Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Application of the Generalized Double Reduction Method to the (1+1)-Dimensional Kaup-Boussinesq (K-B) System: Exploiting Lie Symmetries and Conservation Laws

Version 1 : Received: 12 September 2024 / Approved: 12 September 2024 / Online: 12 September 2024 (13:03:41 CEST)

How to cite: Kakuli, M. C. Application of the Generalized Double Reduction Method to the (1+1)-Dimensional Kaup-Boussinesq (K-B) System: Exploiting Lie Symmetries and Conservation Laws. Preprints 2024, 2024090989. https://doi.org/10.20944/preprints202409.0989.v1 Kakuli, M. C. Application of the Generalized Double Reduction Method to the (1+1)-Dimensional Kaup-Boussinesq (K-B) System: Exploiting Lie Symmetries and Conservation Laws. Preprints 2024, 2024090989. https://doi.org/10.20944/preprints202409.0989.v1

Abstract

This paper explores the application of the generalized double reduction method to the (1+1)-dimensional Kaup-Boussinesq (K-B) system, which models nonlinear wave propagation. Double reduction method is a structured and systematic approach in the analysis of partial differential equations (PDEs). We first identify the Lie point symmetries of the K-B system and construct four non-trivial conservation laws using the multiplier method. The association between the Lie point symmetries and the conservation laws is established, and the generalized double reduction method is then applied to transform the B-K system into second-order differential equations or algebraic equations. The reduction process allowed us to derive two exact solutions for the K-B system, illustrating the method’s effectiveness in handling nonlinear systems. This work highlights the effectiveness of the generalized double reduction method in simplifying and solving nonlinear nonlinear systems of PDEs, contributing to a deeper understanding of the systems.

Keywords

Generalized double reduction method; conservation laws; Kaup-Boussinesq system; Lie symmetry analysis, exact solutions

Subject

Computer Science and Mathematics, Computational Mathematics

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