IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v296y2001i1p119-130.html
   My bibliography  Save this article

Multi-state coupled map lattices

Author

Listed:
  • Martins, Luciano C
  • Brunnet, Leonardo G

Abstract

We investigate a two-dimensional locally coupled map lattice (CML) with the local dynamics driven by the multi-attractor quartic map. In particular, we explore a region where two local fixed points exist, one being periodic and the other chaotic. Different sets of initial conditions such as random initial values for each site or arrangements favoring equal weights to the different local attractors were used. The system reaches different asymptotic states as the intensity or the topology of the local coupling is varied. Among the asymptotic states, we find either homogeneous collective behavior or mixtures of these with synchronized states. These states are characterized and interpreted throughout this work by the distributions of the values of the maps and by the average roughness over the lattice.

Suggested Citation

  • Martins, Luciano C & Brunnet, Leonardo G, 2001. "Multi-state coupled map lattices," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 296(1), pages 119-130.
  • Handle: RePEc:eee:phsmap:v:296:y:2001:i:1:p:119-130
    DOI: 10.1016/S0378-4371(01)00167-4
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437101001674
    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/S0378-4371(01)00167-4?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. Karataieva, Tatiana & Koshmanenko, Volodymyr & Krawczyk, Małgorzata J. & Kułakowski, Krzysztof, 2019. "Mean field model of a game for power," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 535-547.
    2. Disconzi, Marcelo M. & Brunnet, Leonardo G., 2006. "Dynamics at the interface dividing collective chaotic and synchronized periodic states in a CML," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 360(2), pages 159-170.

    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:296:y:2001:i:1:p:119-130. 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.