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Related papers: Exploring Convexity in Normed Spaces

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We introduce and study a generalized concept of boundedness of a subset of a normed vector space with respect to a cone, which is defined as lower boundedness of the images of the underlying set through all the positive functionals of the…

Optimization and Control · Mathematics 2026-01-13 Marius Durea , Elena-Cristina Stamate

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

Some boundedness properties of function spaces (considered as topological groups) are studied.

General Topology · Mathematics 2017-10-31 L'ubica Holá , Ljubiša D. R. Kočinac

In the paper, we introduce the generalized convex function on fractal sets of real line numbers and study the properties of the generalized convex function. Based on these properties, we establish the generalized Jensen inequality and…

Classical Analysis and ODEs · Mathematics 2014-06-30 Huixia Mo , Xin Sui , Dongyan Yu

Some inequalities for different types of convexity are established.

Classical Analysis and ODEs · Mathematics 2013-09-27 Merve Avci Ardic

The concept of angle, angle functions, and the question how to measure angles present old and well-established mathematical topics referring to Euclidean space, and there exist also various extensions to non-Euclidean spaces of different…

Metric Geometry · Mathematics 2016-07-26 Vitor Balestro , Ákos G. Horváth , Horst Martini , Ralph Teixeira

In the present paper, the following convexity principle is proved: any closed convex multifunction, which is metrically regular in a certain uniform sense near a given point, carries small balls centered at that point to convex sets, even…

Optimization and Control · Mathematics 2015-04-13 Amos Uderzo

It is shown that a Banach space with locally uniformly convex dual admits an equivalent norm which is itself locally uniformly convex. It follows that on any such space all continuous real-valued functions may be uniformly approximated by…

Functional Analysis · Mathematics 2007-05-23 Richard Haydon

Convex optimization is a vibrant and successful area due to the existence of a variety of efficient algorithms that leverage the rich structure provided by convexity. Convexity of a smooth set or a function in a Euclidean space is defined…

Optimization and Control · Mathematics 2018-06-19 Nisheeth K. Vishnoi

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

In this paper we give a simple proof of inequalities of integrals of functions which are the composition of nonnegative continous convex functions on a vector space ${\bf R}^m$ and vector-valued functions in a weakly compact subset of a…

Functional Analysis · Mathematics 2007-08-27 Zhenglu Jiang , Xiaoyong Fu , Hongjiong Tian

We establish a maximum principle for a two-point function in order to analyze the convexity of level sets of harmonic functions. We show that this can be used to prove a strict convexity result involving the smallest principal curvature of…

Analysis of PDEs · Mathematics 2018-04-25 Ben Weinkove

In this paper, we approach the question if some of the separation axioms are equivalent in the class of asymmetric normed spaces. In particular, we make a remark on a known theorem which states that every $T_1$ asymmetric normed space with…

General Topology · Mathematics 2019-05-10 Victor Donjuán , Natalia Jonard-Pérez

We discuss the geometry of Banach spaces whose norm is octahedral or, more generally, locally or weakly octahedral. Our main results characterize these spaces in terms of covering of the unit ball.

Functional Analysis · Mathematics 2014-10-15 Rainis Haller , Johann Langemets

As science and engineering have become increasingly data-driven, the role of optimization has expanded to touch almost every stage of the data analysis pipeline, from signal and data acquisition to modeling and prediction. The optimization…

Machine Learning · Computer Science 2022-07-12 Yuqian Zhang , Qing Qu , John Wright

We study convex subsets of buildings, discuss some structural features and derive several characterizations of buildings.

Metric Geometry · Mathematics 2007-05-23 Andreas Balser , Alexander Lytchak

The targets of this article are threefold. The first one is to give a survey on the recent developments of function spaces with mixed norms, including mixed Lebesgue spaces, iterated weak Lebesgue spaces, weak mixed-norm Lebesgue spaces and…

Classical Analysis and ODEs · Mathematics 2019-08-12 Long Huang , Dachun Yang

We introduce and initiate the study of new parameters associated with any norm and any log-concave measure on $\mathbb R^n$, which provide sharp distributional inequalities. In the Gaussian context this investigation sheds light to the…

Functional Analysis · Mathematics 2017-10-23 Grigoris Paouris , Petros Valettas

Sampling theory in spaces other than the space of band-limited functions has recently received considerable attention. This is in part because the band-limitedness assumption is not very realistic in many applications. In addition,…

Classical Analysis and ODEs · Mathematics 2007-05-23 Cristina Blanco , Carlos Cabrelli , Sigrid Heineken

Geometrical structures intrinsic to non-expanding, weakly isolated and isolated horizons are analyzed and compared with structures which arise in other contexts within general relativity, e.g., at null infinity. In particular, we address in…

General Relativity and Quantum Cosmology · Physics 2011-07-19 Abhay Ashtekar , Christopher Beetle , Jerzy Lewandowski