IDEAS home Printed from https://ideas.repec.org/a/hin/jnlamp/5677040.html
   My bibliography  Save this article

Analytical Treatments for a Coupled (2+1)-Dimensional Partial Differential Equations in Nonlinear Physics

Author

Listed:
  • Wubshet Ibrahim
  • Teresa Negesa
  • Manuel De León

Abstract

The two-dimensional (2D) nonlinear coupled sine-Gordon equations play a significant role in nonlinear physics, describing phenomena in areas such as solid-state physics, fluid dynamics, and nonlinear optics. Fundamentally, the sine-Gordon equation is a nonlinear partial differential equation (PDE) commonly used to model wave propagation, soliton dynamics, and particle interactions across various physical systems. This article focuses on the analytical solution of the 2D nonlinear coupled sine-Gordon equations in nonlinear wave contexts, considering specific boundary and initial conditions. The solution approach combines the triple Sumudu transform (TST) with an iterative method, detailing the analytical techniques and discussing their convergence properties. The exact solution, presented as a convergent series, is visually depicted through graphs. To address the nonlinear part of the equations, a successive iterative method was applied. The efficiency of the proposed method is illustrated through two test problems, with examples from engineering applications demonstrating its applicability. In conclusion, this method proves to be highly effective, efficient, and promising for finding exact solutions. Overall, the 2D nonlinear coupled sine-Gordon equations capture the intricate dynamics of nonlinear wave propagation, soliton interactions, and energy conservation in systems with multiple interacting components, making them a powerful tool for modeling a broad range of physical systems.

Suggested Citation

  • Wubshet Ibrahim & Teresa Negesa & Manuel De León, 2024. "Analytical Treatments for a Coupled (2+1)-Dimensional Partial Differential Equations in Nonlinear Physics," Advances in Mathematical Physics, Hindawi, vol. 2024, pages 1-16, November.
  • Handle: RePEc:hin:jnlamp:5677040
    DOI: 10.1155/admp/5677040
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/amp/2024/5677040.pdf
    Download Restriction: no

    File URL: http://downloads.hindawi.com/journals/amp/2024/5677040.xml
    Download Restriction: no

    File URL: https://libkey.io/10.1155/admp/5677040?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlamp:5677040. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.