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Computational modeling reveals intermittent extreme events in a hyperchaotic system lacking equilibria, indicating rare-event generation does not require equilibrium-based instability mechanisms.
This paper reveals the occurrence of intermittent extreme events in a four-dimensional autonomous hyperchaotic system without equilibria. In the absence of equilibria, classical mechanisms based on saddle structures and Shilnikov-type analysis cannot be invoked, raising the fundamental question of whether extreme events can arise without equilibrium-based instabilities. Through numerical simulations, we demonstrate that the system exhibits sudden transitions from bounded chaotic oscillations to rare, large-amplitude bursts. Extreme events are identified using a threshold defined as the mean plus four standard deviations of the local-maxima time series. The amplitude distribution exhibits a pronounced heavy tail and is well described by a Generalized Extreme Value (GEV) distribution of Fréchet type, with shape parameter [Formula: see text] (95% confidence interval [Formula: see text], validated by parametric bootstrap), which remains stable when the threshold multiplier is varied from 3.5 to 5.0. The inter-event intervals follow an exponential distribution, indicating that successive events are statistically uncorrelated and consistent with a Poisson process. A two-dimensional parameter analysis reveals that extreme events persist across broad regions spanning both chaotic and hyperchaotic dynamics. An offset boosting analysis shows that the variable [Formula: see text] is boostable, translating the attractor rigidly along the [Formula: see text]-axis without altering the dynamical complexity of the system; a multistability diagnostic reveals no coexisting attractors along the scanned family of initial conditions at the reference parameter set. These results demonstrate that extreme events can arise in the complete absence of equilibria, thereby extending the current understanding of rare-event generation beyond equilibrium-based dynamical scenarios. To the best of our knowledge, this constitutes the first numerical evidence of extreme events in a hyperchaotic system without equilibria.
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Léandre Kamdjeu Kengne (2026) studied this question.
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