2023
DOI: 10.1016/j.chaos.2022.113040
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Revisiting the dynamic of q-deformed logistic maps

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Cited by 2 publications
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“…A best value of α is 3.666 ≤ α ≤ 4 as in Figure 1. Another way in which the behaviour of a logistic map can be determined is through computing the Lyapunov exponent [9], which measures the rate of divergence of nearby trajectories in the logistic map. A logistic map is sensitive to the initial conditions and displays chaotic behaviour when the Lyapunov exponent is positive.…”
Section: Logistic Mapmentioning
confidence: 99%
“…A best value of α is 3.666 ≤ α ≤ 4 as in Figure 1. Another way in which the behaviour of a logistic map can be determined is through computing the Lyapunov exponent [9], which measures the rate of divergence of nearby trajectories in the logistic map. A logistic map is sensitive to the initial conditions and displays chaotic behaviour when the Lyapunov exponent is positive.…”
Section: Logistic Mapmentioning
confidence: 99%