arXiv · 2201.08083
Classifying basins of attraction using the basin entropy
Abstract
A basin of attraction represents the set of initial conditions leading to a specific asymptotic state of a given dynamical system. Here, we provide a classification of the most common basins found in nonlinear dynamics with the help of the basin entropy. We have also found interesting connections between the basin entropy and other measures used to characterize the unpredictability associated to the basins of attraction, such as the uncertainty exponent, the lacunarity or other different parameters related to the Wada property.
Explore related subjects
Keep this discovery
Alvar Daza, Alexandre Wagemakers, Miguel A. F. Sanjuán. 2022-01-20. Classifying basins of attraction using the basin entropy. https://doi.org/10.1016/j.chaos.2022.112112
Cite the original work for its findings. Save a collection to share your selection of sources.