JOURNAL ARTICLE

Diverse wave solutions to the new extended (2+1)-dimensional nonlinear evolution equation: Phase portrait, bifurcation and sensitivity analysis, chaotic pattern, variational principle, and Hamiltonian.

  • Published In: International Journal of Geometric Methods in Modern Physics, 2026, v. 23, n. 2. P. 1 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Liang, Yan-Hong; WANG, KANG-JIA 3 of 3

Abstract

The purpose of this work is to give a deeper exploration into the nonlinear dynamics of the new extended (2 + 1) -dimensional nonlinear evolution equation (NEE) for oceanic wave. Wielding the semi-inverse method (SIM) and traveling wave transformation, we establish the variational principle (VP). On basis of the VP, the corresponding system's Hamiltonian is extracted. Aided by the Galilean transformation, the planar dynamical system is obtained. Then the phase portraits are plotted and the bifurcation analysis is presented to discuss the existing conditions of the wave solutions. In addition, the chaotic behaviors and sensitivity analysis of the system are also elaborated via adding the perturbed term and taking the different initial conditions, respectively. In the end, two robust methods, the variational method that stemmed from the VP and Ritz method, as well as the Hamiltonian-based method are used to develop the diverse wave solutions, which include the bell-shaped solitary, anti-bell-shaped solitary and periodic wave solutions. The findings of this study are all novel and can enable us to gain a deeper understanding of the nonlinear dynamics of the equation being studied. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:International Journal of Geometric Methods in Modern Physics. 2026/02, Vol. 23, Issue 2, p1
  • Document Type:Article
  • Subject Area:Science
  • Publication Date:2026
  • ISSN:0219-8878
  • DOI:10.1142/S0219887825501580
  • Accession Number:190513301
  • Copyright Statement:Copyright of International Journal of Geometric Methods in Modern Physics is the property of World Scientific Publishing Company and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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