Exact Solutions and Conservation Laws of a Generalized (1 + 1) Dimensional System of Equations via Symbolic Computation
Sivenathi Oscar Mbusi,
Ben Muatjetjeja and
Abdullahi Rashid Adem
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Sivenathi Oscar Mbusi: Department of Mathematical Sciences, North-West University, Private Bag X 2046, Mmabatho 2735, South Africa
Ben Muatjetjeja: Department of Mathematical Sciences, North-West University, Private Bag X 2046, Mmabatho 2735, South Africa
Abdullahi Rashid Adem: Department of Mathematical Sciences, University of South Africa, UNISA, Pretoria 0003, South Africa
Mathematics, 2021, vol. 9, issue 22, 1-10
Abstract:
The aim of this paper is to compute the exact solutions and conservation of a generalized (1 + 1) dimensional system. This can be achieved by employing symbolic manipulation software such as Maple, Mathematica, or MATLAB. In theoretical physics and in many scientific applications, the mentioned system naturally arises. Time, space, and scaling transformation symmetries lead to novel similarity reductions and new exact solutions. The solutions obtained include solitary waves and cnoidal and snoidal waves. The familiarity of closed-form solutions of nonlinear ordinary and partial differential equations enables numerical solvers and supports stability analysis. Although many efforts have been dedicated to solving nonlinear evolution equations, there is no unified method. To the best of our knowledge, this is the first time that Lie point symmetry analysis in conjunction with an ansatz method has been applied on this underlying equation. It should also be noted that the methods applied in this paper give a unique solution set that differs from the newly reported solutions. In addition, we derive the conservation laws of the underlying system. It is also worth mentioning that this is the first time that the conservation laws for the equation under study are derived.
Keywords: auxiliary equations; associated solutions; Lie symmetry analysis; conservation laws (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2021
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