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Unstable dimension variability and heterodimensional cycles in the border-collision normal form
P A Glendinning1, D J W Simpson2
1Department of Mathematics, University of Manchester, Manchester M13 9PL, United Kingdom.
This study reveals complex dynamics in border-collision normal forms, specifically identifying heterodimensional cycles. These findings highlight unique phenomena possible due to varying unstable manifold dimensions in chaotic systems.
Area of Science:
- Nonlinear Dynamics
- Chaos Theory
- Bifurcation Theory
Background:
- Chaotic attractors often exhibit periodic solutions with unstable manifolds of varying dimensions.
- These complex dynamics are not observed in hyperbolic attractors.
- Border-collision bifurcations generate unique dynamical phenomena in diverse applications.
Purpose of the Study:
- To highlight the existence of complex dynamical phenomena in the border-collision normal form.
- To analyze the properties of continuous, piecewise-linear maps relevant to border-collision bifurcations.
- To investigate phenomena arising from differing unstable manifold dimensions.
Main Methods:
- Explicitly identifying parameter values for heterodimensional cycles.
- Analyzing a one-parameter subfamily to study unstable dimension variability.
- Utilizing fast and accurate computations of periodic solutions for analysis.
Main Results:
- Demonstrated the existence of heterodimensional cycles in the border-collision normal form.
- Argued that heterodimensional cycles can be dense in parameter space.
- Identified key bifurcations associated with unstable dimension variability.
Conclusions:
- The border-collision normal form provides a valuable testbed for studying complex dynamics.
- Piecewise-linear maps allow for relatively exact analysis of chaotic phenomena.
- Unstable dimension variability leads to a rich zoo of dynamical behaviors.
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