9 Citations (Scopus)

Abstract

Nonstationary dynamical systems arise in applications, but little has been done in terms of the characterization of such systems, as most standard notions in nonlinear dynamics such as the Lyapunov exponents and fractal dimensions are developed for stationary dynamical systems. We propose a framework to characterize nonstationary dynamical systems. A natural way is to generate and examine ensemble snapshots using a large number of trajectories, which are capable of revealing the underlying fractal properties of the system. By defining the Lyapunov exponents and the fractal dimension based on a proper probability measure from the ensemble snapshots, we show that the Kaplan-Yorke formula, which is fundamental in nonlinear dynamics, remains valid most of the time even for nonstationary dynamical systems.

Original languageEnglish (US)
Article number026208
JournalPhysical Review E - Statistical, Nonlinear, and Soft Matter Physics
Volume77
Issue number2
DOIs
StatePublished - Feb 12 2008

Fingerprint

dynamical systems
Chaotic System
Dynamical system
fractals
Snapshot
Fractal Dimension
Lyapunov Exponent
Nonlinear Dynamics
Ensemble
exponents
Probability Measure
Fractal
trajectories
Valid
Trajectory

ASJC Scopus subject areas

  • Physics and Astronomy(all)
  • Condensed Matter Physics
  • Statistical and Nonlinear Physics
  • Mathematical Physics

Cite this

Characterization of nonstationary chaotic systems. / Serquina, Ruth; Lai, Ying-Cheng; Chen, Qingfei.

In: Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, Vol. 77, No. 2, 026208, 12.02.2008.

Research output: Contribution to journalArticle

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