Tsallis entropy

E7558

Tsallis entropy is a generalized, nonadditive entropy measure in statistical mechanics and information theory that extends Shannon entropy to better describe complex, nonextensive systems.


Statements (48)
Predicate Object
instanceOf concept in information theory
concept in statistical mechanics
entropy measure
generalized entropy
nonadditive entropy
aimsToDescribe systems far from equilibrium
systems with power-law distributions
appliesTo complex systems
multifractal systems
nonextensive systems
systems with long-range interactions
systems with long-term memory
category information-theoretic measure
statistical physics concept
characteristic nonadditivity
q-parameter dependence
contrastWith Boltzmann–Gibbs entropy
domain probability distributions
field information theory
statistical mechanics
thermodynamics of complex systems
generalizes Shannon entropy
hasMathematicalForm S_q = (1 - \sum_i p_i^q) / (q - 1)
hasParameter entropic index q
introducedBy Constantino Tsallis
introducedIn 1988
motivatedBy limitations of Boltzmann–Gibbs statistics for complex systems
namedAfter Constantino Tsallis
property Lesche-stable for certain q ranges
concave for appropriate q ranges
publishedIn Journal of Statistical Physics
reducesTo Shannon entropy when q → 1
relatedConcept Rényi entropy
nonextensive statistical mechanics
q-Gaussian distribution
q-exponential distribution
satisfies generalized H-theorem in nonextensive framework
usedFor maximum entropy principle with q-constraints
modeling heavy-tailed distributions
robust statistics in presence of outliers
usedIn anomalous diffusion modeling
complex networks analysis
econophysics
generalized thermostatistics
image processing
machine learning
nonextensive statistical mechanics
turbulence studies


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