Joint min-max distribution and Edwards-Anderson's order parameter of the circular 1 / f-noise model
classification
❄️ cond-mat.stat-mech
cond-mat.dis-nn
keywords
jointmodelcircularconjecturedistributionedwards-andersonfreezing-dualitynoise
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We calculate the joint min--max distribution and the Edwards-Anderson's order parameter for the circular model of $1 / f$-noise. Both quantities, as well as generalisations, are obtained exactly by combining the freezing-duality conjecture and Jack-polynomial techniques. Numerical checks come with significantly improved control of finite-size effects in the glassy phase, and the results convincingly validate the freezing-duality conjecture. Application to diffusive dynamics is discussed. We also provide a formula for the pre-factor ratio of the joint/marginal Carpentier-Le Doussal tail for minimum/maximum which applies to any logarithmic random energy model.
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