Physics – Condensed Matter – Statistical Mechanics
Scientific paper
2007-03-01
Physics
Condensed Matter
Statistical Mechanics
12 pages, 10 figures; submitted
Scientific paper
10.1103/PhysRevB.76.014404
Recently, we developed and implemented the bond propagation algorithm for calculating the partition function and correlation functions of random bond Ising models in two dimensions. The algorithm is the fastest available for calculating these quantities near the percolation threshold. In this paper, we show how to extend the bond propagation algorithm to directly calculate thermodynamic functions by applying the algorithm to derivatives of the partition function, and we derive explicit expressions for this transformation. We also discuss variations of the original bond propagation procedure within the larger context of Y-Delta-Y-reducibility and discuss the relation of this class of algorithm to other algorithms developed for Ising systems. We conclude with a discussion on the outlook for applying similar algorithms to other models.
Carlson Erica W.
Loh Yen Lee
Tan M. Y. J.
No associations
LandOfFree
Bond-Propagation Algorithm for Thermodynamic Functions in General 2D Ising Models does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Bond-Propagation Algorithm for Thermodynamic Functions in General 2D Ising Models, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Bond-Propagation Algorithm for Thermodynamic Functions in General 2D Ising Models will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-284287