7 research outputs found
Gruss inequality for some types of positive linear maps
Assuming a unitarily invariant norm is given on a two-sided
ideal of bounded linear operators acting on a separable Hilbert space, it
induces some unitarily invariant norms on matrix algebras
for all finite values of via . We
show that if is a -algebra of finite dimension and
is a unital completely positive map, then
\begin{equation*} |||\Phi(AB)-\Phi(A)\Phi(B)||| \leq \frac{1}{4}
|||I_{n}|||\,|||I_{kn}||| d_A d_B \end{equation*} for any , where denotes the diameter of the unitary orbit \{UXU^*: U
\mbox{ is unitary}\} of and stands for the identity of
. Further we get an analogous inequality for certain
-positive maps in the setting of full matrix algebras by using some matrix
tricks. We also give a Gr\"uss operator inequality in the setting of
-algebras of arbitrary dimension and apply it to some inequalities
involving continuous fields of operators.Comment: 17 pages, to appear in J. Operator Theory (JOT
Eigenvalue extensions of Bohr's inequality
We present a weak majorization inequality and apply it to prove eigenvalue
and unitarily invariant norm extensions of a version of the Bohr's inequality
due to Vasi\'c and Ke\v{c}ki\'c.Comment: 8 pages, to appear in Linear Algebra App
Non-commutative Callebaut inequality
We present an operator version of the Callebaut inequality involving the
interpolation paths and apply it to the weighted operator geometric means. We
also establish a matrix version of the Callebaut inequality and as a
consequence obtain an inequality including the Hadamard product of matrices.Comment: 10 pages; to appear in Linear Algebra Appl. (LAA
Some inequalities for unitarily invariant norm
AbstractWe shall prove the inequalities|||(A+B)(A+B)∗|||⩽|||AA∗+BB∗+2AB∗|||⩽|||(A-B)(A-B)∗+4AB∗|||for all n×n complex matrices A,B and all unitarily invariant norms ∣∣∣·∣∣∣. If further A,B are positive definite it is proved that∏j=1kλj(A♯αB)⩽∏j=1kλj(A1-αBα),1⩽k⩽n,0⩽α⩽1,where ♯α denotes the operator means considered by Kubo and Ando and λj(X), 1⩽j⩽n, denote the eigenvalues of X arranged in the decreasing order whenever these all are real. A number of inequalities are obtained as applications