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Research Article | Open Access

An operational treatment for two-dimensional time-fractional Gray-Scott models

Samer S. Ezz-Eldien1,2( )Ali H. Tedjani3Amra Al Kenany4Marwa Alzubaidi5
Department of Mathematics, Faculty of Science, New Valley University, El-Kharga, 72511, Egypt
Department of İnformation Technology, Faculty of Computer and İnformation, Archipelago University, Socotra, Yemen
Department of Mathematics and Statistics, College of Science, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia
Mathematics Department, Al-Qunfudah University College, Umm Al-Qura University, Mecca, KSA
Department of Mathematics, Faculty of Science, University of Tabuk, Tabuk 71491, Saudi Arabia
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Abstract

Due to the poor regularity of solutions to time-fractional partial differential equations, traditional spectral approaches typically suffer from significant accuracy reductions when applied in the time domain. To overcome this problem, in this paper, we applied a spectral approach based on a new set of basis functions, which are smooth in the spatial direction and non-smooth in the time direction. The spectral collocation approach was used combined with the operational matrix approach based on the new set of basis functions to solve two-dimensional time-fractional Gray-Scott models. Applying the operational technique reduces the computations of the full scheme and achieves significant accuracy by using a small number of these functions. Numerical results confirmed the high accuracy of the proposed approach when applied for smooth and non-smooth solutions.

CLC number: 65L05, 65R20, 65N35, 65L03

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AIMS Mathematics
Pages 5246-5269

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Cite this article:
Ezz-Eldien SS, Tedjani AH, Al Kenany A, et al. An operational treatment for two-dimensional time-fractional Gray-Scott models. AIMS Mathematics, 2026, 11(2): 5246-5269. https://doi.org/10.3934/math.2026215

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Received: 08 October 2025
Revised: 16 January 2026
Accepted: 20 January 2026
Published: 28 February 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)