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Related papers: Jointly convex quantum Jensen divergences

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In this paper we deal with improvement of Jensen, Jensen-Steffensen's and Jensen's functionals related inequalities for uniformly convex, phi-convex and superquadratic functions.

Functional Analysis · Mathematics 2025-01-03 Shoshana Abramovich

We consider positive Jacobi matrices $J$ with compact inverses and consequently with purely discrete spectra. A number of properties of the corresponding sequence of orthogonal polynomials is studied including the convergence of their…

Spectral Theory · Mathematics 2026-02-06 Pavel Šťovíček , Grzegorz Świderski

Recently Nikodem, Rajba and W\k{a}sowicz compared the classes of n-Wright-convex functions and n-Jensen-convex functions by showing that the first one is a proper subclass of the latter one, whenever n is an odd natural number. Till now the…

Classical Analysis and ODEs · Mathematics 2016-11-29 Jacek Mrowiec , Teresa Rajba , Szymon Wąsowicz

The quantum \chi^2-divergence has recently been introduced and applied to quantum channels (quantum Markov processes). In contrast to the classical setting the quantum \chi^2-divergence is not unique but depends on the choice of quantum…

Mathematical Physics · Physics 2012-10-02 Frank Hansen

In this article we give some improvements and generalizations of the famous Jensen's and Jensen-Mercer inequalities for twice differentiable functions, where convexity property of the target function is not assumed in advance. They…

Classical Analysis and ODEs · Mathematics 2020-11-24 Slavko Simic

We study various convex functions on $R^n$ associated with positive definite matrices. This yiels some exotic Holder matrix inequalities.

Functional Analysis · Mathematics 2019-09-27 Jean-Christophe Bourin , Jingjing Shao

We study metric properties of symmetric divergences on Hermitian positive definite matrices. In particular, we prove that the square root of these divergences is a distance metric. As a corollary we obtain a proof of the metric property for…

Information Theory · Computer Science 2019-12-17 Suvrit Sra

In this short note, we prove that the square root of the quantum Jensen-Shannon divergence is a true metric on the cone of positive matrices, and hence in particular on the quantum state space.

Mathematical Physics · Physics 2021-01-25 Dániel Virosztek

We introduce a generalization of relative entropy derived from the Wigner-Yanase-Dyson entropy and give a simple, self-contained proof that it is convex. Moreover, special cases yield the joint convexity of relative entropy, and for the map…

Quantum Physics · Physics 2015-05-13 Anna Jencova , Mary Beth Ruskai

We study the convergence of a family of numerical integration methods where the numerical integral is formulated as a finite matrix approximation to a multiplication operator. For bounded functions, the convergence has already been…

Numerical Analysis · Mathematics 2023-03-28 Juha Sarmavuori , Simo Särkkä

Convexity is a key concept in information theory, namely via the many implications of Jensen's inequality, such as the non-negativity of the Kullback-Leibler divergence (KLD). Jensen's inequality also underlies the concept of Jensen-Shannon…

Information Theory · Computer Science 2008-04-11 Andre Martins , Pedro Aguiar , Mario Figueiredo

Csiszar's f-divergence of two probability distributions was extended to the quantum case by the author in 1985. In the quantum setting positive semidefinite matrices are in the place of probability distributions and the quantum…

Information Theory · Computer Science 2015-05-14 Denes Petz

We propose a gradient-based Jacobi algorithm for a class of maximization problems on the unitary group, with a focus on approximate diagonalization of complex matrices and tensors by unitary transformations. We provide weak convergence…

Optimization and Control · Mathematics 2020-07-13 Konstantin Usevich , Jianze Li , Pierre Comon

The joint convexity of the map $(X,A) \mapsto X^* A^{-1} X$, an integral representation of operator convex functions, and an observation of Ando are used to obtain a simple proof of both the joint convexity of relative entropy and a trace…

Quantum Physics · Physics 2022-09-07 Mary Beth Ruskai

In this paper we improve results related to Normalized Jensen Functional for convex functions and Uniformly Convex Functions.

Functional Analysis · Mathematics 2024-05-27 Shoshana Abramovich

The notion of matrix entropy was introduced by Tropp and Chen with the aim of measuring the fluctuations of random matrices. It is a certain entropy functional constructed from a representing function with prescribed properties, and Tropp…

Mathematical Physics · Physics 2015-09-25 Frank Hansen , Zhihua Zhang

Considering the weighted concept of majorization, Sherman obtained generalization of majorization inequality for convex functions known as Sherman's inequality. We extend Sherman's result to the class of n-strongly convex functions using…

Classical Analysis and ODEs · Mathematics 2019-05-21 Slavica Ivelić Bradanović

This paper is mainly devoted to studying operator Jensen inequality. More precisely, a new generalization of Jensen inequality and its reverse version for convex (not necessary operator convex) functions have been proved. Several special…

Functional Analysis · Mathematics 2019-06-10 M. Shah Hosseini , H. R. Moradi , B. Moosavi

We derive new characterisations of the matrix $\mathrm{\Phi}$-entropy functionals introduced in [Electron.~J.~Probab., 19(20): 1--30, 2014]. Notably, all known equivalent characterisations of the classical $\Phi$-entropies have their matrix…

Mathematical Physics · Physics 2016-08-25 Hao-Chung Cheng , Min-Hsiu Hsieh

We revisit and prove some convexity inequalities for trace functions conjectured in the earlier part I. The main functional considered is \Phi_{p,q}(A_1,A_2,...,A_m) = (trace((\sum_{j=1}^m A_j^p)^{q/p}))^{1/q} for m positive definite…

Operator Algebras · Mathematics 2008-02-25 Eric A. Carlen , Elliott H. Lieb