Several inequalities have been established in the context of Hilbert spaces operators or operator algebras. Our discussion will be limited to matrices. Important inequalities in mathematics and other sciences, such as Golden-Thompson inequality or von Neumann trace inequality, and extensions, are revisited. Our main goal is to emphasize the link between majorization theory and other relevant inequalities.Portuguese Foundation for Science and Technology (FCT-Fundação para a Ciência e a Tecnologia), Centre for Mathematics of the University of Coimbra (CMUC), Center for Research and Development in Mathematics and Applications (CIDMA) , CMAT-UTADpublishe
The purpose of this paper is two-fold: we present some matrix inequalities of log majorization type ...
We show some majorization inequalities and apply them to derive norm, eigenvalue, singular value, an...
AbstractWe obtain a majorization inequality which relates the singular values of a complex square ma...
An eigenvalue inequality involving a matrix connection and its dual is established, and some log-maj...
© 2017, Springer International Publishing. We show that recent multivariate generalizations of the A...
AbstractAndo and Hiai have obtained many excellent log majorization results for power means of posit...
In this paper we state some log-majorization results for matrices and their applications to matrix n...
We first show a weak log-majorization inequality of singular values for partitioned positive semidef...
We first show a weak log-majorization inequality of singular values for partitioned positive semidef...
AbstractWe show some majorization inequalities and apply them to derive norm, eigenvalue, singular v...
AbstractA capital letter means n×n matrix. T is said to be positive definite (denoted by T>0) if T i...
AbstractWe show some majorization inequalities and apply them to derive norm, eigenvalue, singular v...
Inequalities have been a major mathematical research area. They have various applications in pure an...
AbstractWe obtain a log majorization result for power means of positive semidefinite matrices. This ...
We show some majorization inequalities and apply them to derive norm, eigenvalue, singular value, an...
The purpose of this paper is two-fold: we present some matrix inequalities of log majorization type ...
We show some majorization inequalities and apply them to derive norm, eigenvalue, singular value, an...
AbstractWe obtain a majorization inequality which relates the singular values of a complex square ma...
An eigenvalue inequality involving a matrix connection and its dual is established, and some log-maj...
© 2017, Springer International Publishing. We show that recent multivariate generalizations of the A...
AbstractAndo and Hiai have obtained many excellent log majorization results for power means of posit...
In this paper we state some log-majorization results for matrices and their applications to matrix n...
We first show a weak log-majorization inequality of singular values for partitioned positive semidef...
We first show a weak log-majorization inequality of singular values for partitioned positive semidef...
AbstractWe show some majorization inequalities and apply them to derive norm, eigenvalue, singular v...
AbstractA capital letter means n×n matrix. T is said to be positive definite (denoted by T>0) if T i...
AbstractWe show some majorization inequalities and apply them to derive norm, eigenvalue, singular v...
Inequalities have been a major mathematical research area. They have various applications in pure an...
AbstractWe obtain a log majorization result for power means of positive semidefinite matrices. This ...
We show some majorization inequalities and apply them to derive norm, eigenvalue, singular value, an...
The purpose of this paper is two-fold: we present some matrix inequalities of log majorization type ...
We show some majorization inequalities and apply them to derive norm, eigenvalue, singular value, an...
AbstractWe obtain a majorization inequality which relates the singular values of a complex square ma...