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Torus fractalization and intermittency.

Sergey P Kuznetsov1

  • 1Institute of Radio-Electronics, Russian Academy of Sciences, Zelenaya 38, Saratov 410019, Russian Federation.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|August 22, 2002
PubMed
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Researchers studied intermittency onset with quasiperiodic forces, focusing on torus-fractalization. They found universal scaling constants and identified transitions to chaotic or nonchaotic attractors.

Area of Science:

  • Nonlinear Dynamics
  • Chaos Theory
  • Statistical Physics

Background:

  • Intermittency and bifurcation transitions are key phenomena in nonlinear systems.
  • The Pomeau-Manneville mechanism describes intermittency onset in certain dynamical systems.
  • Quasiperiodic forcing introduces complex dynamics not present in periodic forcing.

Purpose of the Study:

  • To investigate bifurcation transitions and intermittency onset under quasiperiodic forcing.
  • To analyze the torus-fractalization (TF) critical point.
  • To develop a renormalization group (RG) analysis for the TF critical point.

Main Methods:

  • Generalization of the Pomeau-Manneville mechanism for quasiperiodic forces.
  • Renormalization group (RG) analysis applied to the torus-fractalization critical point.

Related Experiment Videos

  • Investigation of fractional-linear functions and their fixed-point solutions.
  • Main Results:

    • A nontrivial fixed-point solution for the RG equation was found for the golden mean rotation number.
    • Universal constants governing phase space (alpha, beta) and parameter space (delta1, delta2) scaling were computed.
    • An analogy with the Harper equation revealed unique transition characteristics.

    Conclusions:

    • The study characterizes the torus-fractalization critical point under quasiperiodic forcing.
    • Transitions can lead to intermittent chaotic regimes or strange nonchaotic attractors depending on driving amplitude.
    • The findings provide insights into complex dynamics and bifurcations in driven systems.