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The numerical range of a matrix is studied geometrically via the cone of positive semidefinite matrices (or semidefinite cone for short). In particular it is shown that the feasible set of a two-dimensional linear matrix inequality (LMI),…

Optimization and Control · Mathematics 2008-12-10 Didier Henrion

In this note we obtain the characterization for asymptotic directions on various subgroups of the diffeomorphism group. We give a simple proof of non-existence of such directions for area-preserving diffeomorphisms of closed surfaces of…

Differential Geometry · Mathematics 2007-05-23 Boris Khesin , Gerard Misiolek

We give an elaborated treatment of discrete isothermic surfaces and their analogs in different geometries (projective, M\"obius, Laguerre, Lie). We find the core of the theory to be a novel projective characterization of discrete isothermic…

Differential Geometry · Mathematics 2009-11-11 Alexander I. Bobenko , Yuri B. Suris

We study here systems of symmetries on $|1|$--graded parabolic geometries. We are interested in smooth systems of symmetries and we discuss non--flat homogeneous $|1|$--graded geometries. We show the existence of an invariant admissible…

Differential Geometry · Mathematics 2010-01-26 Lenka Zalabova

Convex geometry has recently attracted great attention as a framework to formulate general probabilistic theories. In this framework, convex sets and affine maps represent the state spaces of physical systems and the possible dynamics,…

Geometric Topology · Mathematics 2015-06-10 Gen Kimura , Koji Nuida

A line field on a manifold is a smooth map which assigns a tangent line to all but a finite number of points of the manifold. As such, it can be seen as a generalization of vector fields. They model a number of geometric and physical…

Geometric Topology · Mathematics 2017-12-29 Thomas Lewiner , Tiago Novello , Joao Paixao , Carlos Tomei

Solutions to network optimization problems have greatly benefited from developments in nonlinear analysis, and, in particular, from developments in convex optimization. A key concept that has made convex and nonconvex analysis an important…

Information Theory · Computer Science 2017-08-07 R. L. G. Cavalcante , S. Stanczak

We introduced in a previous paper a general notion of asymptotic morphism of a given local net of observables, which allows to describe the sectors of a corresponding scaling limit net. Here, as an application, we illustrate the general…

Mathematical Physics · Physics 2019-10-02 Roberto Conti , Gerardo Morsella

We investigate pinning regions and unpinning asymptotics in nonlocal equations. We show that phenomena are related to but different from pinning in discrete and inhomogeneous media. We establish unpinning asymptotics using geometric…

Dynamical Systems · Mathematics 2014-09-12 Taylor Anderson , Gregory Faye , Arnd Scheel , David Stauffer

We investigate invariant random fields on the sphere using a new type of spherical wavelets, called needlets. These are compactly supported in frequency and enjoy excellent localization properties in real space, with quasi-exponentially…

Statistics Theory · Mathematics 2009-09-29 P. Baldi , G. Kerkyacharian , D. Marinucci , D. Picard

We prove that if $\Omega$ is a simply connected quadrature domain for a distribution with compact support and the infinity point belongs the boundary, then the boundary has an asymptotic curve that is either a straight line or a parabola or…

Complex Variables · Mathematics 2014-11-03 Lavi Karp

This paper studies the discrete differential geometry of the checkerboard pattern inscribed in a quadrilateral net by connecting edge midpoints. It turns out to be a versatile tool which allows us to consistently define principal nets,…

Differential Geometry · Mathematics 2022-05-05 Felix Dellinger

Given a bi-invariant metric on a group, we construct a version of an asymptotic cone without using ultrafilters. The new construction, called the directional asymptotic cone, is a contractible topological group equipped with a complete…

Group Theory · Mathematics 2023-08-07 Jarek Kędra , Assaf Libman

We define discrete constant mean curvature (cmc) surfaces in the three-dimensional Euclidean and Lorentz spaces in terms of sphere packings with orthogonally intersecting circles. These discrete cmc surfaces can be constructed from…

Differential Geometry · Mathematics 2024-10-14 Alexander I. Bobenko , Tim Hoffmann , Nina Smeenk

We begin the study of completeness of affine connections, especially those on statistical manifolds as well as on affine hypersurfaces. We collect basic facts, prove new theorems and provide examples with remarkable properties.

Differential Geometry · Mathematics 2020-03-27 Barbara Opozda

Differential calculus on discrete sets is developed in the spirit of noncommutative geometry. Any differential algebra on a discrete set can be regarded as a `reduction' of the `universal differential algebra' and this allows a systematic…

High Energy Physics - Theory · Physics 2009-10-28 A. Dimakis , F. Müller-Hoissen

This survey article is about discrete constant mean curvature surfaces defined by an approach related to integrable systems techniques. We introduce the notion of discrete constant mean curvature surfaces by first introducing properties of…

Differential Geometry · Mathematics 2010-10-12 Wayne Rossman

We show that nonlocal reductions of systems of integrable nonlinear partial differential equations are the special discrete symmetry transformations.

Exactly Solvable and Integrable Systems · Physics 2020-01-08 Metin Gürses , Aslı Pekcan , Konstyantyn Zheltukhin

In this lectures various methods which give a possibility to extend an area of applicability of perturbation series and hence to omit their local character are analysed. While applying asymptotic methods as a rule the following situation…

Mathematical Physics · Physics 2015-03-19 I. V. Andrianov , H. Topol

We give a formal procedure for computing preimages of convolutional network outputs using the dual basis defined from the set of hyperplanes associated with the layers of the network. We point out the special symmetry associated with…

Machine Learning · Computer Science 2019-05-23 Stefan Carlsson
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