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This note treats a simple minded question: what does a typical random matrix range look like? We study the relationship between various modes of convergence for tuples of operators, on the one hand, and continuity of matrix ranges with…

Operator Algebras · Mathematics 2023-05-10 Malte Gerhold , Orr Shalit

The matrix convexity and the matrix monotony of a real $C^1$ function $f$ on $(0,\infty)$ are characterized in terms of the conditional negative or positive definiteness of the Loewner matrices associated with $f$, $tf(t)$, and $t^2f(t)$.…

Functional Analysis · Mathematics 2010-08-06 Fumio Hiai , Takashi Sano

In this paper we compute the closure of the numerical range of certain periodic tridiagonal operators. This is achieved by showing that the closure of the numerical range of such operators can be expressed as the closure of the convex hull…

Functional Analysis · Mathematics 2020-09-01 Benjamín A. Itzá-Ortiz , Rubén A. Martínez-Avendaño

We initiate the study of matrix convexity for operator spaces. We define the notion of compact rectangular matrix convex set, and prove the natural analogs of the Krein-Milman and the bipolar theorems in this context. We deduce a canonical…

Operator Algebras · Mathematics 2020-09-23 Adam H. Fuller , Michael Hartz , Martino Lupini

We use Arveson's notion of strongly peaking representation to generalize uniqueness theorems for free spectrahedra and matrix convex sets which admit minimal presentations. A fully compressed separable operator system necessarily generates…

Operator Algebras · Mathematics 2022-04-21 Kenneth R. Davidson , Benjamin Passer

This paper studies the constrained switching (linear) system which is a discrete-time switched linear system whose switching sequences are constrained by a deterministic finite automaton. The stability of a constrained switching system is…

Optimization and Control · Mathematics 2020-08-27 Xiangru Xu , Behcet Acikmese

In a right quaternionic Hilbert space, following the complex formalism, decomposable operators, the so-called Bishop's property and the single valued extension property are defined and the connections between them are studied to certain…

Functional Analysis · Mathematics 2019-05-17 K. Thirulogasanthar , B. Muraleetharan

The numerical range of a bounded linear operator on a complex Banach space need not be convex unlike that on a Hilbert space. The aim of this paper is to study operators $T$ on $ \ell^2_p $ for which the numerical range is convex. We also…

Functional Analysis · Mathematics 2024-08-13 Kalidas Mandal , Aniket Bhanja , Santanu Bag , Kallol Paul

In this paper, we characterize the convexity of the Berezin range for finite-rank operators acting on the weighted Hardy space $\mathcal{H}_\gamma (\mathbb{D})$ over the unit disc $\mathbb{D}$. We provide a complete classification in terms…

Functional Analysis · Mathematics 2025-06-02 Sandip Kumar Maiti , Satyajit Sahoo , Gorachand Chakraborty

We prove an abstract criterion that a surjective convolution operator in spaces of analytic functions on convex subsets of the complex plane has a continuous linear right inverse. Considered convex sets have a countable neighborhood basis…

Functional Analysis · Mathematics 2018-10-22 S. N. Melikhov , L. V. Khanina

Semidefinite programming is based on optimization of linear functionals over convex sets defined by linear matrix inequalities, namely, inequalities of the form $$L_A(X)=I-A_1X_1-\dots-A_g X_g\succeq0.$$ Here the $X_j$ are real numbers and…

Functional Analysis · Mathematics 2022-02-24 Eric Evert , Yi Fu , J. William Helton , John Yin

If X(c^E t) and c^H X(t) have the same finite-dimensional distributions for some linear operators E and H, we say that the random vector field X(t) is operator self-similar. The exponents E and H are not unique in general, due to symmetry.…

Probability · Mathematics 2016-08-17 Gustavo Didier , Mark M. Meerschaert , Vladas Pipiras

In this paper, we employ operator system techniques to investigate structural properties of C*-algebras. In particular, we provide more direct proofs of results concerning exactness and the local lifting property (LLP) of group…

Operator Algebras · Mathematics 2025-10-30 Kenneth R. Davidson , Vern I. Paulsen , Mizanur Rahaman

We investigate local distinguishability of quantum states by use of the convex analysis about joint numerical range of operators on a Hilbert space. We show that any two orthogonal pure states are distinguishable by local operations and…

Quantum Physics · Physics 2009-11-11 Yoshiko Ogata

We provide several perturbation theorems regarding closable operators on a real or complex Hilbert space. In particular we extend some classical results due to Hess--Kato, Kato--Rellich and W\"ust. Our approach involves ranges of matrix…

Functional Analysis · Mathematics 2014-09-22 Dan Popovici , Zoltán Sebestyén , Zsigmond Tarcsay

We introduce the concept of essential numerical range $W_{\!e}(T)$ for unbounded Hilbert space operators $T$ and study its fundamental properties including possible equivalent characterizations and perturbation results. Many of the…

Spectral Theory · Mathematics 2019-07-24 Sabine Bögli , Marco Marletta , Christiane Tretter

Let ${\mathcal H}$ be a complex Hilbert space and let ${\mathcal B}({\mathcal H})$ be the algebra of all bounded linear operators on ${\mathcal H}$. For a positive integer $k$ less than the dimension of ${\mathcal H}$ and ${\mathbf A} =…

Functional Analysis · Mathematics 2022-03-22 Jor-Ting Chan , Chi-Kwong Li , Yiu-Tung Poon

To a generalized tight continuous frame in a Hilbert space $\H$ indexed by a locally compact space $\Si$ endowed with a Radon measure, one associates a coorbit theory converting spaces of functions on $\Si$ in spaces of vectors comparable…

Functional Analysis · Mathematics 2014-06-30 M. Mantoiu , D. Parra

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

We develop tractable convex relaxations for rank-constrained quadratic optimization problems over $n \times m$ matrices, a setting for which tractable relaxations are typically only available when the objective or constraints admit spectral…

Optimization and Control · Mathematics 2026-05-22 Ryan Cory-Wright , Jean Pauphilet