Q-homotopy analysis transform technique for two-dimensional fractional diffusion equation

Abstract In this paper, we find the solution for two-dimensional fractional diffusion equation using an efficient scheme namely, q-homotopy analysis transform method (q-HATM). To validate the competence and applicability of the proposed scheme, we consider two examples. The proposed algorithm is the joint application of the homotopy analysis method and Laplace transform (LT). For the obtained series solution, the proposed method offers ¯ h -curves that illustrate convergence region. The numerical behaviour is presented to ensure the reliability and accuracy of the proposed method. Further, the nature of the achieved results is presented for a diverse order of the fractional derivative. The achieved results show that, the considered method is easy to implement and very effective to study the behaviour of nonlinear models.

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Publication Details

Journal
Journal of Applied Mathematics Statistics and Informatics
Published
2025-12-01
DOI
https://doi.org/10.2478/jamsi-2025-0006
Primary Topic
Fractional Differential Equations Solutions
Type
article
Field-Weighted Citation Impact
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article

Q-homotopy analysis transform technique for two-dimensional fractional diffusion equation

D. U. Sarwe, S. Dahraj, G. Y. Mallah, M. A. Jatoi
Journal of Applied Mathematics Statistics and Informatics
Fractional Differential Equations Solutions
article

Q-homotopy analysis transform technique for two-dimensional fractional diffusion equation

D. U. Sarwe, S. Dahraj, G. Y. Mallah, M. A. Jatoi
article en

Abstract

Abstract In this paper, we find the solution for two-dimensional fractional diffusion equation using an efficient scheme namely, q-homotopy analysis transform method (q-HATM). To validate the competence and applicability of the proposed scheme, we consider two examples. The proposed algorithm is the joint application of the homotopy analysis method and Laplace transform (LT). For the obtained series solution, the proposed method offers ¯ h -curves that illustrate convergence region. The numerical behaviour is presented to ensure the reliability and accuracy of the proposed method. Further, the nature of the achieved results is presented for a diverse order of the fractional derivative. The achieved results show that, the considered method is easy to implement and very effective to study the behaviour of nonlinear models.

Journal of Applied Mathematics Statistics and InformaticsVol. 21(2)
University of Mumbai (IN), Quaid-e-Awam University of Engineering, Science and Technology (PK)
Openalex Percentile: Top 33%
Fractional Differential Equations Solutions
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