Computational modeling reveals Gaussian distribution in particle positions for a bouncer system, suggesting complex geometries mimic random behavior.
The horizontal dynamics of a bouncing ball interacting with an irregular surface are investigated and are found to demonstrate behavior analogous to a random walk. Its stochastic character is substantiated by the calculation of a permutation entropy. The probability density function associated with the particle positions evolves to a Gaussian distribution, and the second moment follows a power-law dependence on time, indicative of diffusive behavior. The results emphasize that deterministic systems with complex geometries or nonlinearities can generate behavior that is statistically indistinguishable from random. Several problems are suggested to extend the analysis.
No takes yet. Share an insight, caveat, or question.
Luiz Antonio Barreiro (2025) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: