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Central limit behavior at the edge of chaos in the z-logistic map

Abbas Ali Saberi1,2,3,*, Ugur Tirnakli4,5,†, and Constantino Tsallis6,7,8,‡

  • *Contact author: asaberi@constructor.university
  • †Contact author: ugur.tirnakli@ieu.edu.tr
  • ‡Contact author: tsallis@cbpf.br

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 z-logistic map xt+1=1−a|xt|z(z≥1). We show that sums of iterates converge to q-Gaussian distributions Pq(y)=Pq(0)expq(−βqy2)=Pq(0)[1+(q−1)βqy2]1/(1−q)(q≥1;βq>0), which optimize the nonadditive entropic functional Sq under simple constraints. We propose and justify heuristically a closed-form prediction for the entropic index, q(z)=1+2/(z+1), and validate it numerically via data collapse for typical z values. The formula captures how the limiting law depends on the nonlinearity order and implies finite variance for z>2 and divergent variance for 1≤z≤2. These results extend edge-of-chaos central limit behavior beyond the standard (z=2) case and provide a simple predictive law for unimodal maps with varying maximum order.

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