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Solving linear systems of fractional integro-differential equations by Haar and Legendre wavelets techniques

Authors :
Seham Sh. Tantawy
Source :
Partial Differential Equations in Applied Mathematics, Vol 10, Iss , Pp 100683- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

In this study, we present two highly effective approaches aimed at solving linear systems of equations, specifically focusing on the Fredholm and Volterra equations in fractional integro-differential formula. To tackle these challenging problems, we employ two distinct methodologies: the Haar wavelet technique (HWT) and the Legendre wavelet Technique (LWT). To accurately describe fractional derivatives with the equations, we adopt the Caputo sense, which provides a robust framework for handling fractional calculus. By applying HWT and LWT, we are able to transform the intricate equations of the fractional integro-differential system into algebraic equations. Fredholm and Volterra fractional integro-differential equations serve as benchmarks for evaluating the accuracy and efficiency of LWT and HWT. By comparing the approximate solutions obtained through these wavelet methods with the exact solutions, we are able to provide a comprehensive assessment of their performance. Through detailed numerical computations conducted using Mathematical 8,which demonstrate the effectiveness of both LWT and HWT in solving systems of Fredholm and Volterra equations in fractional integro-differential equations. The results obtained from these computations are presented through graphs, allowing for a clear and comparison between the approximate and exact solutions. The successful utilization of these wavelet methods provides researchers and practitioners with valuable tools for tackling complex mathematical problems in various fields of study. This study contributes to the progress of numerical techniques for solving of fractional integro-differential equations which aid in the development of more accurate and efficient computational approaches for analyzing and solving similar mathematical problems in the future.

Details

Language :
English
ISSN :
26668181
Volume :
10
Issue :
100683-
Database :
Directory of Open Access Journals
Journal :
Partial Differential Equations in Applied Mathematics
Publication Type :
Academic Journal
Accession number :
edsdoj.bd2d942ee41149deaa5bcde7a560761f
Document Type :
article
Full Text :
https://doi.org/10.1016/j.padiff.2024.100683