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Symmetric polynomials in information theory: Entropy and subentropy


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Authors

Jozsa, R 
Mitchison, G 

Abstract

jats:pEntropy and other fundamental quantities of information theory are customarily expressed and manipulated as functions of probabilities. Here we study the entropy H and subentropy Q as functions of the elementary symmetric polynomials in the probabilities and reveal a series of remarkable properties. Derivatives of all orders are shown to satisfy a complete monotonicity property. H and Q themselves become multivariate Bernstein functions and we derive the density functions of their Levy-Khintchine representations. We also show that H and Q are Pick functions in each symmetric polynomial variable separately. Furthermore, we see that H and the intrinsically quantum informational quantity Q become surprisingly closely related in functional form, suggesting a special significance for the symmetric polynomials in quantum information theory. Using the symmetric polynomials, we also derive a series of further properties of H and Q.</jats:p>

Description

Keywords

5108 Quantum Physics, 49 Mathematical Sciences, 51 Physical Sciences

Journal Title

Journal of Mathematical Physics

Conference Name

Journal ISSN

0022-2488
1089-7658

Volume Title

56

Publisher

AIP Publishing