IDEAS home Printed from https://ideas.repec.org/a/eee/chsofr/v155y2022ics0960077921011061.html
   My bibliography  Save this article

Turing instability of periodic solutions for the Gierer–Meinhardt model with cross-diffusion

Author

Listed:
  • Liu, Haicheng
  • Ge, Bin

Abstract

In this paper, we establish the Gierer–Meinhardt model with cross-diffusion, and study Turing instability of its periodic solutions. Firstly, the stability of periodic solutions for the zero-dimensional system is studied by using the center manifold theory and normal form method. Secondly, according to Hopf bifurcation theorem, the diffusion rate formula for determining Turing instability of periodic solutions is established. Thirdly, by using the implicit function existence theorem and Floquet theory, the conditions of Turing instability of periodic solutions are derived, and it is proved that the periodic solutions of the model will undergo Turing instability. Finally, through numerical simulations, it is verified that Turing instability of periodic solutions is actually induced by cross-diffusion.

Suggested Citation

  • Liu, Haicheng & Ge, Bin, 2022. "Turing instability of periodic solutions for the Gierer–Meinhardt model with cross-diffusion," Chaos, Solitons & Fractals, Elsevier, vol. 155(C).
  • Handle: RePEc:eee:chsofr:v:155:y:2022:i:c:s0960077921011061
    DOI: 10.1016/j.chaos.2021.111752
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0960077921011061
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.chaos.2021.111752?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.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Yang, Junxiang & Kim, Junseok, 2023. "Computer simulation of the nonhomogeneous zebra pattern formation using a mathematical model with space-dependent parameters," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).

    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:chsofr:v:155:y:2022:i:c:s0960077921011061. 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: Thayer, Thomas R. (email available below). General contact details of provider: https://www.journals.elsevier.com/chaos-solitons-and-fractals .

    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.