Generalized Huberman-Rudnick scaling law and robustness of -Gaussian probability distributions
arXiv:1211.1838 · doi:10.1209/0295-5075/101/20003
Abstract
We generalize Huberman-Rudnick universal scaling law for all periodic windows of the logistic map and show the robustness of -Gaussian probability distributions in the vicinity of chaos threshold. Our scaling relation is universal for the self-similar windows of the map which exhibit period-doubling subharmonic bifurcations. Using this generalized scaling argument, for all periodic windows, as chaos threshold is approached, a developing convergence to -Gaussian is numerically obtained both in the central regions and tails of the probability distributions of sums of iterates.
13 pages, 3 figures
References in corpus (4)
- Central limit behavior of deterministic dynamical systems
- q-Deformed Statistical-Mechanical Property in the Dynamics of Trajectories en route to the Feigenbaum Attractor
- Nonextensivity at the edge of chaos of a new universality class of one-dimensional unimodal dissipative maps
- On the role of ergodicity and mixing in the central limit theorem for Casati-Prosen triangle map variables
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