Maximum entropy principle for Renyi's and Tsallis' entropies
A.G.Bashkirov

TL;DR
This paper rederives the equilibrium probability distributions that maximize Renyi and Tsallis entropies, introducing new normalized forms that differ from traditional partition function-based forms.
Contribution
It presents novel S-forms of the maximum entropy distributions for Renyi and Tsallis entropies, normalized with their respective entropies.
Findings
New S-forms of equilibrium distributions derived
Distributions normalized with entropies instead of partition functions
Provides alternative formulations for non-extensive entropy maximization
Abstract
The equilibrium distributions of probabilities providing maximality of Renyi and Tsallis entropies are rederived. New S-forms of them are found which are normalised with corresponding entropies in contrast to the usual Z-forms normalised with partition functions.
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Taxonomy
TopicsStatistical Mechanics and Entropy · Statistical Distribution Estimation and Applications · Advanced Statistical Methods and Models
