The onset of chaos in nonautonomous dissipative dynamical systems: a low-order ocean-model case study

<p>A four-dimensional nonlinear spectral ocean model is used to study the transition to chaos induced by periodic forcing in systems that are nonchaotic in the autonomous limit. The analysis relies on the construction of the system's pullback attractors (PBAs) through ensemble simulat...

Full description

Bibliographic Details
Main Authors: S. Pierini, M. D. Chekroun, M. Ghil
Format: Article
Language:English
Published: Copernicus Publications 2018-09-01
Series:Nonlinear Processes in Geophysics
Online Access:https://www.nonlin-processes-geophys.net/25/671/2018/npg-25-671-2018.pdf
id doaj-aad6909003f64b25a2022cd663bb7aa4
record_format Article
spelling doaj-aad6909003f64b25a2022cd663bb7aa42020-11-25T00:32:05ZengCopernicus PublicationsNonlinear Processes in Geophysics1023-58091607-79462018-09-012567169210.5194/npg-25-671-2018The onset of chaos in nonautonomous dissipative dynamical systems: a low-order ocean-model case studyS. Pierini0S. Pierini1M. D. Chekroun2M. Ghil3M. Ghil4Dipartimento di Scienze e Tecnologie, Universita' di Napoli Parthenope, Naples, ItalyCoNISMa, Rome, ItalyUniversity of California at Los Angeles, Los Angeles, California, USAUniversity of California at Los Angeles, Los Angeles, California, USAEcole Normale Supérieure and PSL Research University, Paris, France<p>A four-dimensional nonlinear spectral ocean model is used to study the transition to chaos induced by periodic forcing in systems that are nonchaotic in the autonomous limit. The analysis relies on the construction of the system's pullback attractors (PBAs) through ensemble simulations, based on a large number of initial states in the remote past. A preliminary analysis of the autonomous system is carried out by investigating its bifurcation diagram, as well as by calculating a metric that measures the mean distance between two initially nearby trajectories, along with the system's entropy. We find that nonchaotic attractors can still exhibit sensitive dependence on initial data over some time interval; this apparent paradox is resolved by noting that the dependence only concerns the phase of the periodic trajectories, and that it disappears once the latter have converged onto the attractor. The periodically forced system, analyzed by the same methods, yields periodic or chaotic PBAs depending on the periodic forcing's amplitude <i>ε</i>. A new diagnostic method – based on the cross-correlation between two initially nearby trajectories – is proposed to characterize the transition between the two types of behavior. Transition to chaos is found to occur abruptly at a critical value <i>ε</i><sub>c</sub> and begins with the intermittent emergence of periodic oscillations with distinct phases. The same diagnostic method is finally shown to be a useful tool for autonomous and aperiodically forced systems as well.</p>https://www.nonlin-processes-geophys.net/25/671/2018/npg-25-671-2018.pdf
collection DOAJ
language English
format Article
sources DOAJ
author S. Pierini
S. Pierini
M. D. Chekroun
M. Ghil
M. Ghil
spellingShingle S. Pierini
S. Pierini
M. D. Chekroun
M. Ghil
M. Ghil
The onset of chaos in nonautonomous dissipative dynamical systems: a low-order ocean-model case study
Nonlinear Processes in Geophysics
author_facet S. Pierini
S. Pierini
M. D. Chekroun
M. Ghil
M. Ghil
author_sort S. Pierini
title The onset of chaos in nonautonomous dissipative dynamical systems: a low-order ocean-model case study
title_short The onset of chaos in nonautonomous dissipative dynamical systems: a low-order ocean-model case study
title_full The onset of chaos in nonautonomous dissipative dynamical systems: a low-order ocean-model case study
title_fullStr The onset of chaos in nonautonomous dissipative dynamical systems: a low-order ocean-model case study
title_full_unstemmed The onset of chaos in nonautonomous dissipative dynamical systems: a low-order ocean-model case study
title_sort onset of chaos in nonautonomous dissipative dynamical systems: a low-order ocean-model case study
publisher Copernicus Publications
series Nonlinear Processes in Geophysics
issn 1023-5809
1607-7946
publishDate 2018-09-01
description <p>A four-dimensional nonlinear spectral ocean model is used to study the transition to chaos induced by periodic forcing in systems that are nonchaotic in the autonomous limit. The analysis relies on the construction of the system's pullback attractors (PBAs) through ensemble simulations, based on a large number of initial states in the remote past. A preliminary analysis of the autonomous system is carried out by investigating its bifurcation diagram, as well as by calculating a metric that measures the mean distance between two initially nearby trajectories, along with the system's entropy. We find that nonchaotic attractors can still exhibit sensitive dependence on initial data over some time interval; this apparent paradox is resolved by noting that the dependence only concerns the phase of the periodic trajectories, and that it disappears once the latter have converged onto the attractor. The periodically forced system, analyzed by the same methods, yields periodic or chaotic PBAs depending on the periodic forcing's amplitude <i>ε</i>. A new diagnostic method – based on the cross-correlation between two initially nearby trajectories – is proposed to characterize the transition between the two types of behavior. Transition to chaos is found to occur abruptly at a critical value <i>ε</i><sub>c</sub> and begins with the intermittent emergence of periodic oscillations with distinct phases. The same diagnostic method is finally shown to be a useful tool for autonomous and aperiodically forced systems as well.</p>
url https://www.nonlin-processes-geophys.net/25/671/2018/npg-25-671-2018.pdf
work_keys_str_mv AT spierini theonsetofchaosinnonautonomousdissipativedynamicalsystemsaloworderoceanmodelcasestudy
AT spierini theonsetofchaosinnonautonomousdissipativedynamicalsystemsaloworderoceanmodelcasestudy
AT mdchekroun theonsetofchaosinnonautonomousdissipativedynamicalsystemsaloworderoceanmodelcasestudy
AT mghil theonsetofchaosinnonautonomousdissipativedynamicalsystemsaloworderoceanmodelcasestudy
AT mghil theonsetofchaosinnonautonomousdissipativedynamicalsystemsaloworderoceanmodelcasestudy
AT spierini onsetofchaosinnonautonomousdissipativedynamicalsystemsaloworderoceanmodelcasestudy
AT spierini onsetofchaosinnonautonomousdissipativedynamicalsystemsaloworderoceanmodelcasestudy
AT mdchekroun onsetofchaosinnonautonomousdissipativedynamicalsystemsaloworderoceanmodelcasestudy
AT mghil onsetofchaosinnonautonomousdissipativedynamicalsystemsaloworderoceanmodelcasestudy
AT mghil onsetofchaosinnonautonomousdissipativedynamicalsystemsaloworderoceanmodelcasestudy
_version_ 1725320975863513088