Detecting Determinism in High Dimensional Chaotic Systems
Guillermo Ortega, Cristian Degli Esposti Boschi, Enrique Louis
Abstract
A method based upon the statistical evaluation of the differentiability of the measure along the trajectory is used to identify in high dimensional systems. The results show that the method is suitable for discriminating stochastic from deterministic systems even if the dimension of the latter is as high as 13. The method is shown to succeed in identifying determinism in electro-encephalogram signals simulated by means of a high dimensional system.
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