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Autori principali: M, Wasif Ahamed, R, Kavitha, Ruby V, Chithiika, M, Sathish Aravindh, A, Venkatesan, M, Lakshmanan
Natura: Preprint
Pubblicazione: 2025
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Accesso online:https://arxiv.org/abs/2501.11894
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author M, Wasif Ahamed
R, Kavitha
Ruby V, Chithiika
M, Sathish Aravindh
A, Venkatesan
M, Lakshmanan
author_facet M, Wasif Ahamed
R, Kavitha
Ruby V, Chithiika
M, Sathish Aravindh
A, Venkatesan
M, Lakshmanan
contents Many dynamical systems exhibit unexpected large amplitude excursions in the chronological progression of a state variable. In the present work, we consider the dynamics associated with the one-dimensional Higgs oscillator which is realized through gnomic projection of a harmonic oscillator defined on a spherical space of constant curvature onto a Euclidean plane which is tangent to the spherical space. While studying the dynamics of such a Higgs oscillator subjected to damping and an external forcing, various bifurcation phenomena, such as symmetry breaking, period doubling, and intermittency crises are encountered. As the driven parameter increases, the route to chaos takes place via intermittency crisis and we also identify the occurrence of extreme events due to the interior crisis. The study of probability distribution also confirms the occurrence of extreme events. Finally, we train the Long Short-Term Memory neural network model with the time-series data to forecast the extreme events (EEs).
format Preprint
id arxiv_https___arxiv_org_abs_2501_11894
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Extreme Events in the Higgs Oscillator: A Dynamical Study and Forecasting Approach
M, Wasif Ahamed
R, Kavitha
Ruby V, Chithiika
M, Sathish Aravindh
A, Venkatesan
M, Lakshmanan
Chaotic Dynamics
Many dynamical systems exhibit unexpected large amplitude excursions in the chronological progression of a state variable. In the present work, we consider the dynamics associated with the one-dimensional Higgs oscillator which is realized through gnomic projection of a harmonic oscillator defined on a spherical space of constant curvature onto a Euclidean plane which is tangent to the spherical space. While studying the dynamics of such a Higgs oscillator subjected to damping and an external forcing, various bifurcation phenomena, such as symmetry breaking, period doubling, and intermittency crises are encountered. As the driven parameter increases, the route to chaos takes place via intermittency crisis and we also identify the occurrence of extreme events due to the interior crisis. The study of probability distribution also confirms the occurrence of extreme events. Finally, we train the Long Short-Term Memory neural network model with the time-series data to forecast the extreme events (EEs).
title Extreme Events in the Higgs Oscillator: A Dynamical Study and Forecasting Approach
topic Chaotic Dynamics
url https://arxiv.org/abs/2501.11894