The proper formula for relative entropy and its asymptotics in quantum probability

Abstract

Umegaki's relative entropyS(ω,ϕ)=TrD ω(logD ω−logD ϕ) (of states ω and ϕ with density operatorsD ω andD ϕ, respectively) is shown to be an asymptotic exponent considered from the quantum hypothesis testing viewpoint. It is also proved that some other versions of the relative entropy give rise to the same asymptotics as Umegaki's one. As a byproduct, the inequality TrA logAB ≧TrA(logA+logB) is obtained for positive definite matricesA andB.

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Communicated by H. Araki

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Hiai, F., Petz, D. The proper formula for relative entropy and its asymptotics in quantum probability. Commun.Math. Phys. 143, 99–114 (1991). https://doi.org/10.1007/BF02100287

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Keywords

  • Entropy
  • Neural Network
  • Statistical Physic
  • Complex System
  • Nonlinear Dynamics