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Sharp thresholds for the random-cluster and Ising models

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Graham, Benjamin T. and Grimmett, Geoffrey. (2011) Sharp thresholds for the random-cluster and Ising models. The Annals of Applied Probability, Vol.21 (No.1). pp. 240-265. ISSN 1050-5164

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1214/10-AAP693

Abstract

A sharp-threshold theorem is proved for box-crossing probabilities on the square lattice. The models in question are the random-cluster model near the self-dual point psd(q)=√q∕(1+√q), the Ising model with external field, and the colored random-cluster model. The principal technique is an extension of the influence theorem for monotonic probability measures applied to increasing events with no assumption of symmetry.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Q Science > QC Physics
Divisions: Faculty of Science > Statistics
Library of Congress Subject Headings (LCSH): Probabilities, Ising model, Stochastic processes, Percolation (Statistical physics)
Journal or Publication Title: The Annals of Applied Probability
Publisher: Institute of Mathematical Statistics
ISSN: 1050-5164
Date: 2011
Volume: Vol.21
Number: No.1
Page Range: pp. 240-265
Identification Number: 10.1214/10-AAP693
Status: Peer Reviewed
Publication Status: Published
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URI: http://wrap.warwick.ac.uk/id/eprint/41073

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