IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-38565-0_4.html
   My bibliography  Save this book chapter

Large-N Transitions and Critical Phenomena

In: Application of Integrable Systems to Phase Transitions

Author

Listed:
  • C. B. Wang

    (Institute of Analysis)

Abstract

The bifurcation transition models discussed in the last chapter can be extended to large-N transitions, which will be explained in this chapter based on hypergeometric-type differential equations and the double scaling method. The singular values of the hypergeometric-type differential equation are related to the elliptic functions that are the fundamental mathematical tools for studying the vertex models in statistical physics. The double scaling method can connect the string system to the soliton system. Different transitions, or discontinuities, will be discussed in this chapter, especially the odd-order transitions, such as first-, third- and fifth-order transitions, which can be formulated by using the density models. The second-order divergences (critical phenomena) that are usually discussed in physics by using renormalization methods can be obtained by considering the derivatives of the logarithm of the partition function in the original potential parameter direction and using the Toda lattice. The third-order divergence for the planar diagram model is investigated in association with the critical phenomenon and double scaling. The fourth-order discontinuity is studied by using the analytic properties of the integrable system.

Suggested Citation

  • C. B. Wang, 2013. "Large-N Transitions and Critical Phenomena," Springer Books, in: Application of Integrable Systems to Phase Transitions, edition 127, chapter 0, pages 75-106, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-38565-0_4
    DOI: 10.1007/978-3-642-38565-0_4
    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:978-3-642-38565-0_4. 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.