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Research Article | Open Access

A third-order numerical method for solving fractional ordinary differential equations

Xiaopeng Yi1Chongyang Liu2,3( )Huey Tyng Cheong1Kok Lay Teo1Song Wang4
School of Mathematical Sciences, Sunway University, Kuala Lumpur 47500, Malaysia
School of Mathematics and Information Science, Shandong Technology and Business University, Yantai 264005, China
Yantai Key Laboratory of Big Data Modeling and Intelligent Computing, Yantai 264005, China
School of Electrical Engineering, Computing and Mathematical Sciences, Curtin University, Perth 6845, Australia
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Abstract

In this paper, we developed a novel numerical method for solving general nonlinear fractional ordinary differential equations (FODEs). First, we transformed the nonlinear FODEs into the equivalent Volterra integral equations. We then developed a time-stepping algorithm for the numerical solution of the Volterra integral equations based on the third-order Taylor expansion for approximating the integrands in the Volterra integral equations on a chosen mesh with the mesh parameter h. This approximation led to implicit nonlinear algebraic equations in the unknowns at each given mesh point, and an iterative algorithm based on Newton's method was developed to solve the resulting implicit equations. A convergence analysis of this numerical scheme showed that the error between the exact solution and numerical solution at each mesh point is O(h3), independent of the fractional order. Finally, four numerical examples were solved to verify the theoretical results and demonstrate the effectiveness of the proposed method.

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AIMS Mathematics
Pages 21125-21143

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Cite this article:
Yi X, Liu C, Cheong HT, et al. A third-order numerical method for solving fractional ordinary differential equations. AIMS Mathematics, 2024, 9(8): 21125-21143. https://doi.org/10.3934/math.20241026

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Received: 19 March 2024
Revised: 10 June 2024
Accepted: 14 June 2024
Published: 15 August 2024
©2024 the Author(s), licensee AIMS Press.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0)