Zoltan Leka
Published 2016-01-04Version 1
We prove that symmetric norms on the space of bounded centered random variables, defined on uniform discrete spaces, have the strong Leibniz property. As an application, we shall obtain that the pth central seminorms on arbitrary probability spaces are strongly Leibniz.
Symmetric norms and reverse inequalities to Davis and Hansen-Pedersen characterizations of operator convexity
A concavity inequality for symmetric norms
A matrix subadditivity inequality for symmetric norms
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