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arxiv: 1608.08671 · v1 · pith:5O2QIGOJnew · submitted 2016-08-30 · 🧮 math.PR

An inequality for expectation of means of positive random variables

classification 🧮 math.PR
keywords inequalitymeanholdsmeanspositiveproverandomcase
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Suppose that $X,Y$ are positive random variable and $m$ a numerical (commutative) mean. We prove that the inequality ${\rm E} (m(X,Y)) \leq m({\rm E} (X), {\rm E} (Y))$ holds if and only if the mean is generated by a concave function. With due changes we also prove that the same inequality holds for all operator means in the Kubo-Ando setting. The case of the harmonic mean was proved by C.R. Rao and B.L.S. Prakasa Rao.

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