2021
DOI: 10.1016/j.physd.2020.132816
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The Shannon entropy: An efficient indicator of dynamical stability

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Cited by 45 publications
(30 citation statements)
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“…The ciphertext with a higher Shannon Entropy value will be more statistically difficult to decompose by an attacker. The value was calculated in reference to previous studies [55]- [58]:…”
Section: B Security Comparisonmentioning
confidence: 99%
“…The ciphertext with a higher Shannon Entropy value will be more statistically difficult to decompose by an attacker. The value was calculated in reference to previous studies [55]- [58]:…”
Section: B Security Comparisonmentioning
confidence: 99%
“…The Shannon entropy thus serves as an efficient tool to quantify stability, but its greatest benefit is that the direct estimation of the diffusion coefficient of the chaotic diffusion is also feasible. Following Cincotta et al (2021a) and Cincotta et al (2021b), the local diffusion coefficient for the trajectory in the interval ( , + ) is given by…”
Section: The Shannon Entropy Formalismmentioning
confidence: 99%
“…These early applications of the entropy were limited to discrete dynamical maps of low dimensions, whereas the first application to a more complex, planetary-type problem was presented in Beaugé & Cincotta (2019) where the dynamics of the planar restricted three-body problem (3BP) was investigated in the vicinity of first-order mean-motion resonances. Later, Cincotta et al (2021a) and Cincotta et al (2021b) studied the planar (non-restricted) 3BP, more specifically, they have chosen the HD 20003 and HD 181433 exoplanetary systems, respectively, to test the sensitivity of the Shannon entropy formalism on real systems. In the present paper, we extend the use of the Shannon entropy to the planar (non-restricted) four-body problem (4BP) via performing a dynamical analysis of the Kepler-60 three-planet extrasolar system.…”
Section: Introductionmentioning
confidence: 99%
“…The events with low probability are generally had more surprising packages and information than the events with high probability because high-probability events are common in nature. The method used to calculate the amount of information that a random variable may possess is named Shannon information [1] and later on called entropy [2]. Clausius initially introduced entropy in the late nineteenth century by studying the dish gas disorder problem and quantifying the disorder produced by the gas through a measure named entropy [3].…”
Section: Introductionmentioning
confidence: 99%
“…where V is the variable that takes values " v " from the universal set V , and F is the fuzzy set on V that represents vague predicate. If v is any particular value of V , it is said to belong to the fuzzy group with membership grade F(v) , the degree of truth, and T(p) of the proposition is used in (1).…”
Section: Introductionmentioning
confidence: 99%