Chaos edges of $z$-logistic maps: Connection between the relaxation and sensitivity entropic indices
Ugur Tirnakli, Constantino Tsallis

TL;DR
This paper investigates the chaos thresholds of $z$-logistic maps, verifying a generalized entropy identity, exploring the connection between sensitivity and relaxation indices, and discovering new scaling relations across different cycles.
Contribution
It provides the first numerical verification of a generalized Pesin-like identity for $z$-logistic maps and uncovers novel scaling laws linking sensitivity and relaxation indices.
Findings
Verified nonextensive entropy identity at chaos thresholds.
Discovered a quantitative relation between sensitivity and relaxation indices.
Identified new cycle-dependent scaling behavior of entropic indices.
Abstract
Chaos thresholds of the -logistic maps are numerically analysed at accumulation points of cycles 2, 3 and 5. We verify that the nonextensive -generalization of a Pesin-like identity is preserved through averaging over the entire phase space. More precisely, we computationally verify , where the entropy (), the sensitivity to the initial conditions , and (). The entropic index , and the coefficient depend on both and the cycle. We also study the relaxation that occurs if we start with an…
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