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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Classical and quantum features of Schur transform for information processing
Classical and quantum features of Schur transform for information processingAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact INI IT. MQIW05 - Beyond I.I.D. in information theory It is well-known that Gaussian random variables have many attractive properties: they are maximum entropy, they are stable under addition and scaling, they give equality in the Entropy Power Inequality (and hence give sharp log-Sobolev inequalities) and have good entropy concavity properties. I will discuss the extent to which results of this kind can be formulated for discrete random variables, and how they relate to ideas of discrete log-concavity. This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:
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