Convergence of clock processes in random environments and ageing in the p-spin SK model

Abstract

We derive a general criterion for the convergence of clock processes in random dynamics in random environments that is applicable in cases when correlations are not negligible, extending recent results by Gayrard [(2010), (2011), forthcoming], based on general criterion for convergence of sums of dependent random variables due to Durrett and Resnick [Ann. Probab. 6 (1978) 829-846]. We demonstrate the power of this criterion by applying it to the case of random hopping time dynamics of the p-spin SK model. We prove that on a wide range of time scales, the clock process converges to a stable subordinator almost surely with respect to the environment. We also show that a time-time correlation function converges to the arcsine law for this subordinator, almost surely. This improves recent results of Ben Arous, Bovier and Cerny [Comm. Math. Phys. 282 (2008) 663-695] that obtained similar convergence results in law, with respect to the random environment.

Published in at http://dx.doi.org/10.1214/11-AOP705 the Annals of Probability (http://www.imstat.org/aop/) by the Institute of Mathematical Statistics (http://www.imstat.org)

References in corpus (2)

• Scaling limit for trap models on ${\mathbb{Z}}^d$
• Bouchaud's model exhibits two different aging regimes in dimension one

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• The K-process on a tree as a scaling limit of the GREM-like trap model
• Dynamical Freezing in a Spin Glass System with Logarithmic Correlations