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

Wolfhard Janke·Desmond A. Johnston
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Abstract

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.

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BibTeXRIS

Wolfhard Janke, Desmond A. Johnston. 1999-11-26. Non-Self Averaging in Autocorrelations for Potts Models on Quenched Random Gravity Graphs. https://doi.org/10.1088/0305-4470%2F33%2F14%2F304

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