Results 51 to 60 of about 369,022 (155)
Probing chaos in the spherical p-spin glass model
We study the dynamics of a quantum $p$-spin glass model starting from initial states defined in microcanonical shells, in a classical regime. We compute different chaos estimators, such as the Lyapunov exponent and the Kolmogorov-Sinai entropy, and find ...
Lorenzo Correale, Anatoli Polkovnikov, Marco Schirò, Alessandro Silva
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This study investigated the influences of dietary iron (Fe) levels on the growth performance, antioxidant capacity, Fe metabolism, muscle development, and mTOR signaling pathway in juvenile yellow catfish (Pelteobagrus fulvidraco) and quantified its optimal dietary Fe requirement.
Yuchen Zhou +6 more
wiley +1 more source
Entropy and Kolmogorov complexity
This thesis is dedicated to studying the theory of entropy and its relation to the Kolmogorov complexity. Originating in physics, the notion of entropy was introduced to mathematics by C. E.
Moriakov, N.V. (author)
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Linear growth of the entanglement entropy and the Kolmogorov-Sinai rate
The rate of entropy production in a classical dynamical system is characterized by the Kolmogorov-Sinai entropy rate h KS given by the sum of all positive Lyapunov exponents of the system.
Eugenio Bianchi +2 more
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Relative Chaoticity of Natural Languages
This paper presents a novel approach to analyzing and grouping natural languages based on the degree of their chaoticity. It clusters 52 languages from 18 language families, according to the value of the entropy–complexity pair, to reveal the chaotic properties of semantic trajectories.
Assel S. Yerbolova +6 more
wiley +1 more source
t-Entropy formulae for concrete classes of transfer operators
t-Entropy is a principal object of the spectral theory of operators, generated by dynamical systems, namely, weighted shift operators and transfer operators.
Krzysztof Bardadyn +3 more
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As the leading energy source, oil price volatility has crucial effects in energy markets, and geopolitical risks (GPRs) and economic policy uncertainties contribute to its volatility. Further, chaos, long‐range dependence, fractionality, and complexity significantly reduce modeling and forecast performances.
Özgür Ömer Ersin +2 more
wiley +1 more source
A scalable distribution network risk evaluation framework via symbolic dynamics. [PDF]
Evaluations of electric power distribution network risks must address the problems of incomplete information and changing dynamics. A risk evaluation framework should be adaptable to a specific situation and an evolving understanding of risk.This study ...
Kai Yuan +3 more
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Abstract Although the concept of thermodynamic entropy due to Clausius dates back to the early 1850s, the mathematical theory of informational entropy was not developed until the pioneering work of Shannon in 1948, the development of principle of maximum entropy (POME) and theorem of concentration by Jaynes in 1957, principle of minimum cross entropy ...
Vijay P. Singh
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Several approaches for estimating complexity in physiological time series at various time scales have recently been developed, with a special focus on heart rate variability (HRV) series.
Scarciglia, Andrea +3 more
core +1 more source

