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Related papers: Norm inequalities involving geometric means

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Let $A$ be a positive semidefinite $m\times m$ block matrix with each block $n$-square, then the following determinantal inequality for partial traces holds \[ (\mathrm{tr} A)^{mn} - \det(\mathrm{tr}_2 A)^n \ge \bigl| \det A -…

Functional Analysis · Mathematics 2020-02-25 Yongtao Li , Lihua Feng , Weijun Liu , Yang Huang

Bidiagonal matrices are widespread in numerical linear algebra, not least because of their use in the standard algorithm for computing the singular value decomposition and their appearance as LU factors of tridiagonal matrices. We show that…

Numerical Analysis · Mathematics 2023-11-14 Nicholas J. Higham

We improve and generalize some operator inequalities for positive linear maps. It is shown, among other inequalities, that if $0<m\le B\le m'<M'\le A\le M$ or $0<m\le A\le m'<M'\le B\le M$, then for each $2\le p<\infty $ and $\nu \in \left[…

Functional Analysis · Mathematics 2017-07-25 H. R. Moradi , M. E. Omidvar , I. H. Gümüş , R. Naseri

For an $n\times n$ positive definite symmetric matrix $Z$ with $Z_{ii} = 1$ for all $i$, we show that there exists a set of vectors $V_Z\subset \mathbb{R}^n$ such that the radius $R$ of the circumsphere of $V_Z$ satisfies ${\rm Mag}\ Z =…

Metric Geometry · Mathematics 2025-11-04 Yasuhiko Asao , Kiyonori Gomi

In this note we generalize the trace inequality derived by [1] to the case where the number of terms of the sum (denoted by K) is arbitrary.

Functional Analysis · Mathematics 2010-11-30 E. V. Belmega , M. Jungers , S. Lasaulce

The long-standing Gaussian product inequality (GPI) conjecture states that $E [\prod_{j=1}^{n}X_j^{2m_j}]\geq\prod_{j=1}^{n}E[X_j^{2m_j}]$ for any centered Gaussian random vector $(X_1,\dots,X_n)$ and $m_1,\dots,m_n\in\mathbb{N}$. In this…

Probability · Mathematics 2022-10-17 Oliver Russell , Wei Sun

Let $V$ be an $n$-dimension real vector space with a direct sum decomposition $V = V_1 \oplus \cdots \oplus V_r$. Let $\mathcal{P} = \{(A_i, B_i) : i \in [m]\}$ be a skew Bollob\'as system of subspaces of $V$ such that each $i\in [m]$, $…

Combinatorics · Mathematics 2026-03-27 Zhiyi Liu , Lihua Feng , Tingzeng Wu

We introduce and analyze BPALM and A-BPALM, two multi-block proximal alternating linearized minimization algorithms using Bregman distances for solving structured nonconvex problems. The objective function is the sum of a multi-block…

Optimization and Control · Mathematics 2021-12-20 Masoud Ahookhosh , Le Thi Khanh Hien , Nicolas Gillis , Panagiotis Patrinos

Let $A$ be a nonempty finite set of $k$ integers. Given a subset $B$ of $A$, the sum of all elements of $B$, denoted by $s(B)$, is called the subset sum of $B$. For a nonnegative integer $\alpha$ ($\leq k$), let \[\Sigma_{\alpha}…

Number Theory · Mathematics 2019-09-04 Jagannath Bhanja , Ram Krishna Pandey

The $p$-norm of $r$-matrices generalizes the $2$-norm of $2$-matrices. It is shown that if a nonnegative $r$-matrix is symmetric with respect to two indices $j$ and $k$, then the $p$-norm is attained for some set of vectors such that the…

Combinatorics · Mathematics 2019-06-27 V. Nikiforov

We use an interpolative technique from \cite{abps} to introduce the notion of multiple $N$-separately summing operators. Our approach extends and unifies some recent results; for instance we recover the best known estimates of the…

Functional Analysis · Mathematics 2015-07-02 N. Albuquerque , D. Núñez-Alarcón , J. Santos , D. M. Serrano-Rodríguez

We study real bihomogeneous polynomials $r(z,\bar{z})$ in $n$ complex variables for which $r(z,\bar{z}) \|z\|^2$ is the squared norm of a holomorphic polynomial mapping. Such polynomials are the focus of the Sum of Squares Conjecture, which…

Complex Variables · Mathematics 2021-11-08 Jennifer Brooks , Dusty Grundmeier , Hal Schenck

Given a matrix $\mathbf{A} \in \mathbb{R}^{k \times n}$, a partitioning of $[k]$ into groups $S_1,\dots,S_m$, an outer norm $p$, and a collection of inner norms such that either $p \ge 1$ and $p_1,\dots,p_m \ge 2$ or $p_1=\dots=p_m=p \ge…

Functional Analysis · Mathematics 2024-09-30 Naren Sarayu Manoj , Max Ovsiankin

Let $N\ge 4$. We show that, if $x_1,\dots,x_N$ and $y_1,\dots,y_N$ are $N$-tuples of strictly positive numbers whose arithmetic, geometric and harmonic means agree, then \[ \max_j x_j <(N-2)\max_j y_j \quad\text{and}\quad \min_j x_j…

Functional Analysis · Mathematics 2022-07-12 Thomas Ransford , Nathan Walsh

We prove an inequality relating the norm of a product of matrices $A_n\cdots A_1$ with the spectral radii of subproducts $A_j\cdots A_i$ with $1\leq i\leq j\leq n$. Among the consequences of this inequality, we obtain the classical…

Dynamical Systems · Mathematics 2019-12-24 Eduardo Oregón-Reyes

We consider critical points of the geometric obstacle problem on vectorial maps $u: \mathbb{B}^2 \subset \mathbb{R}^2 \to \mathbb{R}^N$ \[ \int_{\mathbb{B}^2} |\nabla u|^2 \quad \mbox{subject to $u \in \mathbb{R}^N \backslash…

Analysis of PDEs · Mathematics 2020-02-03 Sujin Khomrutai , Armin Schikorra

We provide a number of sharp inequalities involving the usual operator norms of Hilbert space operators and powers of the numerical radii. Based on the traditional convexity inequalities for nonnegative real numbers and some generalize…

Functional Analysis · Mathematics 2023-07-24 M. H. M Rashid , Feras Bani-Ahmad

In this paper, we generalize some matrix inequalities involving matrix power and Karcher means of positive definite matrices. Among other inequalities, it is shown that if ${\mathbb A}=(A_{1},...,A_{n})$ is a $n$-tuple of positive definite…

Functional Analysis · Mathematics 2017-02-27 Rahmatollah Lashkaripour , Monire Hajmohamadi , Mojtaba Bakherad

We investigate geometric features of the unit ball corresponding to the sum of the nuclear norm of a matrix and the $l_1$ norm of its entries --- a common penalty function encouraging joint low rank and high sparsity. As a byproduct of this…

Optimization and Control · Mathematics 2014-01-21 D. Drusvyatskiy , S. A. Vavasis , H. Wolkowicz

Let $H$ be a positive semi-definite matrix partitioned in $\beta\times \beta$ Hermitian blocks, $H=[A_{s,t}]$, $1\le s,t,\le \beta$. Then, for all symmetric norms, {equation*} \| H \| \le \| \sum_{s=1}^{\beta} A_{s,s} \|. {equation*} The…

Functional Analysis · Mathematics 2012-09-11 Jean-Christophe Bourin , Eun-Young Lee , Minghua Lin