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The analogues of entropy and of Fisher's information measure in free probability theory

The analogues of entropy and of Fisher's information measure in free probability theory. II
Authors: Voiculescu, Dan;

The analogues of entropy and of Fisher's information measure in free probability theory

Abstract

In Part I [Commun. Math. Phys. 155, No. 1, 71-92 (1993; Zbl 0781.60006)] we studied the free entropy \(\Sigma(X)\) of a self-adjoint random variable \(X\) equal to minus the logarithmic energy of its distribution. We also introduced a generalization \(\Sigma(X_ 1,\dots, X_ n)\) which, however, does not have the necessary properties for \(n \geq 2\) to represent the joint free entropy of \(X_ 1, \dots, X_ n\) though it has another natural interpretation. Here we take another route based on the volumes of sets of matrix approximants. This can be interpreted as a normalized limit of the logarithm of the statistical weight of approximating microstates -- i.e. is in tune with Boltzmann's original point of view. We obtain a quantity \(\chi (X_ 1, \dots, X_ n)\) which appears to have the right properties. For \(n = 1\), \(\chi(X)\) and \(\Sigma(X)\) coincide (up to an additive constant). We will therefore call \(\chi(X_ 1, \dots, X_ n)\) the free entropy of \((X_ 1, \dots, X_ n)\) (we will call \(\Sigma(X_ 1,\dots, X_ n)\) the orbital weight). For free random variables, \(\chi(X_ 1, \dots, X_ n) = \chi(X_ 1) + \cdots + \chi(X_ n)\). Moreover, \(\chi(X_ 1, \dots, X_ n)\) has the right transformation properties with respect to noncommutative functional calculus. We also introduce another quantity: the free entropy dimension \(\delta(X_ 1,\dots,X_ n)\). The relation of \(\delta\) to \(\chi\) is similar to the relation in geometric measure theory of Minkowski dimension to Lebesgue measure. For an \(n\)-tuple of free selfadjoint random variables we explicitly compute \(\delta (X_ 1,\dots, X_ n)\) and it is interesting to note that this coincides, in case they generate a \(\Pi_ 1\)-factor with its ``free dimension'' parameter in [\textit{K. Dykema}, Duke Math. J. 69, No. 1, 97-119 (1993; Zbl 0784.46044)]. Another result we obtain is, roughly stated, that: If a \(\Pi_ 1\) factor is generated by \(n\) self-adjoint elements \(X_ 1, \dots, X_ n\) and there is also a semicircular system of self-adjoint generators \(Y_ 1, \dots, Y_ m\) which are ``smooth noncommutative functions of \(X_ 1, \dots, X_ n\)'', then \(n \geq m\). Of course, replacing ``smooth'' by ``\(L^ \infty\)'' in the above statement corresponds to the isomorphism problem for the free group factors.

Country
Germany
Related Organizations
Keywords

logarithmic energy, Mathematics(all), Measures of information, entropy, Fisher information measure, 94A17, Foundations of probability theory, noncommutative functional calculus, Article, 81S25, monotonicity properties, 510.mathematics, Cramér-Rao inequality, 46L50, free entropy dimension, free group factors, statistical weight of approximating microstates

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
285
Top 1%
Top 0.1%
Top 10%
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hybrid