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Applied Dynamics Seminar| Miguel Sanjun, King Juan Carlos University
Thursday, September 21, 2017
12:30 p.m.
ERF 1207
For More Information:
Taylor Prendergast
301 405 4951
tprender@umd.edu

Speaker: Miguel Sanjuán

Sperker's Institution: King Juan Carlos University| Department of Physics

Title: Basin Entropy: A Measure of the Final State Unpredictability and Applications to Some Physical Systems

Abstract: In nonlinear dynamics, basins of attraction link a given set of initial conditions to its corresponding final states. This notion appears in a broad range of applications where several outcomes are possible, which is a common situation in neuroscience, economy, astronomy, ecology and many other disciplines. Depending on the nature of the basins, prediction can be difficult even in systems that evolve under deterministic rules. From this respect, a proper classification of this unpredictability is clearly required. To address this issue, we introduce the basin entropy, a measure to quantify this uncertainty. Its application is illustrated with several paradigmatic examples that allow us to identify the ingredients that hinder the prediction of the final state. The basin entropy provides an efficient method to probe the behavior of a system when different parameters are varied.Additionally, we provide a sufficient condition for the existence of fractal basin boundaries: when the basin entropy of the boundaries is larger than log 2, the basin is fractal. These ideas have been applied to some physical systems such as experiments of chaotic scattering of cold atoms, models of shadows of binary black holes, and classical and relativistic chaotic scattering associated to the Hénon-Heiles Hamiltonian system in astrophysics.

This Event is For: Clark School • Graduate • Undergraduate • Faculty • Staff • Post-Docs

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