Abstract

Chaotic dynamics of a dynamical system is not necessarily persistent. If there is (without any active intervention from outside) a transition towards a (possibly nonchaotic) attractor, this phenomenon is called transient chaos, which can be observed in a variety of systems, e.g., in chemical reactions, population dynamics, neuronal activity, or cardiac dynamics. Also, chimera states, which show coherent and incoherent dynamics in spatially distinct regions of the system, are often chaotic transients. In many practical cases, the control of the chaotic dynamics (either the termination or the preservation of the chaotic dynamics) is desired. Although the self-termination typically occurs quite abruptly and can so far in general not be properly predicted, previous studies showed that in many systems a 'terminal transient phase" (TTP) prior to the self-termination existed, where the system was less susceptible against small but finite perturbations in different directions in state space. In this study, we show that, in the specific case of chimera states, these susceptible directions can be related to the structure of the chimera, which we divide into the coherent part, the incoherent part and the boundary in between. That means, in practice, if self-termination is close we can identify the direction of perturbation which is likely to maintain the chaotic dynamics (the chimera state). This finding improves the general understanding of the state space structure during the TTP, and could contribute also to practical applications like future control strategies of epileptic seizures which have been recently related to the collapse of chimera states.

Highlights

  • In systems which show chaotic transients an apparently chaotic dynamics can be observed for a certain amount of time [characterized by positive Lyapunov exponents and the sensitive dependence of initial conditions], until a transition towards a possibly nonchaotic attractor occurs

  • Chaotic transients appear in diverse fields, e.g., in population dynamics [3], ecology [4,5], coupled FitzHugh-Nagumo oscillators [7], nuclear magnetic resonance (NMR) lasers [8], turbulence [9], neural networks [10,11,12], cardiac dynamics [13], or plankton blooms [14]

  • The temporal length of this transition phase is much larger than the Lyapunov time, which means that the dynamics near the “exits” of the chaotic regime of the state space is determined by a specific global structure

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Summary

INTRODUCTION

In systems which show chaotic transients an apparently chaotic dynamics can be observed for a certain amount of time [characterized by positive (finite time) Lyapunov exponents and the sensitive dependence of initial conditions], until a transition towards a possibly nonchaotic attractor occurs. In [25,26] it was shown in spatially extended systems and low-dimensional maps that the transition from the chaotic regime towards the (nonchaotic) attractor of the system is a process with a finite length, called the ‘terminal transient phase” (TTP), which manifests in a change of the state space structure. During this final phase, the system is susceptible against small but finite perturbations only in specific directions. The localized (in space and time) application of a finite perturbation is in contrast to former control strategies of chimera states, which mostly rely on feedback control or other (global) approaches [28,29,30,31]

MODELS
Determining average lifetime of transients
Identification of a TTP
CONCLUSION
Full Text
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