Let f be a function from R+ into itself. A classic theorem of K. Löwner says that f is operator monotone if and only if all matrices of the form [f(pi)-f(pj)/pi-pj] are positive semidefinite. We show that f is operator convex if and only if all such matrices are conditionally negative definite and that f (t) = t g(t) for some operator convex function g if and only if these matrices are conditionally positive definite. Elementary proofs are given for the most interesting special cases f (t) = t r , and f (t) = t log t. Several consequences are derived
We prove a strengthened form of convexity for operator monotone decreasing positive functions define...
We prove a strengthened form of convexity for operator monotone decreasing positive functions define...
AbstractSome functions f:R+→R+ induce mean of positive numbers and the matrix monotonicity gives a p...
We give elementary proofs of the fact that the Loewner matrices [f(p<SUB>i</SUB>)-f(p<SUB>j</SUB>)/p...
AbstractLet A and B be Hermitian matrices. We say that A⩾B if A−B is nonnegative definite. A functio...
AbstractLet A and B be Hermitian matrices. We say that A⩾B if A−B is nonnegative definite. A functio...
We construct several examples of positive definite functions, and use the positive definite matrices...
We establish local characterizations of matrix monotonicity and convexity of fixed order by giving i...
AbstractIf f is a positive function on (0, ∞) which is monotone of order n for every n in the sense ...
We establish local characterizations of matrix monotonicity and convexity of fixed order by giving i...
Abstract. Let f(t) be a real continuous function on an interval, and consider the operator function ...
This book provides an in depth discussion of Loewner’s theorem on the characterization of matrix mon...
AbstractWe prove some matrix monotonicity and matrix convexity properties for functions derived from...
Given an operator convex function f(x), we obtain an operator-valued lower bound for cf(x) + (1 − c)...
Let f be a smooth function on R. The divided difference matrices whose (i, j) entries are» f(λi) − f...
We prove a strengthened form of convexity for operator monotone decreasing positive functions define...
We prove a strengthened form of convexity for operator monotone decreasing positive functions define...
AbstractSome functions f:R+→R+ induce mean of positive numbers and the matrix monotonicity gives a p...
We give elementary proofs of the fact that the Loewner matrices [f(p<SUB>i</SUB>)-f(p<SUB>j</SUB>)/p...
AbstractLet A and B be Hermitian matrices. We say that A⩾B if A−B is nonnegative definite. A functio...
AbstractLet A and B be Hermitian matrices. We say that A⩾B if A−B is nonnegative definite. A functio...
We construct several examples of positive definite functions, and use the positive definite matrices...
We establish local characterizations of matrix monotonicity and convexity of fixed order by giving i...
AbstractIf f is a positive function on (0, ∞) which is monotone of order n for every n in the sense ...
We establish local characterizations of matrix monotonicity and convexity of fixed order by giving i...
Abstract. Let f(t) be a real continuous function on an interval, and consider the operator function ...
This book provides an in depth discussion of Loewner’s theorem on the characterization of matrix mon...
AbstractWe prove some matrix monotonicity and matrix convexity properties for functions derived from...
Given an operator convex function f(x), we obtain an operator-valued lower bound for cf(x) + (1 − c)...
Let f be a smooth function on R. The divided difference matrices whose (i, j) entries are» f(λi) − f...
We prove a strengthened form of convexity for operator monotone decreasing positive functions define...
We prove a strengthened form of convexity for operator monotone decreasing positive functions define...
AbstractSome functions f:R+→R+ induce mean of positive numbers and the matrix monotonicity gives a p...