AbstractLet Rn denote the convex, compact set of all real n-by-n positive semidefinite matrices with main-diagonal entries equal to 1. We examine the extreme points of Rn focusing mainly on their rank. the principal result is that Rn contains extreme points of rank k if and only if k(k+1)⩽2n
We make some observations concerning the set C*n of real nonnegative, symmetric and diagonally domin...
Let E[lowered n] be the set of all nxn doubly stochastic positive semidefinite matrices. Then E[lowe...
A real symmetric matrix M is completely positive semidefinite if it admits a Gram representation by ...
AbstractLet Rn denote the convex, compact set of all real n-by-n positive semidefinite matrices with...
AbstractWe give a characterization for the extreme points of the convex set of correlation matrices ...
[[abstract]]An $n \times n$ complex Hermitian or real symmetric matrix is a correlation matrix if it...
AbstractLet Kn be the convex set of n×n positive semidefinite doubly stochastic matrices. We show th...
AbstractWe give a characterization for the extreme points of the convex set of correlation matrices ...
AbstractLet Kn denote the closed convex set of all n-by-n positive semidefinite doubly stochastic ma...
A complete and simple parametrization of the set of extremal elements in the convex set of all corre...
AbstractLet Kn denote the closed convex set of all n-by-n positive semidefinite doubly stochastic ma...
A real symmetric matrix M is completely positive semidefinite if it admits a Gram representation by ...
AbstractWe are here concerned with the following problem: Describe the extremals of the convex cone ...
AbstractThis paper presents results about positive definite doubly stochastic matrices, in particula...
We study a new geometric graph parameter egd(G), defined as the smallest integer r ≥ 1 for which any...
We make some observations concerning the set C*n of real nonnegative, symmetric and diagonally domin...
Let E[lowered n] be the set of all nxn doubly stochastic positive semidefinite matrices. Then E[lowe...
A real symmetric matrix M is completely positive semidefinite if it admits a Gram representation by ...
AbstractLet Rn denote the convex, compact set of all real n-by-n positive semidefinite matrices with...
AbstractWe give a characterization for the extreme points of the convex set of correlation matrices ...
[[abstract]]An $n \times n$ complex Hermitian or real symmetric matrix is a correlation matrix if it...
AbstractLet Kn be the convex set of n×n positive semidefinite doubly stochastic matrices. We show th...
AbstractWe give a characterization for the extreme points of the convex set of correlation matrices ...
AbstractLet Kn denote the closed convex set of all n-by-n positive semidefinite doubly stochastic ma...
A complete and simple parametrization of the set of extremal elements in the convex set of all corre...
AbstractLet Kn denote the closed convex set of all n-by-n positive semidefinite doubly stochastic ma...
A real symmetric matrix M is completely positive semidefinite if it admits a Gram representation by ...
AbstractWe are here concerned with the following problem: Describe the extremals of the convex cone ...
AbstractThis paper presents results about positive definite doubly stochastic matrices, in particula...
We study a new geometric graph parameter egd(G), defined as the smallest integer r ≥ 1 for which any...
We make some observations concerning the set C*n of real nonnegative, symmetric and diagonally domin...
Let E[lowered n] be the set of all nxn doubly stochastic positive semidefinite matrices. Then E[lowe...
A real symmetric matrix M is completely positive semidefinite if it admits a Gram representation by ...