Exact solitary wave solutions of time fractional nonlinear evolution models: a hybrid analytic approach

Authors

  • M.M. Bhatti North-West University (Mafikeng Campus), South Africa
  • R. Ellahi International Islamic University, Pakistan
  • S.M. Sait King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia
  • R. Ullah International Islamic University, Pakistan

DOI:

https://doi.org/10.31926/but.mif.2024.4.66.2.5

Keywords:

general expa-function method, exp-function method, Improved exp-function method, modified Riemann-Liouville derivative, fractional complex transformation, time fractional nonlinear evolution equations

Abstract

In this article, we propose efficient techniques for solving fractional differential equations such as KdV-Burgers, Kadomtsev-Petviashvili, Zakharov- Kuznetsov with less computational efforts and high accuracy for both numerical and analytical purposes. The general expa-function method is employed to reckon with new exact solitary wave solutions of time-fractional nonlinear evolution equations (NLEEs) stemming from mathematical physics. Fractional complex transformation in conjunction with a modified Riemann-Liouville operator is used to tackle the fractional sense of the accompanying problems. A comparison between the existing conventional exp-function method and the improved exp-function method shows that the proposed recipe is more productive in terms of obtaining analytical solutions. The graphical depictions of extracted information show a strong relationship between fractional-order outcomes with those of classical ones.

Author Biographies

M.M. Bhatti, North-West University (Mafikeng Campus), South Africa

Material Science Innovation and Modelling (MaSIM) Research Focus Area, Private Bag X2046, Mmabatho 2735

R. Ellahi, International Islamic University, Pakistan

Department of Mathematics & Statistics, Faculty of Sciences, Islamabad 44000; 
King Fahd University of Petroleum & Minerals, Saudi Arabia
Center for Modeling & Computer Simulation, Research Institute, Dhahran-31261

S.M. Sait, King Fahd University of Petroleum & Minerals, Dhahran, Saudi Arabia

Department of Computer Engineering, Interdisciplinary Research Center for Smart Mobility and Logistics

R. Ullah, International Islamic University, Pakistan

Department of Mathematics & Statistics, Faculty of Sciences, Islamabad 44000, Pakistan

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Published

2024-09-03

Issue

Section

MATHEMATICS