Statistical properties of dynamical chaos

  • Received: 01 January 2004 Accepted: 29 June 2018 Published: 01 March 2004
  • MSC : 92D30.

  • This study presents a survey of the results obtained by the authors on statistical description of dynamical chaos and the e ffect of noise on dynamical regimes. We deal with nearly hyperbolic and nonhyperbolic chaotic attractors and discuss methods of diagnosing the type of an attractor. We consider regularities of the relaxation to an invariant probability measure for diff erent types of attractors. We explore peculiarities of autocorrelation decay and of power spectrum shape and their interconnection with Lyapunov exponents, instantaneous phase di ffusion and the intensity of external noise. Numeric results are compared with experimental data.

    Citation: Vadim S. Anishchenko, Tatjana E. Vadivasova, Galina I. Strelkova, George A. Okrokvertskhov. Statistical properties of dynamical chaos[J]. Mathematical Biosciences and Engineering, 2004, 1(1): 161-184. doi: 10.3934/mbe.2004.1.161

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  • This study presents a survey of the results obtained by the authors on statistical description of dynamical chaos and the e ffect of noise on dynamical regimes. We deal with nearly hyperbolic and nonhyperbolic chaotic attractors and discuss methods of diagnosing the type of an attractor. We consider regularities of the relaxation to an invariant probability measure for diff erent types of attractors. We explore peculiarities of autocorrelation decay and of power spectrum shape and their interconnection with Lyapunov exponents, instantaneous phase di ffusion and the intensity of external noise. Numeric results are compared with experimental data.


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  • © 2004 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
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