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Related papers: Linear Monotone Subspaces of Locally Convex Spaces

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The aim of this paper is to show that every representative function of a maximal monotone operator is the Fitzpatrick transform of a bifunction corresponding to the operator. In this way we exhibit the relation between the recent theory of…

Functional Analysis · Mathematics 2015-08-03 Monica Bianchi , Nicolas Hadjisavvas , Rita Pini

The goal of this paper is to develop some fundamental and important nonlinear analysis for single-valued mappings under the framework of p-vector spaces, in particular, for locally p-convex spaces for p in (0, 1]. More precisely, based on…

Functional Analysis · Mathematics 2022-10-20 George Xianzhi Yuan

We show that the lower limit of a sequence of maximal monotone operators on a reflexive Banach space is a representable monotone operator. As a consequence, we obtain that the variational sum of maximal monotone operators and the…

Optimization and Control · Mathematics 2011-01-31 Yboon García , Marc Lassonde

In this paper some concepts of convex analysis on hyperbolic space are studied. We first study properties of the intrinsic distance, for instance, we present the spectral decomposition of its Hessian. Next, we study the concept of convex…

Optimization and Control · Mathematics 2022-07-13 Orizon Pereira Ferreira , Sándor Zoltán Németh , Jinzhen Zhu

In this paper, equivalence between interpolation properties of linear operators and monotonicity conditions are studied, for a pair $(X_0,X_1)$ of rearrangement invariant quasi Banach spaces, when the extreme spaces of the interpolation are…

Functional Analysis · Mathematics 2008-02-03 Jesús Bastero , Francisco J. Ruiz

In this paper, we investigate the properties of locally univalent and multivalent planar harmonic mappings. First, we discuss the coefficient estimates and Landau's Theorem for some classes of locally univalent harmonic mappings, and then…

Complex Variables · Mathematics 2014-06-18 Shaolin Chen , Saminathan Ponnusamy , Antti Rasila

Monopoles and solitons have important topological aspects like quantized fluxes, winding numbers and curved target spaces. Naive discretizations which substitute a lattice of points for the underlying manifolds are incapable of retaining…

High Energy Physics - Theory · Physics 2009-10-31 S. Baez , A. P. Balachandran , S. Vaidya , B. Ydri

Let $T:Y\to X$ be a bounded linear operator between two normed spaces. We characterize compactness of $T$ in terms of differentiability of the Lipschitz functions defined on $X$ with values in another normed space $Z$. Furthermore, using a…

Functional Analysis · Mathematics 2019-10-17 Mohammed Bachir , Gonzalo Flores , Sebastián Tapia-García

We study the homogenization of a stationary random maximal monotone operator on a probability space equipped with an ergodic dynamical system. The proof relies on Fitzpatrick's variational formulation of monotone relations, on Visintin's…

Analysis of PDEs · Mathematics 2017-03-31 Luca Lussardi , Stefano Marini , Marco Veneroni

In this paper, we consider three similar optimization problems: the fault-tolerant metric dimension problem, the local metric dimension problem and the strong metric dimension problem. These problems have applications in many diverse areas,…

Combinatorics · Mathematics 2014-09-10 Muhammad Salman , Imran Javaid , Muhammad Anwar Chaudhry

We introduce the resolvent composition, a monotonicity-preserving operation between a linear operator and a set-valued operator, as well as the proximal composition, a convexity-preserving operation between a linear operator and a function.…

Optimization and Control · Mathematics 2023-07-25 Patrick L. Combettes

In this work a linearly constrained minimization of a positive semidefinite quadratic functional is examined. Our results are concerning infinite dimensional real Hilbert spaces, with a singular positive operator related to the functional,…

Optimization and Control · Mathematics 2010-09-20 Dimitrios Pappas

The recovery of magnetic resonance (MR) images from undersampled measurements is a key problem that has seen extensive research in recent years. Unrolled approaches, which rely on end-to-end training of convolutional neural network (CNN)…

Image and Video Processing · Electrical Eng. & Systems 2023-12-04 Maneesh John , Jyothi Rikhab Chand , Mathews Jacob

We shown that every continuous local functional on the space of finite convex functions on $\mathbb{R}^n$ is a valuation. This relation is used to establish a homogeneous decomposition for the class of polynomial local functionals as well…

Functional Analysis · Mathematics 2025-12-18 Jonas Knoerr

Intrinsic volumes are fundamental geometric invariants generalizing volume, surface area, and mean width for convex bodies. We establish a unified Laplace-Grassmannian representation for intrinsic and dual volumes of convex polynomial…

Metric Geometry · Mathematics 2025-11-04 Trí Minh Lê , Khai-Hoan Nguyen-Dang

We study the class of compact convex subsets of a topological vector space which admits a strictly convex and lower semicontinuous function. We prove that such a compact set is embeddable in a strictly convex dual Banach space endowed with…

Functional Analysis · Mathematics 2015-10-28 L. García-Lirola , J. Orihuela , M. Raja

Let $t_{i}=\frac{i}{n}$ for $i=0,...,n$ be equally spaces knots in the unit interval $[0,1].$ Let $\mathcal{S}_{n}$ be the space of piecewise linear continuous functions on $[0,1]$ with knots $\pi_{n}=\{t_{i}:0\leq i\leq n\}.$ Then we have…

Numerical Analysis · Mathematics 2011-03-11 Markus Passenbrunner

We consider approximation by functions with finite support and characterize its approximation spaces in terms of interpolation spaces and Lorentz spaces.

Classical Analysis and ODEs · Mathematics 2017-07-05 Bo Ling , Yongping Liu

The purpose of this note is to present two elementary, but useful, facts concerning actions on uniformly convex spaces. We demonstrate how each of them can be used in an alternative proof of the triviality of the first $L_p$-cohomology of…

Group Theory · Mathematics 2008-05-27 tsachik gelander

Set-functions appear in many areas of computer science and applied mathematics, such as machine learning, computer vision, operations research or electrical networks. Among these set-functions, submodular functions play an important role,…

Machine Learning · Computer Science 2010-11-17 Francis Bach
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