discussed. At last, to confirm the applicability and efficiency of the methodology, we implement several numerical tests. Furthermore, we discuss numerically HIV infection of the model of CD4+T cells.

Citation

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Haniye Dehestani. Yadollah Ordokhani. "AN ACCURATE NUMERICAL ALGORITHM TO INVESTIGATE THE SOLUTION OF FRACTAL-FRACTIONAL PARTIAL DIFFERENTIAL EQUATIONS." Rocky Mountain J. Math. 53 (6) 1767 - 1788, December 2023. https://doi.org/10.1216/rmj.2023.53.1767

Information

Received: 1 March 2022; Revised: 25 May 2022; Accepted: 2 November 2022; Published: December 2023
First available in Project Euclid: 21 December 2023

MathSciNet: MR4682741
zbMATH: 07784573
Digital Object Identifier: 10.1216/rmj.2023.53.1767

Subjects:
Primary: 26A33 , 41A10

Keywords: Bessel functions of the first kind , fractal-fractional differentiation , fractional partial differential equations , modified operational matrix

Rights: Copyright © 2023 Rocky Mountain Mathematics Consortium

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Vol.53 • No. 6 • December 2023
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