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The Moreau envelope is one of the key convexity-preserving functional operations in convex analysis, and it is central to the development and analysis of many approaches for convex optimization. This paper develops the theory for an…

Optimization and Control · Mathematics 2019-02-05 Michael P. Friedlander , Ives Macêdo , Ting Kei Pong

Properties of 2-dimensional generalizations of sine functions that are symmetric or antisymmetric with respect to permutation of their two variables are described. It is shown that the functions are orthogonal when integrated over a finite…

Mathematical Physics · Physics 2010-09-24 Jiří Hrivnák , Lenka Motlochová , Jiří Patera

It is known that a Banach space has the strong diameter 2 property (i.e. every convex combination of slices of the unit ball has diameter 2) if and only if the norm on its dual space is octahedral (a notion introduced by Godefroy and…

Functional Analysis · Mathematics 2013-11-12 Rainis Haller , Johann Langemets , Märt Põldvere

Gowers norms have been studied extensively both in the direct sense, starting with a function and understanding the associated norm, and in the inverse sense, starting with the norm and deducing properties of the function. Instead of…

Combinatorics · Mathematics 2015-03-17 Bernard Host , Bryna Kra

We establish strong duality relations for functional two-step compositional risk-constrained learning problems with multiple nonconvex loss functions and/or learning constraints, regardless of nonconvexity and under a minimal set of…

Machine Learning · Computer Science 2023-12-05 Dionysis Kalogerias , Spyridon Pougkakiotis

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

It is well-known that every polyhedral cone is finitely generated (i.e. polytopal), and vice versa. Surprisingly, the two notions differ almost always for non-commutative versions of such cones. This was obtained as a byproduct in an…

Algebraic Geometry · Mathematics 2019-03-01 Beatrix Huber , Tim Netzer

This paper addresses the study and applications of polyhedral duality of locally convex topological vector (LCTV) spaces. We first revisit the classical Rockafellar's proper separation theorem for two convex sets one which is polyhedral and…

Optimization and Control · Mathematics 2021-09-21 Dang Van Cuong , Boris Mordukhovich , Nguyen Mau Nam , Sandine Gary

We study two notions of approximate Birkhoff-James orthogonality in a normed space, from a geometric point of view, and characterize them in terms of normal cones. We further explore the interconnection between normal cones and approximate…

Functional Analysis · Mathematics 2024-07-30 Debmalya Sain , Kallol Paul , Arpita mal

Pseudo-cones are a class of unbounded closed convex sets, not containing the origin. They admit a kind of polarity, called copolarity. With this, they can be considered as a counterpart to convex bodies containing the origin in the…

Metric Geometry · Mathematics 2023-10-24 Rolf Schneider

We consider a continuous-time linear time-invariant dynamical system that admits an invariant cone. For the case of a self-dual and homogeneous cone we show that if the system is asymptotically stable then it admits a quadratic Lyapunov…

Dynamical Systems · Mathematics 2023-09-21 Omri Dalin , Alexander Ovseevich , Michael Margaliot

We prove that every separable Banach space containing $\ell_1$ can be equivalently renormed so that its bidual space is octahedral, which answers, in the separable case, a question by Godefroy in 1989. As a direct consequence, we obtain…

Functional Analysis · Mathematics 2021-07-01 Johann Langemets , Ginés López-Pérez

Duality is most often defined as a relationship between convex functions. If those functions are nonconvex, classical duality breaks down. Notwithstanding, we show that another kind of duality still exists, not between the functions…

Optimization and Control · Mathematics 2026-05-19 Andrew Calcan , Jordan Collard , Alberto De Marchi , Scott B. Lindstrom

Homomorphism duality pairs play crucial role in the theory of relational structures and in the Constraint Satisfaction Problem. The case where both classes are finite is fully characterized. The case when both side are infinite seems to be…

Combinatorics · Mathematics 2015-06-04 Péter L. Erdős , Dömötör Pálvölgyi , Claude Tardif , Gábor Tardos

It is well-known that every convex function admits an affine support at every interior point of a domain. Convex functions of higher order (precisely of an odd order) have a similar property: they are supported by the polynomials of degree…

Functional Analysis · Mathematics 2008-07-28 Szymon Wasowicz

The convex and metric structures underlying probabilistic physical theories are generally described in terms of base normed vector spaces. According to a recent proposal, the purely geometrical features of these spaces are appropriately…

Mathematical Physics · Physics 2011-01-04 P. Busch

The Lyapunov rank of a proper cone $K$ in a finite dimensional real Hilbert space is defined as the dimension of the space of all Lyapunov-like transformations on $K$, or equivalently, the dimension of the Lie algebra of the automorphism…

Optimization and Control · Mathematics 2017-08-14 Juyoung Jeong , M. Seetharama Gowda

It is well-known that the convex and concave envelope of a multilinear polynomial over a box are polyhedral functions. Exponential-sized extended and projected formulations for these envelopes are also known. We consider the convexification…

Optimization and Control · Mathematics 2021-06-14 Yibo Xu , Warren Adams , Akshay Gupte

We study the space of orthogonally additive $n$-homogeneous polynomials on $C(K)$. There are two natural norms on this space. First, there is the usual supremum norm of uniform convergence on the closed unit ball. As every orthogonally…

Functional Analysis · Mathematics 2018-07-10 Christopher Boyd , Raymond A. Ryan , Nina Snigireva

Positive definite matrices abound in a dazzling variety of applications. This ubiquity can be in part attributed to their rich geometric structure: positive definite matrices form a self-dual convex cone whose strict interior is a…

Functional Analysis · Mathematics 2013-12-31 Suvrit Sra
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