Controlling a complex system near its critical point via temporal correlations

dc.creatorChialvo, Dante R.
dc.creatorCannas, Sergio A.
dc.creatorGrigera, Tomás Sebastián
dc.creatorMártin, Daniel A.
dc.creatorPlenz, Dietmar
dc.date2020
dc.date2020-10-28T18:44:05Z
dc.date.accessioned2023-07-14T22:44:34Z
dc.date.available2023-07-14T22:44:34Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/107896
dc.identifierhttp://europepmc.org/backend/ptpmcrender.fcgi?accid=PMC7376152&blobtype=pdf
dc.identifierissn:2045-2322
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7448034
dc.descriptionMany complex systems exhibit large fuctuations both across space and over time. These fuctuations have often been linked to the presence of some kind of critical phenomena, where it is well known that the emerging correlation functions in space and time are closely related to each other. Here we test whether the time correlation properties allow systems exhibiting a phase transition to self-tune to their critical point. We describe results in three models: the 2D Ising ferromagnetic model, the 3D Vicsek focking model and a small-world neuronal network model. We demonstrate that feedback from the autocorrelation function of the order parameter fuctuations shifts the system towards its critical point. Our results rely on universal properties of critical systems and are expected to be relevant to a variety of other settings.
dc.descriptionInstituto de Física de Líquidos y Sistemas Biológicos
dc.formatapplication/pdf
dc.languagees
dc.rightshttp://creativecommons.org/licenses/by/4.0/
dc.rightsCreative Commons Attribution 4.0 International (CC BY 4.0)
dc.subjectCiencias Exactas
dc.subjectFuctuations
dc.subjectNeuronal network model
dc.subjectAutocorrelation function
dc.subjectComplex system
dc.titleControlling a complex system near its critical point via temporal correlations
dc.typeArticulo
dc.typeArticulo


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