Results 21 to 30 of about 7,376 (127)

Kantorovich type reverse inequalities for operator norm [PDF]

open access: yesMathematical Inequalities & Applications, 2005
The authors extend a theorem of Bourin, contained in the electronically available monograph [\textit{J.--C. Bourin}, ``Compressions, Dilations and Matrix Inequalities'' (RGMIA Monographs, Victoria University) (2004; http://rgmia.vu.edu.au/monographs/matrix.html)]) to the framework of operators on a Hilbert space by applying the Mond--Pečarić method for
Fujii, Jun Ichi   +2 more
openaire   +1 more source

Multiple-Term Refinements of Young Type Inequalities

open access: yesJournal of Mathematics, 2016
Recently, a multiple-term refinement of Young’s inequality has been proved. In this paper, we show its reverse refinement. Moreover, we will present multiple-term refinements of Young’s inequality involving Kantorovich constants.
Daeshik Choi
doaj   +1 more source

Geometric properties of cones with applications on the Hellinger-Kantorovich space, and a new distance on the space of probability measures [PDF]

open access: yes, 2017
We study general geometric properties of cone spaces, and we apply them on the Hellinger--Kantorovich space $(\mathcal{M}(X),\mathsf{H\hspace{-0.25em} K}_{\alpha,\beta}).$ We exploit a two-parameter scaling property of the Hellinger-Kantorovich metric $ \
Laschos, Vaios, Mielke, Alexander
core   +3 more sources

Refined Young inequality with Kantorovich constant [PDF]

open access: yesJournal of Mathematical Inequalities, 2011
The Specht ratio S(h) is the optimal constant in the reverse of the arithmetic-geometric mean inequality, i.e., if 0 0, μ ∈ (0,1) ,w hereh = b and r = min{μ,1 − μ}. In this paper, we improve it by virtue of the Kantorovich constant, utilizing the refined scalar Young inequality we establish a weighted arithmetic-geometric-harmonic mean inequality for
Hongliang Zuo   +2 more
openaire   +1 more source

Optimal transportation, topology and uniqueness [PDF]

open access: yes, 2010
The Monge-Kantorovich transportation problem involves optimizing with respect to a given a cost function. Uniqueness is a fundamental open question about which little is known when the cost function is smooth and the landscapes containing the goods to be
Ahmad, Najma   +2 more
core   +4 more sources

Extreme points of a ball about a measure with finite support [PDF]

open access: yes, 2016
We show that, for the space of Borel probability measures on a Borel subset of a Polish metric space, the extreme points of the Prokhorov, Monge-Wasserstein and Kantorovich metric balls about a measure whose support has at most n points, consist of ...
Owhadi, Houman, Scovel, Clint
core   +2 more sources

Kantorovich type operator inequalities for Furuta inequality [PDF]

open access: yesOperators and Matrices, 2007
In this paper, we shall present Kantorovich type operator inequalities for Furuta inequality related to the usual order and the chaotic one in terms of a generalized Kantorovich constant, a generalized condition number and the Specht ratio, in which we use variants of the grand Furuta inequality. Mathematics subject classification (2000): 47A63.
openaire   +1 more source

Evolutionary variational inequalities on the Hellinger--Kantorovich and spherical Hellinger--Kantorovich spaces

open access: yes, 2022
We study the minimizing movement scheme for families of geodesically semiconvex functionals defined on either the Hellinger--Kantorovich or the Spherical Hellinger--Kantorovich space. By exploiting some of the finer geometric properties of those spaces, we prove that the sequence of curves, which are produced by geodesically interpolating the points ...
Laschos, Vaios, Mielke, Alexander
openaire   +3 more sources

Grüss-Type Bounds for the Covariance of Transformed Random Variables

open access: yesJournal of Inequalities and Applications, 2010
A number of problems in Economics, Finance, Information Theory, Insurance, and generally in decision making under uncertainty rely on estimates of the covariance between (transformed) random variables, which can, for example, be losses, risks, incomes ...
Martín Egozcue   +3 more
doaj   +2 more sources

Generalizations of the Kantorovich and Wielandt Inequalities with Applications to Statistics

open access: yesMathematics
By utilizing the properties of positive definite matrices, mathematical expectations, and positive linear functionals in matrix space, the Kantorovich inequality and Wielandt inequality for positive definite matrices and random variables are obtained ...
Yunzhi Zhang   +3 more
doaj   +1 more source

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