IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-540-26657-0_26.html
   My bibliography  Save this book chapter

Phasediagram and Scaling Properties of the Projected SO(5) Model in Three Dimensions

In: High Performance Computing in Science and Engineering, Munich 2004

Author

Listed:
  • Martin Jöstingmeier

    (University of Würzburg, Institute for Theoretical Physics and Astrophysics)

  • Ansgar Dorneich

    (University of Würzburg, Institute for Theoretical Physics and Astrophysics)

  • Enrico Arrigoni

    (Technical University of Graz, Institute for Theoretical Physics)

  • Werner Hanke

    (University of Würzburg, Institute for Theoretical Physics and Astrophysics)

  • Shou-Cheng Zhang

    (Stanford University, Department of Physics)

Abstract

We study the scaling properties of the quantum projected SO(5) model in three dimensions by means of a highly accurate Quantum-Monte-Carlo analysis. Within the parameter regime studied (temperature and system size), we show that the scaling behavior is consistent with a SO(5)-symmetric critical behavior in the numerically accessible region. This holds both when the symmetry breaking is caused by quantum fluctuations only as well as when also the static (mean-field) symmetry is moderately broken. We argue that possible departure away from the SO(5) - symmetric scaling occurs only in an extremely narrow parameter regime, which is inaccessible both experimentally and numerically.

Suggested Citation

  • Martin Jöstingmeier & Ansgar Dorneich & Enrico Arrigoni & Werner Hanke & Shou-Cheng Zhang, 2005. "Phasediagram and Scaling Properties of the Projected SO(5) Model in Three Dimensions," Springer Books, in: Siegfried Wagner & Werner Hanke & Arndt Bode & Franz Durst (ed.), High Performance Computing in Science and Engineering, Munich 2004, pages 289-300, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-26657-0_26
    DOI: 10.1007/3-540-26657-7_26
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    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:spr:sprchp:978-3-540-26657-0_26. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.