Exactness of the cluster variation method and factorization of the equilibrium probability for the Wako-Saito-Munoz-Eaton model of protein folding

dc.creatorPelizzola, A.
dc.date2005-11-30
dc.date.accessioned2026-07-07T06:49:29Z
dc.date.available2026-07-07T06:49:29Z
dc.descriptionI study the properties of the equilibrium probability distribution of a protein folding model originally introduced by Wako and Saito, and later reconsidered by Munoz and Eaton. The model is a one-dimensional model with binary variables and many-body, long-range interactions, which has been solved exactly through a mapping to a two-dimensional model of binary variables with local constraints. Here I show that the equilibrium probability of this two-dimensional model factors into the product of local cluster probabilities, each raised to a suitable exponent. The clusters involved are single sites, nearest-neighbour pairs and square plaquettes, and the exponents are the coefficients of the entropy expansion of the cluster variation method. As a consequence, the cluster variation method is exact for this model.
dc.description14 pages, 1 figure
dc.identifierhttps://arxiv.org/abs/cond-mat/0511728
dc.identifierhttp://arxiv.org/abs/cond-mat/0511728
dc.identifierJ. Stat. Mech. P11010 (2005)
dc.identifierdoi:10.1088/1742-5468/2005/11/P11010
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/104363
dc.subjectStatistical Mechanics
dc.titleExactness of the cluster variation method and factorization of the equilibrium probability for the Wako-Saito-Munoz-Eaton model of protein folding
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