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The Lebesgue property (order-continuity) of a monotone convex function on a solid vector space of measurable functions is characterized in terms of (1) the weak inf-compactness of the conjugate function on the order-continuous dual space,…

Functional Analysis · Mathematics 2014-03-14 Keita Owari

Subaddivity type matrix inequalities for concave funcions and symetric norms are given.

Functional Analysis · Mathematics 2008-04-08 Jean-Christophe Bourin , Eun-Young Lee

Given a convex function $\varphi$ and two hermitian matrices $A$ and $B$, Lewin and Sabin study in [M. Lewin, J. Sabin, {\it A Family of Monotone Quantum Relative Entropies}, Lett. Math. Phys. \textbf{104} (2014), 691-705.] the relative…

Mathematical Physics · Physics 2016-12-20 Andreas Deuchert , Christian Hainzl , Robert Seiringer

We obtain operator concavity (convexity) of some functions of two or three variables by using perspectives of regular operator mappings of one or several variables. As an application, we obtain, for $ 0<p < 1,$ concavity, respectively…

Functional Analysis · Mathematics 2014-06-09 Zhihua Zhang

The Kantorovich function $(x^TAx)(x^T A^{-1} x)$, where $A$ is a positive definite matrix, is not convex in general. From matrix/convex analysis point of view, it is interesting to address the question: When is this function convex? In this…

Optimization and Control · Mathematics 2010-08-05 Yun-Bin Zhao

For a broad class of integral functionals defined on the space of $n$-dimensional convex bodies, we establish necessary and sufficient conditions for monotonicity, and necessary conditions for the validity of a Brunn-Minkowski type…

Metric Geometry · Mathematics 2016-02-22 Andrea Colesanti , Daniel Hug , Eugenia Saorín-Gómez

We show that for a convex function the following, rather modest conditions, are equivalent to monotonicity under local operations and classical communication. The conditions are: 1)invariance under local unitaries, 2) invariance under…

Quantum Physics · Physics 2007-05-23 Michal Horodecki

We provide three new proofs of the strong concavity of the dual function of some convex optimization problems. For problems with nonlinear constraints, we show that the the assumption of strong convexity of the objective cannot be weakened…

Optimization and Control · Mathematics 2021-05-04 Vincent Guigues

We establish conditions for the discrete versions of logarithmic concavity and convexity of the higher order regularized basic hypergeometric function with respect simultaneous shift of all its parameters. For a particular case of Heine's…

Classical Analysis and ODEs · Mathematics 2018-08-16 S. I. Kalmykov , D. B. Karp

In this present investigation, we found a set of sufficient conditions to be imposed on the parameters of the Fox H-functions which allow us to conclude that it is non-negative. As applications, various new facts regarding the Fox-Wright…

Classical Analysis and ODEs · Mathematics 2020-09-08 Khaled Mehrez

This paper presents necessary, sufficient, and equivalent conditions for the spherical convexity of non-homogeneous quadratic functions. In addition to motivating this study and identifying useful criteria for determining whether such…

Optimization and Control · Mathematics 2025-02-12 R. Bolton , S. Z. Németh

In the paper, after reviewing the history, background, origin, and applications of the functions $\frac{b^{t}-a^{t}}{t}$ and $\frac{e^{-\alpha t}-e^{-\beta t}}{1-e^{-t}}$, we establish sufficient and necessary conditions such that the…

Classical Analysis and ODEs · Mathematics 2014-04-15 Bai-Ni Guo , Feng Qi

Convolution admits a natural formulation as a functional operation on matrices. Motivated by the functional and entrywise calculi, this leads to a framework in which convolution defines a matrix transform that preserves positivity. Within…

Functional Analysis · Mathematics 2026-01-01 Javad Mashreghi , Mostafa Nasri , Prateek Kumar Vishwakarma

We prove a trace Hardy type inequality with the best constant on the polyhedral convex cones which generalizes recent results of Alvino et al. and of Tzirakis on the upper half space. We also prove some trace Hardy-Sobolev-Maz'ya type…

Functional Analysis · Mathematics 2016-03-28 Van Hoang Nguyen

Recently, the authors studied the connection between each maximal monotone operator T and a family H(T) of convex functions. Each member of this family characterizes the operator and satisfies two particular inequalities. The aim of this…

Functional Analysis · Mathematics 2008-02-13 Regina Sandra Burachik , B. F. Svaiter

This paper concerns three classes of real-valued functions on intervals, operator monotone functions, operator convex functions, and strongly operator convex functions. Strongly operator convex functions were previously treated in [3] and…

Functional Analysis · Mathematics 2018-05-29 Lawrence G. Brown , Mitsuru Uchiyama

We establish some monotonicity results and functional inequalities for modified Lommel functions of the first kind. In particular, we obtain new Tur\'{a}n type inequalities and bounds for ratios of modified Lommel functions of the first…

Classical Analysis and ODEs · Mathematics 2021-10-13 Robert E. Gaunt

The goal of the present paper is to provide a mathematically rigorous foundation to certain aspects of rational orbifold conformal field theory, in other words the theory of rational vertex operator algebras and their automorphisms. Under a…

q-alg · Mathematics 2009-10-30 Chongying Dong , Haisheng Li , Geoffrey Mason

We give new characterizations for matrix monotonicity and convexity of fixed order which connects previous characterizations by Loewner, Dobsch, Donoghue, Kraus and Bendat--Sherman. The ideas introduced are then used to characterize matrix…

Functional Analysis · Mathematics 2019-06-17 Otte Heinävaara

In this short paper, we give a complete and affirmative answer to a conjecture on matrix trace inequalities for the sum of positive semidefinite matrices. We also apply the obtained inequality to derive a kind of generalized Golden-Thompson…

Functional Analysis · Mathematics 2010-08-23 Shigeru Furuichi , Minghua Lin
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