Literature DB >> 28085470

Death and revival of chaos.

Bálint Kaszás1, Ulrike Feudel2, Tamás Tél3.   

Abstract

We investigate the death and revival of chaos under the impact of a monotonous time-dependent forcing that changes its strength with a non-negligible rate. Starting on a chaotic attractor it is found that the complexity of the dynamics remains very pronounced even when the driving amplitude has decayed to rather small values. When after the death of chaos the strength of the forcing is increased again with the same rate of change, chaos is found to revive but with a different history. This leads to the appearance of a hysteresis in the complexity of the dynamics. To characterize these dynamics, the concept of snapshot attractors is used, and the corresponding ensemble approach proves to be superior to a single trajectory description, that turns out to be nonrepresentative. The death (revival) of chaos is manifested in a drop (jump) of the standard deviation of one of the phase-space coordinates of the ensemble; the details of this chaos-nonchaos transition depend on the ratio of the characteristic times of the amplitude change and of the internal dynamics. It is demonstrated that chaos cannot die out as long as underlying transient chaos is present in the parameter space. As a condition for a "quasistatically slow" switch-off, we derive an inequality which cannot be fulfilled in practice over extended parameter ranges where transient chaos is present. These observations need to be taken into account when discussing the implications of "climate change scenarios" in any nonlinear dynamical system.

Entities:  

Year:  2016        PMID: 28085470     DOI: 10.1103/PhysRevE.94.062221

Source DB:  PubMed          Journal:  Phys Rev E        ISSN: 2470-0045            Impact factor:   2.529


  2 in total

1.  How can contemporary climate research help understand epidemic dynamics? Ensemble approach and snapshot attractors.

Authors:  T Kovács
Journal:  J R Soc Interface       Date:  2020-12-09       Impact factor: 4.118

2.  Tipping phenomena in typical dynamical systems subjected to parameter drift.

Authors:  Bálint Kaszás; Ulrike Feudel; Tamás Tél
Journal:  Sci Rep       Date:  2019-06-17       Impact factor: 4.379

  2 in total

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