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Non-additive Entropy Formulas: Motivation and Derivations

This Special Issue reprint includes contributions about using generalized entropy in describing statistical phenomena, principally in physics, as well as interpretations and motivations for one or another type of generalizing Boltzmann’s classical (logarirthmic) entropy formula.

保存先:
フォーマット: Online
言語:英語
出版事項: MDPI - Multidisciplinary Digital Publishing Institute 2024
主題:
information shift
Tsallis entropy
Chebyshev maps
fine structure constant
generalized entropies
generalized logarithms
duality relations
entropy optimization
Sq entropies
entropy
finite heat-bath
superstatistics
nonlinearity
Rényi mutual information
Tsallis mutual information
EKC hypothesis
non-additive entropy
Tsallis distribution
multiparticle production processes
S-theorem
q-renormalized entropy
complexity measures
logistic map
micro-canonical ensemble
Sq non-additive entropies
indoor biosafety
infection risk estimation
COVID-19
SEI dynamics
indoor-space epidemiology
h-derivative
Sh,h′-entropy
fractal derivatives
fractional derivatives
fractional differential equations
q-calculus
nonextensive statistics
nonlinear Fokker–Planck equations
nonextensive thermostatistics
n/a
thema EDItEUR::P Mathematics and Science::PB Mathematics::PBW Applied mathematics
オンライン･アクセス:ONIX_20240514_9783036599274_31
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要約:This Special Issue reprint includes contributions about using generalized entropy in describing statistical phenomena, principally in physics, as well as interpretations and motivations for one or another type of generalizing Boltzmann’s classical (logarirthmic) entropy formula.

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