• DocumentCode
    640297
  • Title

    Partition function of the Ising model via factor graph duality

  • Author

    Molkaraie, Mehdi ; Loeliger, Hans-Andrea

  • Author_Institution
    Dept. of Stat. & Actuarial Sci., Univ. of Waterloo, Waterloo, ON, Canada
  • fYear
    2013
  • fDate
    7-12 July 2013
  • Firstpage
    2304
  • Lastpage
    2308
  • Abstract
    The partition function of a factor graph and the partition function of the dual factor graph are related to each other by the normal factor graph duality theorem. We apply this result to the classical problem of computing the partition function of the Ising model. In the one-dimensional case, we thus obtain an alternative derivation of the (well-known) analytical solution. In the two-dimensional case, we find that Monte Carlo methods are much more efficient on the dual graph than on the original graph, especially at low temperature.
  • Keywords
    Ising model; Monte Carlo methods; duality (mathematics); graph theory; Ising model; Monte Carlo methods; analytical solution; normal factor graph duality theorem; one-dimensional case; partition function; two-dimensional case; Boundary conditions; Computational modeling; Couplings; Information theory; Monte Carlo methods; Random variables; Temperature;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
  • Conference_Location
    Istanbul
  • ISSN
    2157-8095
  • Type

    conf

  • DOI
    10.1109/ISIT.2013.6620637
  • Filename
    6620637