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
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;
Conference_Titel :
Information Theory Proceedings (ISIT), 2013 IEEE International Symposium on
Conference_Location :
Istanbul
DOI :
10.1109/ISIT.2013.6620637