Repository logo

Symmetric polynomials in information theory: Entropy and subentropy

Change log


Jozsa, R 
Mitchison, G 


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>



5108 Quantum Physics, 49 Mathematical Sciences, 51 Physical Sciences

Journal Title

Journal of Mathematical Physics

Conference Name

Journal ISSN


Volume Title



AIP Publishing