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Related papers: Dually cone-boundedness of a set and applications

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A branch of generalizations of the Banach Fixed Point Theorem replaces contractivity by a weaker but still effective property. The aim of the present note is to extend the contraction principle in this spirit for such complete semimetric…

Functional Analysis · Mathematics 2017-06-29 Mihály Bessenyei , Zsolt Páles

The purpose of this new survey paper is, among other things, to collect in one place most of the articles on cone (abstract, K-metric) spaces, published after 2007. This list can be useful to young researchers trying to work in this part of…

Functional Analysis · Mathematics 2018-05-15 Suzana Aleksic , Zoran Kadelburg , Zoran D. Mitrovic , Stojan Radenovic

The relationship according to which one physical theory encompasses the domain of empirical validity of another is widely known as "reduction." Here it is argued that one popular methodology for showing that one theory reduces to another,…

History and Philosophy of Physics · Physics 2019-10-23 Joshua Rosaler

The reduction of dynamical systems has a rich history, with many important applications related to stability, control and verification. Reduction of nonlinear systems is typically performed in an exact manner - as is the case with…

Optimization and Control · Mathematics 2007-07-26 Paulo Tabuada , Aaron D. Ames , Agung Julius , George J. Pappas

General definitions for causal structures on manifolds of dimension d+1>2 are presented for the topological category and for any differentiable one. Locally, these are given as cone structures via local (pointwise) homeomorphic or…

General Relativity and Quantum Cosmology · Physics 2015-06-25 Martin Rainer

We derive a closed-form expression for the projection onto a capped rotated second-order cone -- a convex set that arises in perspective relaxations of nonlinear programs with binary indicator variables. The closed-form solution involves…

Optimization and Control · Mathematics 2025-07-16 Noam Goldberg , Ishy Zagdoun

We prove bounds for the covering numbers of classes of convex functions and convex sets in Euclidean space. Previous results require the underlying convex functions or sets to be uniformly bounded. We relax this assumption and replace it…

Information Theory · Computer Science 2014-10-24 Adityanand Guntuboyina

We establish new metric characterizations for the norm (respectively, ultraweak) closure of the convex hull of a bounded set in an arbitrary $C^*$-algebra (respectively, von Neumann algebra), and provide applications of these results to the…

Operator Algebras · Mathematics 2024-05-29 Mikaël Pichot , Erik Séguin

This paper illustrates the richness of the concept of regular sets of time bounds and demonstrates its application to problems of computational complexity. There is a universe of bounds whose regular subsets allow to represent several time…

Computational Complexity · Computer Science 2013-09-24 Armin Hemmerling

Projective spaces for finite-dimensional vector spaces over general fields are considered. The geometry of these spaces and the theory of line bundles over these spaces is presented. Particularly, the space of global regular sections of…

Algebraic Geometry · Mathematics 2023-09-21 Andrew D. Lewis

In this paper, we propose a method for image-set classification based on convex cone models. Image set classification aims to classify a set of images, which were usually obtained from video frames or multi-view cameras, into a target…

Computer Vision and Pattern Recognition · Computer Science 2019-03-18 Naoya Sogi , Rui Zhu , Jing-Hao Xue , Kazuhiro Fukui

We define what it means for a state in a convex cone of states on a space of observables to be generalized-entangled relative to a subspace of the observables, in a general ordered linear spaces framework for operational theories. This…

Quantum Physics · Physics 2009-11-11 Howard Barnum , Gerardo Ortiz , Rolando Somma , Lorenza Viola

The primary objective of this paper is to propose and analyze the notion of dual cones associated with the metric projection and generalized projection in Banach spaces. We show that the dual cones, related to the metric projection and…

Optimization and Control · Mathematics 2023-03-08 Akhtar A. Khan , Dezhou Kong , Jinlu Li

Here we have introduced the idea of rough convergence of sequences in a cone metric space. Also it has been investigated how far several basic properties of rough convergence as valid in a normed linear space are affected in a cone metric…

Metric Geometry · Mathematics 2018-05-28 Amar Kumar Banerjee , Rahul Mondal

In this paper we introduce an enhanced notion of extremal systems for sets in locally convex topological vector spaces and obtain efficient conditions for set extremality in the convex case. Then we apply this machinery to deriving new…

Optimization and Control · Mathematics 2016-10-03 Boris Mordukhovich , Nguyen Mau Nam

Suppose $C$ is a compact, $n$-edged two-cell of the centered dual decomposition of a locally finite set in the hyperbolic plane, a coarsening of the Delaunay tessellation which was introduced in the author's prior work. We describe an…

Metric Geometry · Mathematics 2017-03-02 Jason DeBlois

We give a sharp lower bound on the area of the domain enclosed by an embedded curve lying on a two-dimensional sphere, provided that geodesic curvature of this curve is bounded from below. Furthermore, we prove some dual inequalities for…

Differential Geometry · Mathematics 2016-05-31 Alexander Borisenko , Kostiantyn Drach

We discuss two variations of Edwards' duality theorem. More precisely, we prove one version of the theorem for cones not necessarily containing all constant functions. In particular, we allow the functions in the cone to have a non-empty…

Complex Variables · Mathematics 2023-09-25 Mårten Nilsson , Frank Wikström

This paper studies generalized truncated moment problems with unbounded sets. First, we study geometric properties of the truncated moment cone and its dual cone of nonnegative polynomials. By the technique of homogenization, we give a…

Numerical Analysis · Mathematics 2022-08-02 Lei Huang , Jiawang Nie , Ya-Xiang Yuan

Soft-thresholding has been widely used in neural networks. Its basic network structure is a two-layer convolution neural network with soft-thresholding. Due to the network's nature of nonlinearity and nonconvexity, the training process…

Machine Learning · Computer Science 2023-04-17 Chunyan Xiong , Mengli Lu , Xiaotong Yu , Jian Cao , Zhong Chen , Di Guo , Xiaobo Qu