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Characterization of the chaos-hyperchaos transition based on return times. | LitMetric

Characterization of the chaos-hyperchaos transition based on return times.

Phys Rev E Stat Nonlin Soft Matter Phys

Potsdam Institute for Climate Impact Research, Telegraphenberg A 31, 14473 Potsdam, Germany.

Published: February 2015

AI Article Synopsis

  • The text discusses detecting hyperchaotic oscillations in complex coupled nonlinear systems, emphasizing the challenge that comes with limited information.
  • It introduces a method for diagnosing the chaos-hyperchaos transition using return times in a PoincarĂ© section, allowing for the estimation of two positive Lyapunov exponents from just one sequence of data.
  • The proposed approach helps avoid misidentifying dynamic regimes due to artifacts, with the results showing that while the second Lyapunov exponent may be underestimated when close to the largest one, the difference between chaotic and hyperchaotic behaviors remains clear.

Article Abstract

We discuss the problem of the detection of hyperchaotic oscillations in coupled nonlinear systems when the available information about this complex dynamical regime is very limited. We demonstrate the ability of diagnosing the chaos-hyperchaos transition from return times into a Poincaré section and show that an appropriate selection of the secant plane allows a correct estimation of two positive Lyapunov exponents (LEs) from even a single sequence of return times. We propose a generalized approach for extracting dynamics from point processes that allows avoiding spurious identification of the dynamical regime caused by artifacts. The estimated LEs are nearly close to their expected values if the second positive LE is essentially different from the largest one. If both exponents become nearly close, an underestimation of the second LE may be obtained. Nevertheless, distinctions between chaotic and hyperchaotic regimes are clearly possible.

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Source
http://dx.doi.org/10.1103/PhysRevE.91.022921DOI Listing

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