Analytical treatments of time-fractional seventh-order nonlinear equations via Elzaki transform

Journal Article (2024)
Author(s)

Liaqat Ali (Southern University of Science and Technology , Zhejiang University)

Gongzhen Zou (Southern University of Science and Technology )

Na Li (Southern University of Science and Technology )

Kashif Mehmood (Zhejiang University)

Pan Fang (TU Delft - Transport Engineering and Logistics)

A Khan (Abdul Wali Khan University Mardan)

Research Group
Transport Engineering and Logistics
Copyright
© 2024 Liaqat Ali, Guang Zou, Na Li, Kashif Mehmood, P. Fang, Adnan Khan
DOI related publication
https://doi.org/10.1007/s10665-023-10326-y
More Info
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Publication Year
2024
Language
English
Copyright
© 2024 Liaqat Ali, Guang Zou, Na Li, Kashif Mehmood, P. Fang, Adnan Khan
Research Group
Transport Engineering and Logistics
Issue number
1
Volume number
145
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Abstract

In this article, we’ll show how to solve the time-fractional seventh-order Lax’s Korteweg–de Vries and Kaup–Kupershmidt equations analytically using the homotopy perturbation approach, the Adomian decomposition method, and the Elzaki transformation. The KdV equation is a general integrable equation with an inverse scattering transform-based solution that arises in a variety of physical applications, including surface water waves, internal waves in a density stratified fluid, plasma waves, Rossby waves, and magma flow. Fractional derivative is described in the Caputo sense. The solutions to fractional partial differential equation is computed using convergent series. The numerical computations and graphical representations of the analytical results obtained using the homotopy perturbation and decomposition techniques. Moreover, plots that are simple to grasp are used to compare the integer order and fractional-order solutions. After only a few iterations, we may easily obtain numerical results that provide us better approximations. The exact solutions and the derived solutions were observed to be very similar. The suggested methods have also acquired the highest level of accuracy. The most prevalent and convergent techniques for resolving nonlinear fractional-order partial differential issues are the applied techniques.

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