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Analyzing invariants and employing successive reductions for the extended Kadomtsev Petviashvili equation in (3+1) dimensions.
Hussain, Akhtar; Zaman, F D; Owyed, Saud; Herrera, Jorge; Sallah, Mohammed.
Affiliation
  • Hussain A; Abdus Salam School of Mathematical Sciences, Government College University, Lahore, Pakistan.
  • Zaman FD; Abdus Salam School of Mathematical Sciences, Government College University, Lahore, Pakistan.
  • Owyed S; Mathematics Department, College of Science, University of Bisha, Bisha, Saudi Arabia.
  • Herrera J; Facultad de Ciencias Naturales e Ingenieria, Universidad de Bogota Jorge Tadeo Lozano, Bogota, Colombia.
  • Sallah M; Applied Mathematical Physics Research Group, Physics Department, Faculty of Science, Mansoura University, Mansoura, Egypt.
PLoS One ; 19(7): e0305177, 2024.
Article in En | MEDLINE | ID: mdl-38954677
ABSTRACT
In this research, we employ the potent technique of Lie group analysis to derive analytical solutions for the (3+1)-extended Kadomtsev-Petviashvili (3D-EKP) equation. The systematic application of this method enables the identification of Lie point symmetries associated with the equation, leading to the derivation of an optimal system of one-dimensional subalgebras relevant to the equation. This optimal system is utilized to obtain several invariant solutions. The Lie group method is subsequently applied to the reduced governing equations derived from the given equation. We complement our findings with Mathematica simulations illustrating some of the obtained solutions. Furthermore, a direct approach is used to investigate local conservation laws. Importantly, our study addresses a gap in the exploration of the 3D-EXP equation using group theoretic methods, making our findings novel in this context.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2024 Document type: Article Affiliation country: Pakistan

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms Language: En Journal: PLoS One Journal subject: CIENCIA / MEDICINA Year: 2024 Document type: Article Affiliation country: Pakistan