Analysis of Fractional-Order Regularized Long-Wave Models via a Novel Transform

Author:

Shah Nehad Ali1,El-Zahar Essam R.23,Akgül Ali4ORCID,Khan Adnan5,Kafle Jeevan6ORCID

Affiliation:

1. Department of Mechanical Engineering, Sejong University, Seoul 05006, Republic of Korea

2. Department of Mathematics, College of Science and Humanities in Al-Kharj, Prince Sattam Bin Abdulaziz University, P.O. Box 83, Al-Kharj 11942, Saudi Arabia

3. Department of Basic Engineering Science, Faculty of Engineering, Menoufia University, Shebin El-Kom 32511, Egypt

4. Department of Mathematics, Art and Science Faculty, Siirt University, Siirt 56100, Turkey

5. Department of Mathematics, Abdul Wali Khan University, Mardan 23200, Pakistan

6. Central Department of Mathematics, Tribhuvan University Kritipur, Kathmandu, Nepal

Abstract

A new integral transform method for regularized long-wave (RLW) models having fractional-order is presented in this study. Although analytical approaches are challenging to apply to such models, semianalytical or numerical techniques have received much attention in the literature. We propose a new technique combining integral transformation, the Elzaki transform (ET), and apply it to regularized long-wave equations in this study. The RLW equations describe ion-acoustic waves in plasma and shallow water waves in seas. The results obtained are extremely important and necessary for describing various physical phenomena. This work considers an up-to-date approach and fractional operators in this context to obtain satisfactory approximate solutions to the proposed problems. We first define the Elzaki transforms of the Caputo fractional derivative (CFD) and Atangana-Baleanu fractional derivative (ABFD) and implement them for solving RLW equations. We can readily obtain numerical results that provide us with improved approximations after only a few iterations. The derived solutions were found to be in close contact with the exact solutions. Furthermore, the suggested procedure has attained the best level of accuracy. In fact, when compared to other analytical techniques for solving nonlinear fractional partial differential equations, the present method might be considered one of the finest.

Publisher

Hindawi Limited

Subject

Analysis

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