Uncertainty as to Whether or Not a System Has a Chaotic Attrctor

Attracting chaotic behaviour in dynamical systems is often sensitive to small changes in parameters. If a perturbation in the parameter by a tiny amount  epsilon can change the asymptoti behaviour of the system from being chaotic to being periodic, we call it parameter value epsilon-uncertain. Here, using a self-similar model of the intricate, intertwined parameter-space structure of the chaotic and periodic attractors, we investigate the scaling of this uncertainty with epsilon. We show that as epsilon approaches 0, the great majority of epsilon-uncertain parameters lie in high order windows, that is, windows within windows within windows .... The expected value of the order of the highest order window containing this parameter approaches infinity as epsilon goes to zero.