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Low Frequency Power Spectra and Classification of Hamiltonian Trajectories

  • George Voyatzis
Chapter
Part of the Lecture Notes in Physics book series (LNP, volume 626)

Abstract

We consider the problem of trajectory classification (as regular or chaotic) in Hamiltonian systems through power spectrum analysis. We focus our attention on the low frequency domain and we study the asymptotic behavior of the power spectrum when the frequencies tend to zero. A low frequency power estimator γ is derived that indicates the significance of the relative power included by the low frequencies and we show that it is related to the underlying dynamics of the trajectories. The asymptotic behavior of γ along a trajectory is qualitatively similar to that of the finite time Liapunov characteristic number. The standard map is used as a test model, because it is a typical model for describing Hamiltonian dynamics.

Keywords

Power Spectrum Hamiltonian System Discrete Fourier Transform Power Spectrum Analysis Chaotic Orbit 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • George Voyatzis
    • 1
  1. 1.Department of PhysicsUniversity of ThessalonikiThessalonikiGreece

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