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Periodic orbit analysis of a system with continuous symmetry--A tutorial
Nazmi Burak Budanur1, Daniel Borrero-Echeverry1, Predrag Cvitanović1
1School of Physics and Center for Nonlinear Science, Georgia Institute of Technology, Atlanta, Georgia 30332, USA.
This study explores symmetry reduction techniques for chaotic dynamical systems, particularly those in fluid dynamics. It demonstrates how to analyze complex systems by simplifying them to unimodal maps for orbit determination and average computation.
Area of Science:
- Applied Mathematics
- Chaos Theory
- Fluid Dynamics
Background:
- Dynamical systems with continuous symmetries (translational/rotational) are common in physics, e.g., Navier-Stokes flows.
- Analyzing these systems often involves Fourier series truncation and symmetry reduction.
- A 4D model with SO(2) symmetry, relevant to fluid dynamics, is used for illustration.
Purpose of the Study:
- To illustrate and compare different symmetry-reduction techniques for chaotic dynamical systems.
- To analyze the chaotic dynamics of a model system with SO(2) symmetry.
- To systematically determine relative periodic orbits and compute dynamical averages.
Main Methods:
- Symmetry reduction using a symmetry-invariant polynomial basis for relative equilibria.
- Application of the 'method of slices' for analyzing chaotic dynamics in high-dimensional systems.
- Poincaré sections on slices to reduce the flow to a unimodal map for orbit analysis.
Main Results:
- Demonstrated effective symmetry reduction for analyzing chaotic dynamics.
- Systematically determined relative periodic orbits and their symbolic dynamics.
- Presented cycle averaging formulas for computing dynamical averages in systems with continuous symmetry.
Conclusions:
- The 'method of slices' combined with Poincaré sections is a powerful tool for analyzing chaotic dynamics and determining periodic orbits.
- Cycle averaging formulas provide a method for computing dynamical averages using relative periodic orbits.
- The study offers a systematic approach to understanding complex dynamical systems with continuous symmetry.
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