On Classical Analogues of Free Entropy Dimension

dc.creatorGuionnet, A.
dc.creatorShlyakhtenko, D.
dc.date2007-01-16
dc.date.accessioned2026-07-07T07:41:30Z
dc.date.available2026-07-07T07:41:30Z
dc.descriptionWe define a classical probability analogue of Voiculescu's free entropy dimension that we shall call the classical probability entropy dimension of a probability measure on $\mathbb{R}^n$. We show that the classical probability entropy dimension of a measure is related with diverse other notions of dimension. First, it can be viewed as a kind of fractal dimension. Second, if one extends Bochner's inequalities to a measure by requiring that microstates around this measure asymptotically satisfy the classical Bochner's inequalities, then we show that the classical probability entropy dimension controls the rate of increase of optimal constants in Bochner's inequality for a measure regularized by convolution with the Gaussian law as the regularization is removed. We introduce a free analogue of the Bochner inequality and study the related free entropy dimension quantity. We show that it is greater or equal to the non-microstates free entropy dimension.
dc.identifierhttps://arxiv.org/abs/math/0701465
dc.identifierhttp://arxiv.org/abs/math/0701465
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/122132
dc.subjectProbability
dc.subjectOperator Algebras
dc.subject58J35; 46L54 ; 28A80
dc.titleOn Classical Analogues of Free Entropy Dimension
dc.typetext

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