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Simulation of Early Earth Hydrothermal Chimneys in a Thermal Gradient Environment
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Hyperchaos and synchronization in two element nonlinear chimney model.

Anisha R V Kashyap1, Kiran M Kolwankar2

  • 1Department of Physics, University of Mumbai, Santa Cruz (E), Mumbai 400 098, India.

Chaos (Woodbury, N.Y.)
|December 31, 2020
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Summary
This summary is machine-generated.

This study models tree swaying using a nonlinear two-element chimney model, revealing chaotic and hyperchaotic dynamics. Synchronization phenomena, including phase synchronization and antisynchronization, were observed between system segments.

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Area of Science:

  • Nonlinear dynamics
  • Complex systems modeling
  • Fluid-structure interaction

Background:

  • Tree swaying at high wind speeds presents complex dynamic behaviors.
  • Existing models may not fully capture the nonlinearities involved in wind-induced tree motion.

Purpose of the Study:

  • To investigate the chaotic and hyperchaotic dynamics of a two-element chimney model with nonlinearity.
  • To model the swaying of trees at high wind speeds.
  • To analyze synchronization phenomena in segmented systems.

Main Methods:

  • Numerical computation of solutions and Lyapunov spectrum for the nonlinear two-element chimney model.
  • Parameter space exploration to identify regions of chaos and hyperchaos.
  • Analysis of synchronization patterns (phase synchronization, antisynchronization) between system segments.

Main Results:

  • The system exhibits chaotic behavior across a broad parameter range.
  • Hyperchaos is observed in a specific parameter subspace, suppressed when the largest Lyapunov exponent exceeds a threshold.
  • Phase synchronization, antisynchronization, and toggling between synchronization states are identified.

Conclusions:

  • The nonlinear two-element chimney model effectively captures complex dynamics relevant to tree swaying.
  • The findings highlight the potential for chaos, hyperchaos, and diverse synchronization patterns in such systems.
  • Understanding these dynamics is crucial for predicting tree response to high winds.