HISTOGRAM-IMPORTANCE-SAMPLING MONTE-CARLO METHOD FOR THE Q-STATE POTTS-MODEL

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/39286

Title:	HISTOGRAM-IMPORTANCE-SAMPLING MONTE-CARLO METHOD FOR THE Q-STATE POTTS-MODEL
Authors:	CHEN,JA;HU,CK
Contributors:	物理研究所
Keywords:	RENORMALIZATION-GROUP METHOD;PERCOLATION;CLUSTERS;DROPLETS
Date:	1994
Issue Date:	2010-07-08 14:10:54 (UTC+8)
Publisher:	中央大學
Abstract:	Based on Hu's histogram Monte Carlo method and the Swendsen-Wang algorithm, we calculate the geometrical factor of the q-state bond-correlated percolation model corresponding to the q-state Potts model (QPM). The free energy f, the internal energy U, and the specific heat Ch of the Ising model, i.e., the QPM with q = 2, calculated from this geometrical factor agree very well with exact results. This histogram-importance sampling Monte Carlo method is very simple and has many potential applications.
Relation:	PHYSICAL REVIEW B
Appears in Collections:	[Graduate Institute of Physics] journal & Dissertation

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