IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v486y2017icp674-680.html
   My bibliography  Save this article

Route to chaos and some properties in the boundary crisis of a generalized logistic mapping

Author

Listed:
  • da Costa, Diogo Ricardo
  • Medrano-T, Rene O.
  • Leonel, Edson Denis

Abstract

A generalization of the logistic map is considered, showing two control parameters α and β that can reproduce different logistic mappings, including the traditional second degree logistic map, cubic, quartic and all other degrees. We introduce a parametric perturbation such that the original logistic map control parameter R changes its value periodically according an additional parameter ω=2∕q. The value of q gives this period. For this system, an analytical expression is obtained for the first bifurcation that starts a period-doubling cascade and, using the Feigenbaum Universality, we found numerically the accumulation point Rc where the cascade finishes giving place to chaos. In the second part of the paper we study the death of this chaotic behavior due to a boundary crisis. At the boundary crisis, orbits can reach a maximum value X=Xmax=1. When it occurs, the trajectory is mapped to a fixed point at X=0. We show that there exist a general recursive formula for initial conditions that lead to X=Xmax.

Suggested Citation

  • da Costa, Diogo Ricardo & Medrano-T, Rene O. & Leonel, Edson Denis, 2017. "Route to chaos and some properties in the boundary crisis of a generalized logistic mapping," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 674-680.
  • Handle: RePEc:eee:phsmap:v:486:y:2017:i:c:p:674-680
    DOI: 10.1016/j.physa.2017.05.074
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437117305939
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2017.05.074?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. Hongyan Zang & Jianying Liu & Jiu Li, 2021. "Construction of a Class of High-Dimensional Discrete Chaotic Systems," Mathematics, MDPI, vol. 9(4), pages 1-20, February.

    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:phsmap:v:486:y:2017:i:c:p:674-680. 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: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    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.