2019
DOI: 10.1016/j.spa.2018.04.005
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The dynamics of critical fluctuations in asymmetric Curie–Weiss models

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Cited by 7 publications
(16 citation statements)
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“…Then the conclusion follows as in Proposition 2.1 taking G d the generator of the semigroup associated to the deterministic evolution (8).…”
Section: Definition Thermodynamic Limit and Chaos Propagationmentioning
confidence: 71%
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“…Then the conclusion follows as in Proposition 2.1 taking G d the generator of the semigroup associated to the deterministic evolution (8).…”
Section: Definition Thermodynamic Limit and Chaos Propagationmentioning
confidence: 71%
“…Also, we are interested in how perturbations of different types may change the large scale picture of the system as the number of agents grows to infinity, giving rise to periodic self-organized behaviours of the agents. This type of phenomenon has already been described in many models of spin systems with mean-field interaction where some kind of frustration is present in the agents' attitude; for example, in [3,8,9], a dissipation term (that, in absence of interaction, leads the system to a neutral condition where no action is preferred over the other) is added in the evolution of Curie-Weiss-like models.…”
Section: Introductionmentioning
confidence: 84%
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“…Instead of considering the usual radius and angle variables, we are using the pair radius squared and angle. This is for notational convenience and to be consistent with notation in [14]. Moreover, for any fixed radius, the parametric curve obtained in R 2 is traversed clockwise, rather than anticlockwise, while increasing the angle in S 1 .…”
Section: Preliminaries: Expansion Of the Hamiltonianmentioning
confidence: 81%
“…it shows a time periodic behaviour despite of the fact that no periodic force is applied. More recently, fluctuations on the level of a path-space (standard and non-standard) central limit theorem for the noiseless version of the same model were studied in [14]. Our aim is to continue the analysis of fluctuations by characterizing their dynamical features whenever looking for moderate size deviations from the average value.…”
Section: Introductionmentioning
confidence: 99%