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Related papers: Best Approximation in Numerical Radius

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We make an experimental comparison of methods for computing the numerical radius of an $n\times n$ complex matrix, based on two well-known characterizations, the first a nonconvex optimization problem in one real variable and the second a…

Numerical Analysis · Mathematics 2023-10-10 Tim Mitchell , Michael L. Overton

In this paper, we introduce the concept of cyclic orbital contraction mappings which generalizes the concept of cyclic contraction mappings. We establish the existence of best proximity point of these mappings in the framework of $CAT_p(0)$…

Functional Analysis · Mathematics 2025-12-16 Parveen Kumar , Ankit Kumar , Manu Rohilla

Generalizing results by Halperin et al., Grivaux recently showed that any linearly independent sequence $\{f_k\}_{k=1}^\infty$ in a separable Banach space $X$ can be represented as a suborbit $\{T^{\alpha(k)}\varphi\}_{k=1}^\infty$ of some…

Functional Analysis · Mathematics 2021-03-17 Ole Christensen , Marzieh Hasannasab , Gabriele Steidl

We study the Bonsall cone spectral radius and the approximate point spectrum of (in general non-linear) positively homogeneous, bounded and supremum preserving maps, defined on a max-cone in a given normed vector lattice. We prove that the…

Spectral Theory · Mathematics 2016-12-07 Vladimir Müller , Aljoša Peperko

Given Banach spaces $X$ and $Y$, and a norm-one operator $G\in \mathcal{L}(X,Y)$, the numerical index with respect to $G$, $n_G(X,Y)$, is the greatest constant $k\geq 0$ such that $$\max_{|w|=1}\|G+wT\|\geq 1 + k \|T\|$$ for all $T\in…

Functional Analysis · Mathematics 2019-05-30 Vladimir Kadets , Miguel Martin , Javier Meri , Antonio Perez , Alicia Quero

We study the complexity of Banach space valued integration in the randomized setting. We are concerned with $r$-times continuously differentiable functions on the $d$-dimensional unit cube $Q$, with values in a Banach space $X$, and…

Numerical Analysis · Mathematics 2014-12-01 Stefan Heinrich , Aicke Hinrichs

Let $K$ be an absolutely convex infinite-dimensional compact in a Banach space $\mathcal{X}$. The set of all bounded linear operators $T$ on $\mathcal{X}$ satisfying $TK\supset K$ is denoted by $G(K)$. Our starting point is the study of the…

Functional Analysis · Mathematics 2009-12-15 M. I. Ostrovskii , V. S. Shulman

In the year 2011, S.Basha \cite{BS} introduced the notion of proximal contraction in a metric space $X$ and study the existence and uniqueness of best proximity point for this class of mappings. Also, the author gave an algorithm to achieve…

General Topology · Mathematics 2021-07-06 Sumit Som

We define the complete numerical radius norm for homomorphisms from any operator algebra into ${\mathcal B}({\mathcal H})$, and show that this norm can be computed explicitly in terms of the completely bounded norm. This is used to show…

Operator Algebras · Mathematics 2016-12-20 Kenneth R. Davidson , Vern I. Paulsen , Hugo J. Woerdeman

We construct various examples of non-trivial closed ideals of the compact-by-approximable algebra $\mathfrak{A}_X =:\mathcal K(X)/\mathcal A(X)$ on Banach spaces $X$ failing the approximation property. The examples include the following:…

Functional Analysis · Mathematics 2023-01-26 Hans-Olav Tylli , Henrik Wirzenius

In this paper, we aim to establish a range of numerical radius inequalities. These discoveries will bring us to a recently validated numerical radius inequality and will present numerical radius inequalities that exhibit enhanced precision…

Functional Analysis · Mathematics 2024-10-07 M. H. M. Rashid

We present a minimax optimal solution to the problem of estimating a compact, convex set from finitely many noisy measurements of its support function. The solution is based on appropriate regularizations of the least squares estimator.…

Statistics Theory · Mathematics 2012-05-31 Adityanand Guntuboyina

In this paper we give a various conditions for which the tuple $\mathcal{T} = (T_{1} , T_{2} , ... , T_{n})$ of commutative bounded linear operators on an infinite dimensional ( real , complex ) Banach space X is orbit reflexive. After we…

Functional Analysis · Mathematics 2018-12-19 Abdelaziz Tajmouati , Youness Zahouan

In this paper we study optimization problems for Neumann eigenvalues $\mu_k$ among convex domains with a constraint on the diameter or the perimeter. We work mainly in the plane, though some results are stated in higher dimension. We study…

Analysis of PDEs · Mathematics 2024-02-07 Beniamin Bogosel , Antoine Henrot , Marco Michetti

We prove Carl's type inequalities for the error of approximation of compact sets K by deep and shallow neural networks. This in turn gives lower bounds on how well we can approximate the functions in K when requiring the approximants to…

Machine Learning · Statistics 2022-12-06 Guergana Petrova , Przemysław Wojtaszczyk

Let $X$ be a finite-dimensional normed space and let $Y \subseteq X$ be its proper linear subspace. The set of all minimal projections from $X$ to $Y$ is a convex subset of the space all linear operators from $X$ to $X$ and we can consider…

Functional Analysis · Mathematics 2023-03-22 Tomasz Kobos , Grzegorz Lewicki

In this article, we introduce a geometrical notion, property strongly UC which is stronger than property UC and prove the existence of best approximations for a new class of almost cyclic $\psi$-contraction maps in a metric space. As a…

Functional Analysis · Mathematics 2023-10-17 Abhik Digar

$K$-frames and atomic systems for an operator $K$ in Hilbert spaces were introduced by Gavruta \cite{12} and further studied by Xio, Zhu and Gavruta \cite{21}. In this paper, we have introduced the notion of an approximative atomic system…

Functional Analysis · Mathematics 2019-09-13 Shah Jahan

This paper studies Tikhonov regularization for finitely smoothing operators in Banach spaces when the penalization enforces too much smoothness in the sense that the penalty term is not finite at the true solution. In a Hilbert space…

Numerical Analysis · Mathematics 2022-03-07 Philip Miller , Thorsten Hohage

Qualitatively, a no-dimensional Helly-type theorem says that if every small subfamily of convex sets has a common point in a bounded region, then suitable neighborhoods of all the sets in the whole family have a common point. Quantitative…

Functional Analysis · Mathematics 2026-03-27 Grigory Ivanov
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