125 research outputs found
Monotonicity for entrywise functions of matrices
We characterize real functions on an interval for
which the entrywise matrix function is positive,
monotone and convex, respectively, in the positive semidefiniteness order.
Fractional power functions are exemplified and related weak majorizations are
shown.Comment: 23 pages; Section 6 is considerably improve
Matrix limit theorems of Kato type related to positive linear maps and operator means
We obtain limit theorems for and as
for positive matrices , where is a positive linear map
between matrix algebras (in particular, ) and is an
operator mean (in particular, the weighted geometric mean), which are
considered as certain reciprocal Lie-Trotter formulas and also a generalization
of Kato's limit to the supremum with respect to the spectral order.Comment: 23 page
Quantum -divergences in von Neumann algebras II. Maximal -divergences
As a continuation of the paper [20] on standard -divergences, we make a
systematic study of maximal -divergences in general von Neumann algebras.
For maximal -divergences, apart from their definition based on Haagerup's
-space, we present the general integral expression and the variational
expression in terms of reverse tests. From these definition and expressions we
prove important properties of maximal -divergences, for instance, the
monotonicity inequality, the joint convexity, the lower semicontinuity, and the
martingale convergence. The inequality between the standard and the maximal
-divergences is also given.Comment: 38 page
A generalization of Araki's log-majorization
We generalize Araki's log-majorization to the log-convexity theorem for the
eigenvalues of as a function of
, where are positive semidefinite matrices and are
positive linear maps between matrix algebras. A similar generalization of the
log-majorization of Ando-Hiai type is given as well.Comment: 16 pages, the last section is expande
Operator means deformed by a fixed point method
By means of a fixed point method we discuss the deformation of operator means
and multivariate means of positive definite matrices/operators. It is shown
that the deformation of an operator mean becomes again an operator mean. The
means deformed by the weighted power means are particularly examined.Comment: 35 page
Operator -tone functions and analytic functional calculus
Operator -tone functions on an open interval of the real line, which are
higher order extensions of operator monotone and convex functions, are
characterized via certain inequalities for the real and imaginary parts of
analytic functional calculus by those functions.Comment: 19 page
Quantum -divergences in von Neumann algebras I. Standard -divergences
We make a systematic study of standard -divergences in general von Neumann
algebras. An important ingredient of our study is to extend Kosaki's
variational expression of the relative entropy to an arbitary standard
-divergence, from which most of the important properties of standard
-divergences follow immediately. In a similar manner we give a comprehensive
exposition on the R\'enyi divergence in von Neumann algebra. Some results on
relative hamiltonians formerly studied by Araki and Donald are improved as a
by-product.Comment: 33 page
Concavity of certain matrix trace and norm functions. II
We refine Epstein's method to prove joint concavity/convexity of matrix trace
functions of Lieb type
and symmetric (anti-)
norm functions of the form , where
and are positive linear maps, is an operator mean, and
with a certain power is an operator monotone function on
. Moreover, the variational method of Carlen, Frank and Lieb is
extended to general non-decreasing convex/concave functions on so
that we prove joint concavity/convexity of more trace functions of Lieb type.Comment: 28 pages, a number of minor changes, Lemma A.3 adde
A log-Sobolev type inequality for free entropy of two projections
We prove an inequality between the free entropy and the mutual free Fisher
information for two projections, regarded as a free analog of the logarithmic
Sobolev inequality. The proof is based on the random matrix approximation
procedure via the Grassmannian random matrix model of two projections.Comment: The assumption of the main theorem is improve
Conic structure of the non-negative operator convex functions on
The conic structure of the convex cone of non-negative operator convex
functions on (also on ) is clarified. We completely
determine the extreme rays, the closed faces, and the simplicial closed faces
of this convex cone.Comment: 18 page
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