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Central limit behavior at the edge of chaos in the -logistic map
Phys. Rev. E 112, 064209 – Published 9 December, 2025
DOI: https://doi.org/10.1103/gtlz-67cf
Abstract
We focus on the Feigenbaum-Coullet-Tresser point of the dissipative one-dimensional -logistic map . We show that sums of iterates converge to -Gaussian distributions , which optimize the nonadditive entropic functional under simple constraints. We propose and justify heuristically a closed-form prediction for the entropic index, , and validate it numerically via data collapse for typical values. The formula captures how the limiting law depends on the nonlinearity order and implies finite variance for and divergent variance for . These results extend edge-of-chaos central limit behavior beyond the standard () case and provide a simple predictive law for unimodal maps with varying maximum order.
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