English
Related papers

Related papers: Convexity and Cone-Vexing

200 papers

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

The topics of Convexity and Concavity and Envelopes are central in Complex Analysis and extensively investigated. The aim of this paper is to find a possible counterpart in Algebraic Geometry. The article presents preliminary results on…

Complex Variables · Mathematics 2025-11-12 Giuseppe Tomassini

In his work on log-concavity of multiplicities, Okounkov showed in passing that one could associate a convex body to a linear series on a projective variety, and then use convex geometry to study such linear systems. Although Okounkov was…

Algebraic Geometry · Mathematics 2008-05-30 Robert Lazarsfeld , Mircea Mustata

The rigidity theorems of Alexandrov (1950) and Stoker (1968) are classical results in the theory of convex polyhedra. In this paper we prove analogues of them for normal (resp., standard) ball-polyhedra. Here, a ball-polyhedron means an…

Metric Geometry · Mathematics 2014-02-07 Karoly Bezdek

The following is a compilation of some techniques in Alexandrov's geometry which are directly connected to convexity.

Differential Geometry · Mathematics 2018-07-09 Anton Petrunin

Abstract. In this paper we prove several rigidity theorems related to and including Lytchak's problem. The focus is on Alexandrov spaces with \curv\geq1, nonempty boundary, and maximal radius \frac{\pi}{2}. We exhibit many such spaces that…

Differential Geometry · Mathematics 2022-11-09 Karsten Grove , Peter Petersen

In this work, we show the intrinsic relations between optimal transportation and convex geometry, especially the variational approach to solve Alexandrov problem: constructing a convex polytope with prescribed face normals and volumes. This…

Machine Learning · Computer Science 2017-12-20 Na Lei , Kehua Su , Li Cui , Shing-Tung Yau , David Xianfeng Gu

A key idea in convex optimization theory is to use well-structured affine functions to approximate general functions, leading to impactful developments in conjugate functions and convex duality theory. This raises the question: what are the…

Optimization and Control · Mathematics 2025-04-22 Ningji Wei

This is a survey paper on various results relates to the following theorem first proved by A.D. Alexandrov: \textit{Let $S$ be an analytic convex sphere-homeomorphic surface in $\mathbb R^3$ and let $k_1(\boldsymbol{x})\leqslant…

Differential Geometry · Mathematics 2012-12-21 Victor Alexandrov

We start with a short exposition of developments in physics and mathematics that preceded, formed the basis for, or accompanied, the birth of deformation quantization in the seventies. We indicate how the latter is at least a viable…

Quantum Algebra · Mathematics 2007-05-23 Giuseppe Dito , Daniel Sternheimer

Alexandrov spaces are defined via axioms similar to those given by Euclid. The Alexandrov axioms replace certain equalities with inequalities. Depending on the signs of the inequalities, we obtain Alexandrov spaces with curvature bounded…

Differential Geometry · Mathematics 2023-06-13 Stephanie Alexander , Vitali Kapovitch , Anton Petrunin

This article is dedicated to the centenary of the birth of Aleksandr D. Alexandrov (1912-1999). His functional-analytical approach to the solving of the Minkowski problem is examined and applied to the extremal problems of isoperimetric…

Metric Geometry · Mathematics 2012-09-03 S. S. Kutateladze

In this paper, we introduce methods from convex optimization to solve the multimarginal transport type problems arise in the context of density functional theory. Convex relaxations are used to provide outer approximation to the set of…

Optimization and Control · Mathematics 2018-08-15 Yuehaw Khoo , Lexing Ying

Statistical decision problems lie at the heart of statistical machine learning. The simplest problems are binary and multiclass classification and class probability estimation. Central to their definition is the choice of loss function,…

Machine Learning · Computer Science 2023-08-21 Robert C. Williamson , Zac Cranko

In this paper various notions of convexity of real functions with respect to Chebyshev systems defined over arbitrary subsets of the real line are introduced. As an auxiliary notion, a concept of a relevant divided difference and also a…

Classical Analysis and ODEs · Mathematics 2017-06-29 Zsolt Páles , Éva Székelyné Radácsi

Convex Integration is a theory developed in the '70s by M. Gromov. This theory allows to solve families of differential problems satisfying some convex assumptions. From a subsolution, the theory iteratively builds a solution by applying a…

Differential Geometry · Mathematics 2020-06-11 Mélanie Theillière

The separation of two sets (or more specific of two cones) plays an important role in different fields of mathematics such as variational analysis, convex analysis, convex geometry, optimization. In the paper, we derive some new results for…

Functional Analysis · Mathematics 2023-08-04 Christian Günther , Bahareh Khazayel , Christiane Tammer

The main purpose of this paper is to introduce various convexity concepts in terms of a positive Chebyshev system $\omega$ and give a systematic investigation of the relations among them. We generalize a celebrated theorem of…

Classical Analysis and ODEs · Mathematics 2023-03-22 Zsolt Páles , Mahmood Kamil Shihab

In the paper, we give rigidity theorems when the glued space of two Alexandrov spapces with curvature bounded below is a suspension, cone or join. And we list some basic properties of joins in Appendix.

Metric Geometry · Mathematics 2013-09-05 Xiaole Su , Hongwei Sun , Yusheng Wang

We present several analogies between convex geometry and the theory of holomorphic line bundles on smooth projective varieties or K\"ahler manifolds. We study the relation between positive products and mixed volumes. We define and study a…

Algebraic Geometry · Mathematics 2023-06-22 Brian Lehmann , Jian Xiao