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Physica A Statistical Mechanics and its Applications
Article . 2019 . Peer-reviewed
License: Elsevier Non-Commercial
Data sources: Crossref
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zbMATH Open
Article . 2019
Data sources: zbMATH Open
https://dx.doi.org/10.48550/ar...
Article . 2019
License: arXiv Non-Exclusive Distribution
Data sources: Datacite
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Dragon-kings death in nonlinear wave interactions

Authors: Santos, Moises S.; Szezech, José D.; Batista, Antonio M.; Iarosz, Kelly C.; Caldas, Iberê L.; Viana, Ricardo L.;

Dragon-kings death in nonlinear wave interactions

Abstract

Extreme events are characterised by low probabilities and high impact on the systems. As a consequence, it is possible to find many studies about the predictability and suppression of extreme events. In this work, we show the existence of dragon-kings extreme events in nonlinear three-wave interactions. Dragon-king extreme events, identified by phase transitions, tipping points, and catastrophes, affects fluctuating systems. We show that these events can be avoided by adding a perturbing small amplitude wave to the system.

Keywords

extreme events, dragon-kings, three-wave interactions, FOS: Physical sciences, suppression, Chaotic Dynamics (nlin.CD), Nonlinear Sciences - Chaotic Dynamics, Statistical mechanics, structure of matter

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
Green
hybrid