title: Predictability and suppression of extreme events in a chaotic system.
abstract: In many complex systems, large events are believed to follow power-law, scale-free probability distributions so that the extreme, catastrophic events are unpredictable. Here, we study coupled chaotic oscillators that display extreme events. The mechanism responsible for the rare, largest events makes them distinct, and their distribution deviates from a power law. On the basis of this mechanism identification, we show that it is possible to forecast in real time an impending extreme event. Once forecasted, we also show that extreme events can be suppressed by applying tiny perturbations to the system.
authors.affiliation: Grupo de Física Atômica e Lasers-DF, Universidade Federal da Paraíba, Caixa Postal 5086, 58051-900 João Pessoa, Paraíba, Brazil.
authors.forename: Hugo L D de S
authors.initials: HL
authors.lastname: Cavalcante
authors.forename: Marcos
authors.initials: M
authors.lastname: Oriá
authors.forename: Didier
authors.initials: D
authors.lastname: Sornette
authors.forename: Edward
authors.initials: E
authors.lastname: Ott
authors.forename: Daniel J
authors.initials: DJ
authors.lastname: Gauthier