Structure, size, and statistical properties of chaotic components in a mixed-type Hamiltonian system
\v{C}rt Lozej, Marko Robnik

TL;DR
This paper investigates the structure, size, and statistical properties of chaotic regions in a family of billiard systems, revealing insights into fractal boundaries, stickiness, and chaotic measures through numerical analysis.
Contribution
It provides a detailed quantitative analysis of chaotic components in mixed-type Hamiltonian systems, including fractal dimensions, recurrence times, and measures of chaos, with comparisons to a random motion model.
Findings
Fractal dimension of chaotic borders varies with billiard shape.
Cell recurrence times effectively quantify phase space stickiness.
Chaotic measure estimates are consistent across different methods.
Abstract
We perform a detailed study of the chaotic component in mixed-type Hamiltonian systems on the example of a family of billiards [introduced by Robnik in J. Phys. A: Math. Gen. 16, 3971 (1983)]. The phase space is divided into a grid of cells and a chaotic orbit is iterated a large number of times. The structure of the chaotic component is discerned from the cells visited by the chaotic orbit. The fractal dimension of the border of the chaotic component for various values of the billiard shape parameter is determined with the box-counting method. The cell-filling dynamics is compared to a model of uncorrelated motion, the so-called random model [Robnik et al. J. Phys. A: Math. Gen. 30, L803 (1997)], and deviations attributed to sticky objects in the phase space are found. The statistics of the number of orbit visits to the cells is analyzed and found to be in agreement with the random…
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