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For a left vector space V over a totally ordered division ring F, let Co(V) denote the lattice of convex subsets of V. We prove that every lattice L can be embedded into Co(V) for some left F-vector space V. Furthermore, if L is finite…

General Mathematics · Mathematics 2007-05-23 Friedrich Wehrung , Marina V. Semenova

Copositivity of tensors plays an important role in vacuum stability of a general scalar potential, polynomial optimization, tensor complementarity problem and tensor generalized eigenvalue complementarity problem. In this paper, we propose…

Combinatorics · Mathematics 2016-11-24 Haibin Chen , Zhanghai Huang , Liqun Qi

We prove the existence of self-dual tensor products for finite-dimensional convex cones and operator systems. This is a consequence of a more general result: Every cone system, which is contained in its dual, can be enlarged to a self-dual…

Functional Analysis · Mathematics 2024-08-15 Tim Netzer

Proper cones with the property that the projection onto them is isotone with respect to the order they induce are called isotone projection cones. Isotone projection cones and their extensions have been used to solve complementarity…

Optimization and Control · Mathematics 2016-10-11 A. B. Németh , S. Z. Németh

We classify the orbits of elements of the tensor product spaces ${\mathbb{F}}^2\otimes {\mathbb{F}}^3 \otimes {\mathbb{F}}^3$ for all finite; real; and algebraically closed fields under the action of two natural groups. The result can also…

Combinatorics · Mathematics 2015-02-11 Michel Lavrauw , John Sheekey

We introduce the notion of one-sided mapping cones of positive linear maps between matrix algebras. These are convex cones of maps that are invariant under compositions by completely positive maps from either the left or right side. The…

Operator Algebras · Mathematics 2022-11-17 Mark Girard , Seung-Hyeok Kye , Erling Størmer

The projection onto the intersection of sets generally does not allow for a closed form even when the individual projection operators have explicit descriptions. In this work, we systematically analyze the projection onto the intersection…

Optimization and Control · Mathematics 2018-04-16 Heinz H. Bauschke , Minh N. Bui , Xianfu Wang

The concept of coreflexive set is introduced to study the structure of digraphs. New characterizations of line digraphs and nth-order line digraphs are given. Coreflexive sets also lead to another natural way of forming an intersection…

Combinatorics · Mathematics 2007-05-23 Xinming Liu , Douglas B. West

We investigate the semigroup of integer points inside a convex cone. We extend classical results in integer linear programming to integer conic programming. We show that the semigroup associated with nonpolyhedral cones can sometimes have a…

Optimization and Control · Mathematics 2025-02-19 Jesús A. De Loera , Brittney Marsters , Luze Xu , Shixuan Zhang

We generalize the tensor product theory for modules for a vertex operator algebra previously developed in a series of papers by the first two authors to suitable module categories for a ''conformal vertex algebra'' or even more generally,…

Quantum Algebra · Mathematics 2008-07-07 Yi-Zhi Huang , James Lepowsky , Lin Zhang

For a given polyhedral convex set-valued mapping we define a polyhedral convex cone which we call the natural ordering cone. We show that the solution behavior of a polyhedral convex set optimization problem can be characterized by this…

Optimization and Control · Mathematics 2024-07-02 Andreas Löhne

Asymmetric vector norms are generalizations of asymmetric norms, where the subadditivity inequality is understood in ordered vector space sense. This relation imposes strong conditions on the ordering itself. This note studies on these…

Functional Analysis · Mathematics 2020-05-22 A. B. Németh , S. Z. Németh

This paper investigates the cohomological property of vector bundles on biprojective space. We will give a criterion for a vector bundle to be isomorphic to the tensor product of pullbacks of exterior products of differential sheaves.

Algebraic Geometry · Mathematics 2018-01-09 Francesco Malaspina , Chikashi Miyazaki

In this paper, we study main properties of cone normed spaces, and prove some theorems of weighted means in cone normed spaces.

Functional Analysis · Mathematics 2010-06-29 Ayse Sonmez , Huseyin Cakalli

In applications that use knowledge representation (KR) techniques, in particular those that combine data-driven and logic methods, the domain of objects is not an abstract unstructured domain, but it exhibits a dedicated, deep structure of…

Artificial Intelligence · Computer Science 2020-08-10 Mena Leemhuis , Özgür L. Özçep , Diedrich Wolter

Two successive generalizations of the usual tensor products are given. One can be constructed for arbitrary binary operations, and not only for semigroups, groups or vector spaces. The second one, still more general, is constructed for…

General Mathematics · Mathematics 2008-10-31 Elemer E Rosinger

A wedge (i.e., a closed nonempty set in the Euclidean space stable under addition and multiplication with non-negative scalars) induces by a standard way a semi-order (a reflexive and transitive binary relation) in the space. The wedges…

Optimization and Control · Mathematics 2012-01-24 A. B. Németh , S. Z. Németh

As the Internet grows in size, so does the amount of text based information that exists. For many application spaces it is paramount to isolate and identify texts that relate to a particular topic. While one-class classification would be…

Artificial Intelligence · Computer Science 2021-11-02 Sameer Khanna

We provide an overview of the hybrid compositional distributional model of meaning, developed in Coecke et al. (arXiv:1003.4394v1 [cs.CL]), which is based on the categorical methods also applied to the analysis of information flow in…

Computation and Language · Computer Science 2011-06-08 Mehrnoosh Sadrzadeh , Edward Grefenstette

Recently, generative adversarial networks have gained a lot of popularity for image generation tasks. However, such models are associated with complex learning mechanisms and demand very large relevant datasets. This work borrows concepts…

Machine Learning · Computer Science 2018-09-28 Shagan Sah , Chi Zhang , Thang Nguyen , Dheeraj Kumar Peri , Ameya Shringi , Raymond Ptucha