4 research outputs found

    Moderate deviations for random field Curie-Weiss models

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    The random field Curie-Weiss model is derived from the classical Curie-Weiss model by replacing the deterministic global magnetic field by random local magnetic fields. This opens up a new and interestingly rich phase structure. In this setting, we derive moderate deviations principles for the random total magnetization SnS_n, which is the partial sum of (dependent) spins. A typical result is that under appropriate assumptions on the distribution of the local external fields there exist a real number mm, a positive real number λ\lambda, and a positive integer kk such that (Snnm)/nα(S_n-nm)/n^{\alpha} satisfies a moderate deviations principle with speed n12k(1α)n^{1-2k(1-\alpha)} and rate function λx2k/(2k)!\lambda x^{2k}/(2k)!, where 11/(2(2k1))<α<11-1/(2(2k-1)) < \alpha < 1.Comment: 21 page

    Metastates in mean-field models with random external fields generated by Markov chains

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    We extend the construction by Kuelske and Iacobelli of metastates in finite-state mean-field models in independent disorder to situations where the local disorder terms are are a sample of an external ergodic Markov chain in equilibrium. We show that for non-degenerate Markov chains, the structure of the theorems is analogous to the case of i.i.d. variables when the limiting weights in the metastate are expressed with the aid of a CLT for the occupation time measure of the chain. As a new phenomenon we also show in a Potts example that, for a degenerate non-reversible chain this CLT approximation is not enough and the metastate can have less symmetry than the symmetry of the interaction and a Gaussian approximation of disorder fluctuations would suggest.Comment: 20 pages, 2 figure

    A simple mean field model for social interactions: dynamics, fluctuations, criticality

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    We study the dynamics of a spin-flip model with a mean field interaction. The system is non reversible, spacially inhomogeneous, and it is designed to model social interactions. We obtain the limiting behavior of the empirical averages in the limit of infinitely many interacting individuals, and show that phase transition occurs. Then, after having obtained the dynamics of normal fluctuations around this limit, we analize long time fluctuations for critical values of the parameters. We show that random inhomogeneities produce critical fluctuations at a shorter time scale compared to the homogeneous system.Comment: 37 pages, 2 figure
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