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This paper studies the strong quasiconvexity of norm and distance functions in finite-dimensional normed spaces. Although the Euclidean norm is known to be strongly quasiconvex on bounded convex sets, a complete characterization of this…

Optimization and Control · Mathematics 2026-05-26 V. S. T. Long , N. M. Nam

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

Normed spaces appear to have very little going for them: aside from the hackneyed linear structure, you get a norm whose only virtue, aside from separating points, is the Triangle Inequality. What could you possibly prove with that? As it…

Functional Analysis · Mathematics 2024-05-24 Ryan Luis Acosta Babb

We study relations of some classes of $k$-convex, $k$-visible bodies in Euclidean spaces. We introduce and study \textrm{circular projections} in normed linear spaces and classes of bodies related with families of such maps, in particular,…

Metric Geometry · Mathematics 2015-12-31 V. Golubyatnikov V. Rovenski

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

We geometrically analyze the problem of estimating parameters related to the shape and size of a two-dimensional target object on the plane by using randomly distributed distance sensors whose locations are unknown. Based on the analysis…

Information Theory · Computer Science 2017-07-20 Hiroshi Saito , Hirotada Honda

We study some properties convex functions fulfill. Among the conclusions we obtain from such result, we are able to prove some nontrivial inequalities among real numbers, and we give an improvement of the reverse triangle inequality in the…

We quickly review and make some comments on the concept of convexity in metric spaces due to Takahashi. Then we introduce a concept of convex structure based convexity to functions on these spaces and refer to it as $W-$convexity.…

Functional Analysis · Mathematics 2015-09-01 Ahmed A. Abdelhakim

Typically, when we are given the section (or projection) function of a convex body, it means that in each direction we know the size of the central section (or projection) perpendicular to this direction. Suppose now that we can only get…

Metric Geometry · Mathematics 2017-05-04 Jaegil Kim , Vladyslav Yaskin , Artem Zvavitch

In convex geometry, the constructions that assign to a convex body its difference body, projection body, or volume have the following properties: They are (1) invariant under volume-preserving linear changes of coordinates; (2) continuous;…

Metric Geometry · Mathematics 2024-02-12 Jakob Henkel , Thomas Wannerer

The notion of a valuation on convex bodies is very classical. The notion of a valuation on a class of functions was recently introduced and studied by M. Ludwig and others. We study an explicit relation between continuous valuations on…

Metric Geometry · Mathematics 2017-04-04 Semyon Alesker

The paper studies a general scheme for constructing metrics on a product of metric spaces by means of a family of continuous convex functions. This construction includes the conventional $p$-metrics and generates metrics that are…

Metric Geometry · Mathematics 2026-01-23 Doan Huu Hieu , Vo Minh Tam , Nguyen Duy Cuong

In this paper an idea of soft linear spaces and soft norm on soft linear spaces are given and some of their properties are studied. Soft vectors in soft linear spaces are introduced and their properties are studied. Completeness of soft…

General Mathematics · Mathematics 2013-08-06 Sujoy Das , Pinaki Majumdar , S. K. Samanta

We give a statement on extension with estimates of convex functions defined on a linear subspace, inspired by similar extension results concerning metrics on positive line bundles

Functional Analysis · Mathematics 2008-06-10 Bo Berndtsson

Some concepts, such as non-compactness measure and condensing operators, defined on metric spaces are extended to uniform spaces. Such extensions allow us to locate, in the context of uniform spaces, some classical results existing in…

General Topology · Mathematics 2015-11-25 Raúl Fierro

The paper studies primal and dual characterizations of a class of sign-symmetric norms on product vector spaces. Correspondences between these norms and a class of convex functions are established. Explicit formulas for the dual norm and…

Functional Analysis · Mathematics 2026-04-29 Nguyen Duy Cuong

We establish how a two-dimensional local field can be described as a locally convex space once an embedding of a local field into it has been fixed. We study the resulting spaces from a functional analytic point of view: in particular we…

Number Theory · Mathematics 2013-01-31 Alberto Camara

Convexity and convex functions play an important role in theoretical physics. To initiate a study of the possible uses of convex functions in General Relativity, we discuss the consequences of a spacetime $(M,g_{\mu \nu})$ or an initial…

General Relativity and Quantum Cosmology · Physics 2009-10-07 Gary W. Gibbons , Akihiro Ishibashi

Convexity and convex functions play an important role in theoretical physics. To initiate a study of the possible uses of convex functions in General Relativity, we discuss the consequences of a spacetime $(M,g_{\mu \nu})$ or an initial…

Differential Geometry · Mathematics 2017-02-21 Gary W. Gibbons , Akihiro Ishibashi

We treat the classical notion of convexity in the context of hard real analysis. Definitions of the concept are given in terms of defining functions and quadratic forms, and characterizations are provided of different concrete notions of…

Classical Analysis and ODEs · Mathematics 2009-09-01 Steven G. Krantz
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