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Research Article | Open Access

An efficacious improvement of the Anuj transformation method for solving higher-order fractional differential equations with constant coefficients

Adnan Ahmad Mahmud1,2, Hozan Hilmi3( ), Kalsum Abdulrahman Muhamad1
Harran University, Faculty of Arts and Sciences, Department of Mathematics, 63290, Şanlıurfa, Türkiye
Information Technology Department, Tishk International University, Kurdistan Region, Iraq
Department of Mathematics, College of Science, University of Sulaimani, Sulaimani 46001, Kurdistan Region, Iraq
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Abstract

In this study, we obtained the fractional formula of the Anuj transformation, which is utilized to acquire an accurate outcome for linear fractional differential equations (LFDEs). It is employed for Riemann-Liouville's and Caputo's fractional derivatives. To do this, we started with developing the Anuj transform of basic functions in mathematics and then examined its primary properties, which may be used in solving different mathematical models, especially fractional differential equations. We then proceeded to present the exact solution for a particular case of a fractional differential equation. We explored four numerical challenges and presented a thorough solution for each to illustrate how the studied transform may be useful. The findings revealed that the newly recommended transformation and the specific solutions that have been supplied are more effective and straightforward in solving mathematical models. The obtained formula has been utilized to solve different cases of fractional differential equations and reach a precise solution. The outcomes have been expressed using two-dimensional graphs.

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Mathematical Modelling and Control
Pages 140-150

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Cite this article:
Mahmud AA, Hilmi H, Muhamad KA. An efficacious improvement of the Anuj transformation method for solving higher-order fractional differential equations with constant coefficients. Mathematical Modelling and Control, 2026, 6(2): 140-150. https://doi.org/10.3934/mmc.2026011

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Received: 03 July 2024
Revised: 08 April 2025
Accepted: 11 July 2025
Published: 15 June 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)