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Alexandru Nica - Some minimization problems for the free analogue of the Fisher information
ALEXANDRU NICA, Department of Pure Mathematics, University of Waterloo, Waterloo, Ontario N2L 3G1, Canada |
Some minimization problems for the free analogue of the Fisher information |
We consider the free non-commutative analogue
,
introduced
by D. Voiculescu, of the concept of Fisher information for random
variables. We determine the minimal possible value of
, if a is a non-commutative random variable subject to
the constraint that the distribution of
is prescribed.
More
generally, we obtain the minimal possible value of
, if
is
a family of non-commutative random variables such that the
distribution
of
is prescribed, where A is the matrix
(aij)i,j=1d. The
-generalization is obtained
from the case d=1 via a result of independent interest, concerning
the minimal value of
when the matrix
A = (aij)i,j=1d and its adjoint have a
given
joint distribution. (A version of this result describes the minimal
value of
when the matrix
B =
(bij)i,j=1d is selfadjoint and has a given distribution.)
We then show how the minimization results obtained for
lead to maximization results concerning the free entropy
,
also defined by Voiculescu.
This is joint work with Dimitri Shlyakhtenko and Roland Speicher.



Next: John Phillips - Spectral Up: Operator Algebras / Algèbres Previous: Michael Lamoureux - Crossed