Work place: Department of Mathematics, Faculty of Physical Sciences, University of Ilorin, Kwara, Nigeria
E-mail: adepojujulius58@gmail.com
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Biography
Julius Temitayo Adepoju earned his B.Sc. degree from Olabisi Onabanjo University and is currently pursuing an M.Sc. degree at the University of Ilorin. His research focuses on Numerical Analysis and Mathematical Modelling, with applications in Machine Learning and advanced computational techniques.
By Kareem A. Bello Julius T. Adepoju
DOI: https://doi.org/10.5815/ijmsc.2026.02.01, Pub. Date: 8 Jun. 2026
The present research aims to introduce a brand new theoretical framework for solving multi-dimensional fractional partial differential equations (FPDEs) by developing a novel integral transform tool called the Double Mohand-Generalized ARA Transform (DM-GART). The DM-GART is a triple-integral operator that applies the Mohand transform twice—once in each spatial variable x and y and the ARA transform once in the temporal variable t; the adjective “Double” refers specifically to the double spatial application of the Mohand transform. The theoretical properties and existence/uniqueness results of this newly developed integral transform are rigorously established in a Banach fixed-point theorem setting. The newly developed integral transform tool is then synergistically combined with the Adomian Decomposition Method (ADM) to produce a novel technique called the Coupled Double Mohand-Generalized ARA Decomposition Method (CDM-GADM). The CDM-GADM is applied for solving generalised fractional biological population equations. The technique is assessed by comparing exact solutions with N-term series solutions for N = 4, 6, and 8. From the results obtained in Tables 3–10, it can be noted that with an increase in the terms from N = 4 to N = 8, the absolute errors decrease several orders of magnitude; the absolute errors for N = 8 are as low as 10⁻¹⁰ for α = 1.0 at smaller values of time. The results are obtained in the form of convergent series characterized by the Mittag-Leffler function, validating the efficiency of the proposed method. A tolerance of ε = 10⁻⁶ is used as the practical stopping criterion.
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