Non-Self Averaging in Autocorrelations for Potts Models on Quenched Random Gravity Graphs

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We investigate the non-self-averaging properties of the dynamics of Ising, 4-state Potts and 10-state Potts models in single-cluster Monte Carlo simulations on quenched ensembles of planar, trivalent Phi3 random graphs, which we use as an example of relevant quenched connectivity disorder. We employ a novel application of scaling techniques to the cumulative probability distribution of the autocorrelation times for both the energy and magnetisation in order to discern non-self-averaging. Although the specific results discussed here are for quenched random graphs, the method has quite general applicability.
9 pages + 11 figures

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Statistical Mechanics, General Relativity and Quantum Cosmology, High Energy Physics - Lattice

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http://salesiana.dossiersoluciones.com/handle/123456789/184923

Consulte el texto completo en el siguiente enlace:

https://arxiv.org/abs/cond-mat/9911443
 http://arxiv.org/abs/cond-mat/9911443
 J.Phys.A33:2653-2662,2000
 doi:10.1088/0305-4470/33/14/304

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arXiv