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The phase-modulated logistic map.

Amitabha Nandi1, Debabrata Dutta, Jayanta K Bhattacharjee

  • 1School of Physical Sciences, Jawaharlal Nehru University, New Delhi 110 067, India.

Chaos (Woodbury, N.Y.)
|July 23, 2005
PubMed
Summary
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Delayed feedback stabilizes periodic dynamics in logistic mapping. New bifurcations, including period-unity increases, extend understanding of nonlinear dynamical systems and crises.

Area of Science:

  • Nonlinear Dynamics
  • Chaos Theory
  • Mathematical Physics

Background:

  • The logistic map is a fundamental model in chaos theory, exhibiting complex dynamics.
  • Delayed feedback mechanisms are increasingly studied for controlling chaotic systems.
  • Stabilizing periodic orbits is crucial for understanding and predicting system behavior.

Purpose of the Study:

  • To investigate the effect of delayed feedback on the logistic map's dynamics.
  • To explore new bifurcation phenomena arising from history-dependent modulation.
  • To extend the application of kneading theory to modulated unimodal maps.

Main Methods:

  • Analysis of the logistic map with a nonlinearity parameter modulated by a phase-like variable.
  • Systematic study of bifurcations as a function of nonlinearity and modulation parameters.

Related Experiment Videos

  • Application of kneading theory for systematizing periodic orbits.
  • Main Results:

    • Delayed feedback enables enhanced stabilization of periodic dynamics.
    • New bifurcation types observed, including period-doubling, tangent bifurcations, and period-unity increases.
    • These period-unity bifurcations represent extensions of crises in nonlinear systems.
    • Periodic orbits are successfully systematized using an extended kneading theory.

    Conclusions:

    • Delayed feedback provides a powerful tool for controlling and stabilizing nonlinear systems like the logistic map.
    • The discovery of new bifurcation phenomena expands the understanding of complex dynamics and system predictability.
    • The extended kneading theory offers a robust framework for analyzing modulated unimodal maps.