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Related papers: Antinorms on cones: duality and applications

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An antinorm is a concave analogue of a norm. In contrast to norms, antinorms are not defined on the entire space $R^d$ but on a cone $K\subset R^d$. They are applied in the matrix analysis, optimal control, and dynamical systems. Their…

Metric Geometry · Mathematics 2024-07-08 Maxim Makarov , Vladimir Yu. Protasov

A pointed convex cone naturally induces a partial order, and further a notion of nondecreasingness for functions. We consider extended real-valued functions defined on the cone. Monotone conjugates for these functions can be defined in an…

Functional Analysis · Mathematics 2022-06-28 Hong-Bin Chen , Jiaming Xia

Convexity is an important notion in non linear optimization theory as well as in infinite dimensional functional analysis. As will be seen below, very simple and powerful tools will be derived from elementary duality arguments (which are…

Functional Analysis · Mathematics 2020-04-21 Guy Bouchitte

Angular equivalence is introduced and shown to be an equivalence relation among the norms on a fixed real vector space. It is a finer notion than the usual (topological) notion of norm equivalence. Angularly equivalent norms share certain…

Functional Analysis · Mathematics 2023-01-18 Eder Kikianty , Gord Sinnamon

The aim of this paper is to present a survey of some recent results obtained in the study of spaces with asymmetric norm. The presentation follows the ideas from the theory of normed spaces (topology, continuous linear operators, continuous…

Functional Analysis · Mathematics 2016-08-14 S. Cobzaş

This paper will generalize what may be termed the "geometric duality theory" of real pre-ordered Banach spaces which relates geometric properties of a closed cone in a real Banach space, to geometric properties of the dual cone in the dual…

Functional Analysis · Mathematics 2015-10-30 Miek Messerschmidt

We analyze self-dual polyhedral cones and prove several properties about their slack matrices. In particular, we show that self-duality is equivalent to the existence of a positive semidefinite (PSD) slack. Beyond that, we show that if the…

Optimization and Control · Mathematics 2023-10-20 João Gouveia , Bruno F. Lourenço

A convex cone is homogeneous if its automorphism group acts transitively on the interior of the cone, i.e., for every pair of points in the interior of the cone, there exists a cone automorphism that maps one point to the other. Cones that…

Optimization and Control · Mathematics 2022-11-03 Levent Tunçel , Lieven Vandenberghe

For finite-dimensional linear semigroups which leave a proper cone invariant it is shown that irreducibility with respect to the cone implies the existence of an extremal norm. In case the cone is simplicial a similar statement applies to…

Dynamical Systems · Mathematics 2013-06-18 Oliver Mason , Fabian Wirth

A solvency cone is a polyhedral convex cone which is used in Mathematical Finance to model proportional transaction costs. It consists of those portfolios which can be traded into nonnegative positions. In this note, we provide a…

Optimization and Control · Mathematics 2024-01-26 Andreas Löhne , Birgit Rudloff

We investigate metric projections and distance functions referring to convex bodies in finite-dimensional normed spaces. For this purpose we identify the vector space with its dual space by using, instead of the usual identification via the…

Metric Geometry · Mathematics 2019-08-26 Vitor Balestro , Horst Martini , Ralph Teixeira

In this note, we study monotone dynamical systems with respect to polyhedral cones. Using the half-space representation and the vertex representation, we propose three equivalent conditions to certify monotonicity of a dynamical system with…

Optimization and Control · Mathematics 2024-09-04 Saber Jafarpour , Samuel Coogan

A continuous cohomology theory for topological quandles is introduced, and compared to the algebraic theories. Extensions of topological quandles are studied with respect to continuous 2-cocycles, and used to show the differences in second…

Geometric Topology · Mathematics 2020-08-04 Mohamed Elhamdadi , Masahico Saito , Emanuele Zappala

We examine the duality theory for a class of non-convex functions obtained by composing a convex function with a continuous one. Using Fenchel duality, we derive a dual problem that satisfies weak duality under general assumptions. To…

Optimization and Control · Mathematics 2025-10-08 Vittorio Latorre

Angular equivalence of norms is introduced by Kikianty and Sinnamon (2017) and is a stronger notion than the usual topological equivalence. Given two angularly equivalent norms, if one norm has a certain geometrical property, e.g. uniform…

Functional Analysis · Mathematics 2022-02-01 Eder Kikianty

For a primal-dual pair of conic linear problems that are described by convex cones $S\subset X$, $T\subset Y$, bilinear symmetric objective functions $\langle\cdot,\cdot\rangle_X$, $\langle\cdot,\cdot\rangle_Y$ and a linear operator…

Optimization and Control · Mathematics 2023-01-23 Nick Dimou

Some subadditivity results involving symmetric (unitarily invariant) norms are obtained. For instance, if $g(t)=\sum_{k=0}^m a_kt^k$ is a polynomial of degree $m$ with non-negative coefficients, then, for all positive operators $A,\,B$ and…

Functional Analysis · Mathematics 2011-02-08 Jean-Christophe Bourin , Fumio Hiai

A Banach space (or its norm) is said to have the diameter $2$ property (D$2$P in short) if every nonempty relatively weakly open subset of its closed unit ball has diameter $2$. We construct an equivalent norm on $L_1[0,1]$ which is weakly…

Functional Analysis · Mathematics 2022-12-29 Olav Nygaard , Märt Põldvere , Stanimir Troyansky , Tauri Viil

The classical concept of Fenchel conjugation is tailored to extended real-valued functions defined on linear spaces. In this paper we generalize this concept to functions defined on arbitrary sets that do not necessarily bear any structure…

Functional Analysis · Mathematics 2024-09-11 Anton Schiela , Roland Herzog , Ronny Bergmann

In this paper we associate with an infinite family of real extended functions defined on a locally convex space, a sum, called robust sum, which is always well-defined. We also associate with that family of functions a dual pair of problems…

Optimization and Control · Mathematics 2018-11-07 Nguyen Dinh , Miguel A. Goberna , Michel Volle
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