It has been recently argued that the MaxEnt variational problem would not adequately work for Renyi's and Tsallis’ entropies. We constructively show here that this is not so if one formulates the associated variational ...

Entropy is a fundamental concept from thermodynamics, and it can be used to study models in the context of the creation cold dark matter. A general feature of these models is that thermodynamic equilibrium is reached at ...

We present a quantum version of the generalized (h, ϕ) -entropies, introduced by Salicrú et al. for the study of classical probability distributions. We establish their basic properties and show that already known quantum ...

We derive a general approximate solution to the problem of minimizing the conditional entropy of a qudit-qubit system resulting from a local measurement on the qubit, which is valid for general entropic forms and becomes ...

Convergence properties of Shannon Entropy are studied. In the di erential setting, it is known that weak convergence of probability measures (convergence in distribution) is not enough for convergence of the associated ...

This paper compares the effectiveness of the Tsallis entropy over the classic Boltzmann-Gibbs-Shannon entropy for general pattern recognition, and proposes a multi-q approach to improve pattern analysis using entropy. A ...