IDEAS home Printed from https://ideas.repec.org/a/eee/apmaco/v437y2023ics0096300322006166.html
   My bibliography  Save this article

Degenerate fundamental nonlinear waves on the nonzero-zero background for a coupled Hirota system in a birefringent fiber

Author

Listed:
  • Tian, He-Yuan
  • Tian, Bo
  • Chen, Su-Su
  • Yang, Dan-Yu

Abstract

In this paper, we investigate a coupled Hirota system which models the wave propagation of two ultrashort optical fields in a birefringent fiber. Iterating the existing Darboux transformation at the same spectral parameter once and twice, we respectively construct the solutions to describe the so-called fundamental nonlinear waves (FNWs) and the degenerate FNWs. A two-branch condition is found to divide the FNWs into three-branch case and two-branch case. For the three-branch case, FNW is the nonlinear superposition of a breather and two dark-bright solitons, while for the two-branch case, FNW is the nonlinear superposition of a breather (not the Kuznetsov-Ma breather) and a dark-bright soliton. Compared with the degenerate nonlinear waves reported before, the degenerate three-branch FNW is found to obey the similar rule but the degenerate two-branch FNW not. Indeed, degenerate two-branch FNW is the nonlinear superposition of a breather, a dark-bright soliton and a two-branch FNW, and the trajectories of such three branches possess the same linear part but are not symmetric with respect to the common linear part. Thus, our study may offer a different point to explain certain phenomena observed in the optical experiments. Besides, we infer that our study can be generalized to the certain coupled systems which admit the similar nonlinear waves with the FNWs.

Suggested Citation

  • Tian, He-Yuan & Tian, Bo & Chen, Su-Su & Yang, Dan-Yu, 2023. "Degenerate fundamental nonlinear waves on the nonzero-zero background for a coupled Hirota system in a birefringent fiber," Applied Mathematics and Computation, Elsevier, vol. 437(C).
  • Handle: RePEc:eee:apmaco:v:437:y:2023:i:c:s0096300322006166
    DOI: 10.1016/j.amc.2022.127542
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0096300322006166
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.amc.2022.127542?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:apmaco:v:437:y:2023:i:c:s0096300322006166. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/applied-mathematics-and-computation .

    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.