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Unfolding spatiotemporal dynamics through symmetry reduction based on orbit topology.

Chaos (Woodbury, N.Y.)·2021
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Related Experiment Video

Updated: Nov 10, 2025

Experimental Investigation of Secondary Flow Structures Downstream of a Model Type IV Stent Failure in a 180° Curved Artery Test Section
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Symbolic partition in chaotic maps.

Misha Chai1, Yueheng Lan1

  • 1School of Science, Beijing University of Posts and Telecommunications, Beijing 100876, China.

Chaos (Woodbury, N.Y.)
|April 3, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a novel method using unstable manifold data to identify partition boundaries in dynamical systems. The approach is validated on the Hénon map, demonstrating its effectiveness for chaos analysis.

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Area of Science:

  • Dynamical Systems and Chaos Theory
  • Nonlinear Dynamics
  • Computational Physics

Background:

  • Understanding the complex behavior of dynamical systems is crucial.
  • Accurate partition boundaries are essential for analyzing chaotic systems.
  • Existing methods for locating these boundaries can be computationally intensive or imprecise.

Purpose of the Study:

  • To develop and validate a new method for locating partition boundaries in dynamical systems.
  • To utilize unstable manifold data for identifying folding points and homoclinic tangencies.
  • To demonstrate the applicability of the method to well-known chaotic maps.

Main Methods:

  • The method relies solely on data from the unstable manifold.
  • Partition boundaries are identified by examining folding points at various levels.
  • These folding points are shown to coincide with homoclinic tangencies.
  • The technique is applied to the two-dimensional Hénon map and a three-dimensional map.

Main Results:

  • The method successfully located partition boundaries in both the Hénon map and the three-dimensional map.
  • Comparison with previous results for the Hénon map showed good agreement.
  • Lyapunov exponents were computed using metric entropy derived from the new partition.
  • These computations confirmed the validity and accuracy of the proposed scheme.

Conclusions:

  • The proposed method provides an effective way to determine partition boundaries in dynamical systems using unstable manifold data.
  • The coincidence with homoclinic tangencies and successful application to known maps validate the approach.
  • This technique offers a reliable tool for chaos analysis and computation of dynamical invariants like Lyapunov exponents.