Riddled basins of chaotic synchronization and unstable dimension variability in coupled Lorenz-like systems
Bruno M Czajkowski1, Ricardo L Viana1,2
1Departamento de Física, Universidade Federal do Paraná, 81531-990 Curitiba, Paraná, Brazil.
Chaos (Woodbury, N.Y.)
|September 6, 2024
Summary
Unstable dimension variability in coupled chaotic systems creates riddled basins of attraction. A random-walk model accurately predicts scaling exponents near blowout bifurcations, confirming this non-hyperbolic behavior.
Area of Science:
- Nonlinear Dynamics
- Chaos Theory
- Complex Systems
Background:
- Unstable dimension variability (UDV) is a non-hyperbolic behavior causing shadowing breakdown in chaotic systems.
- Symmetries in coupled chaotic systems can lead to invariant attractors with riddled basins of attraction.
- Riddled basins are characterized by mathematical conditions and power-law scaling of parameters.
Purpose of the Study:
- Investigate unstable dimension variability in coupled Lorenz-like systems.
- Analyze the properties of synchronized and anti-synchronized states and their basins of attraction.
- Validate a biased random-walk model for predicting scaling exponents.
Main Methods:
- Coupling two Lorenz-like chaotic systems.
- Analyzing synchronized and anti-synchronized states and their basins of attraction.
- Calculating finite-time Lyapunov exponents in transversal directions.
Main Results:
- Demonstrated that the coupled Lorenz-like systems exhibit riddled basins of attraction.
- Confirmed the existence of riddled basins by verifying mathematical conditions and scaling laws.
- Showed that a biased random-walk model accurately predicts scaling exponents near blowout bifurcations.
Conclusions:
- The study confirms unstable dimension variability in coupled chaotic systems.
- Riddled basins of attraction are a key feature of this phenomenon.
- The biased random-walk model provides an effective tool for analyzing high-dimensional chaotic systems.
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