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Research Article | Open Access

A coupled numerical method for time-fractional convection-diffusion equations based on compressed Legendre polynomials

Hui Zhu1,2, Lei Yang1,3( ), Ruimin Zhang4,2, Yuntao Jia2
School of Computer Science and Engineering, Faculty of Innovation Engineering, Macau University of Science and Technology, Macau 999078, China
Beijing Institute of Technology, Zhuhai 519088, China
Innovation Technology Research Institute, Macau University of Science and Technology, Zhuhai, 519000, Guangdong, China
Guangzhou City University of Technology, Guangzhou, 510800
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Abstract

In this paper, we develop a novel coupled numerical method for time-fractional convection-diffusion equations. First, in the temporal dimension, a derivative-based linear interpolation is utilized to approximate the time partial derivative. Then, we construct a high-order approximate scheme for the temporal fractional derivative, which transforms the original partial differential equation into a semi-discrete ordinary differential system involving only spatial variables. In the spatial dimension, a standard orthogonal basis is constructed by using compressed Legendre polynomials. Combining the concept of ε-approximate solutions, we derive the numerical solution of the semi-discrete scheme. Convergence analysis and numerical experiments demonstrate that the proposed algorithm achieves second-order convergence in time, and the spatial convergence accuracy improves as the Legendre polynomial degree and compression level increase.

CLC number: 35R11, 65M12

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AIMS Mathematics
Pages 19488-19515

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Cite this article:
Zhu H, Yang L, Zhang R, et al. A coupled numerical method for time-fractional convection-diffusion equations based on compressed Legendre polynomials. AIMS Mathematics, 2026, 11(7): 19488-19515. https://doi.org/10.3934/math.2026792

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Received: 12 April 2026
Revised: 06 June 2026
Accepted: 17 June 2026
Published: 15 July 2026
©2026 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)