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Related papers: On the convexity of piecewise-defined functions

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The purpose of the present article is to obtain the condition that the function defined by infinite composition of entire functions becomes an entire function. Moreover, as an example of such functions, we study a function called Poincare…

Complex Variables · Mathematics 2010-09-16 Shota Kojima

Given a strictly positive measure, we characterize inner semicontinuous solid convex-valued mappings for which continuous functions which are selections almost everywhere are selections. This class contains continuous mappings as well as…

Optimization and Control · Mathematics 2013-08-23 Ari-Pekka Perkkiö

Many problems of theoretical and practical interest involve finding an optimum over a family of convex functions. For instance, finding the projection on the convex functions in $H^k(\Omega)$, and optimizing functionals arising from some…

Numerical Analysis · Mathematics 2008-04-11 Néstor E. Aguilera , Pedro Morin

A method of proving local continuity of concave functions on convex set possessing the $\mu$-compactness property is presented. This method is based on a special approximation of these functions. The class of $\mu$-compact sets can be…

Functional Analysis · Mathematics 2010-06-22 M. E. Shirokov

In this paper, we prove the convexity of trace functionals $$(A,B,C)\mapsto \text{Tr}|B^{p}AC^{q}|^{s},$$ for parameters $(p,q,s)$ that are best possible, where $B$ and $C$ are any $n$-by-$n$ positive definite matrices, and $A$ is any…

Mathematical Physics · Physics 2023-07-11 Haonan Zhang

A function of a matrix is polyconvex when it can be expressed as a convex function of the matrix minors. Polyconvexity is a regularity condition ensuring existence of minimizers in nonlinear elasticity and, more broadly, in vectorial…

Optimization and Control · Mathematics 2026-04-14 Giovanni Fantuzzi , Didier Henrion , Martin Kru{ž}ík , Ajay Murali , Stephan Weis

Numerical solutions of differential equations are usually not smooth functions. However, they should resemble the smoothness of the corresponding real solutions in one way or another. In two of our recent papers, a kind of spacial…

Numerical Analysis · Mathematics 2012-07-13 Tong Sun

This work advances knowledge of the threshold of prox-boundedness of a function; an important concern in the use of proximal point optimization algorithms and in determining the existence of the Moreau envelope of the function. In finite…

Optimization and Control · Mathematics 2019-09-12 Chayne Planiden

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

In this study, after given the definition of soft sets and their basic operations we define convex soft sets which is an important concept for operation research, optimization and related problems. Then, we define concave soft sets and give…

General Mathematics · Mathematics 2013-07-19 Irfan Deli

We consider a class of functions defined on metric spaces which generalizes the concept of piecewise Lipschitz continuous functions on an interval or on polyhedral structures. The study of such functions requires the investigation of their…

General Topology · Mathematics 2021-12-14 Gunther Leobacher , Alexander Steinicke

Composite functions have been studied for over 40 years and appear in a wide range of optimization problems. Convex analysis of these functions focuses on (i) conditions for convexity of the function based on properties of its components,…

Optimization and Control · Mathematics 2026-01-19 Juan Pablo Vielma

The main goal of this paper is to present results of existence and non-existence of convex functions on Riemannian manifolds and, in the case of the existence, we associate such functions to the geometry of the manifold. Precisely, we prove…

Differential Geometry · Mathematics 2016-12-13 J. X. Cruz Neto , Ítalo Melo , Paulo Sousa

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

The notions of quasiconvexity, Wright convexity and convexity for functions defined on a metric Abelian group are introduced. Various characterizations of such functions, the structural properties of the functions classes so obtained are…

Classical Analysis and ODEs · Mathematics 2020-11-23 Włodzimierz Fechner , Zsolt Páles

We show that on a two-dimensional compact nontrapping manifold with strictly convex boundary, a piecewise constant function is determined by its integrals over geodesics. In higher dimensions, we obtain a similar result if the manifold…

Differential Geometry · Mathematics 2017-02-27 Joonas Ilmavirta , Jere Lehtonen , Mikko Salo

Detecting hidden convexity is one of the tools to address nonconvex minimization problems. After giving a formal definition of hidden convexity, we introduce the notion of conditional infimum, as it will prove instrumental in detecting…

Optimization and Control · Mathematics 2021-04-13 Jean-Philippe Chancelier , Michel de Lara

This paper presents necessary, sufficient, and equivalent conditions for the spherical convexity of non-homogeneous quadratic functions. In addition to motivating this study and identifying useful criteria for determining whether such…

Optimization and Control · Mathematics 2025-02-12 R. Bolton , S. Z. Németh

We show that domains, that allow for convex functions with unbounded gradient at their boundary, are convex.

Classical Analysis and ODEs · Mathematics 2007-05-23 Oliver C. Schnürer