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We establish Marstrand-type projection theorems for orthogonal projections along geodesics onto m-dimensional subspaces of hyperbolic $n$-space by a geometric argument. Moreover, we obtain a Besicovitch-Federer type characterization of…

Metric Geometry · Mathematics 2018-08-01 Zoltán M. Balogh , Annina Iseli

This paper introduces a method of calculating and rendering shapes in a non-Euclidean 2D space. In order to achieve this, we developed a physics and graphics engine that uses hyperbolic trigonometry to calculate and subsequently render the…

Graphics · Computer Science 2019-08-13 Daniil Osudin , Christopher Child , Yang-Hui He

Fix a point in a finite-dimensional complex vector space and consider the sequence of iterates of this point under the composition of a unitary map with the orthogonal projection on the hyperplane orthogonal to the starting point. We prove…

Quantum Physics · Physics 2021-08-10 Wojciech Słomczyński , Anna Szczepanek

It is well-known that the Euclidean plane has a standard 6-regular geodesic triangulation , and the unit sphere has a 5-regular geodesic triangulation, which is induced from the regular Dodecahedron, and the hyperbolic plane has an…

Geometric Topology · Mathematics 2022-04-27 Xiaoping Zhu

We describe a method for constructing $n$-orthogonal coordinate systems in constant curvature spaces. The construction proposed is a modification of Krichever's method for producing orthogonal curvilinear coordinate systems in the…

Differential Geometry · Mathematics 2024-11-12 Dmitry Berdinsky , Ivan Rybnikov

Given an Euclidean space, this paper elucidates the topological link between the partial derivatives of the Minkowski functional associated to a set (assumed to be compact, convex, with a differentiable boundary and a non-empty interior)…

Differential Geometry · Mathematics 2024-07-18 Gustave Bainier , Benoit Marx , Jean-Christophe Ponsart

In $\mathbb{R}^3$, a hyperbolic paraboloid is a classical saddle-shaped quadric surface. Recently, Elser has modeled problems arising in Deep Learning using rectangular hyperbolic paraboloids in $\mathbb{R}^n$. Motivated by his work, we…

Optimization and Control · Mathematics 2024-12-20 Heinz H. Bauschke , Manish Krishan Lal , Xianfu Wang

We obtain new inequalities for certain hypergeometric functions. Using these inequalities, we deduce estimates for the hyperbolic metric and the induced distance function on a certain canonical hyperbolic plane domain.

Complex Variables · Mathematics 2008-05-13 G. D. Anderson , T. Sugawa , M. K. Vamanamurthy , M. Vuorinen

We investigate several topics of triangle geometry in the elliptic and in the extended hyperbolic plane, such as: centers based on orthogonality, centers related to circumcircles and incircles, radical centers and centers of similitude,…

Metric Geometry · Mathematics 2019-08-30 Manfred Evers

Recent works have demonstrated promising performances of neural networks on hyperbolic spaces and symmetric positive definite (SPD) manifolds. These spaces belong to a family of Riemannian manifolds referred to as symmetric spaces of…

Machine Learning · Statistics 2026-01-06 Xuan Son Nguyen , Shuo Yang , Aymeric Histace

We study planar domains $G$ equipped with a hyperbolic type metric and approximate geodesics that join two points $x,y \in G$ and their lengths. We present an algorithm that enables one to approximate the shortest distance in polygonal…

Metric Geometry · Mathematics 2026-05-26 Shuliang Gao , Anni Hakanen , Antti Rasila , Matti Vuorinen

Timelike geodesics on a hyperplane orthogonal to the symmetry axis of the G\"odel spacetime appear to be elliptic-like if standard coordinates naturally adapted to the cylindrical symmetry are used. The orbit can then be suitably described…

General Relativity and Quantum Cosmology · Physics 2020-02-27 Donato Bini , Andrea Geralico , Robert T. Jantzen , Wolfango Plastino

We use reduced homogeneous coordinates to study Riemannian geometry of the octonionic (or Cayley) projective plane. Our method extends to the para-octonionic (or split octonionic) projective plane, the octonionic projective plane of…

Differential Geometry · Mathematics 2007-05-23 Rowena Held , Iva Stavrov , Brian VanKoten

Using the method of C. V\"or\"os, we establish results on hyperbolic plane geometry, related to triangles. In this note we investigate the orthocenter, the concept of isogonal conjugate and some further center as of the symmedian of a…

Metric Geometry · Mathematics 2014-10-27 Ákos G. Horváth

We study graphs coming from quadratic spaces over finite fields via orthogonality which generalize a recent result given by Bishnoi, Ihringer, and Pepe (2019). More precisely, we study the graph $\Gamma^{\square}(n,k,q)$ as follows: the…

Combinatorics · Mathematics 2020-04-24 Semin Yoo

We describe a new method for constructing a spectrahedral representation of the hyperbolicity region of a hyperbolic curve in the real projective plane. As a consequence, we show that if the curve is smooth and defined over the rational…

Algebraic Geometry · Mathematics 2019-12-25 Mario Kummer , Simone Naldi , Daniel Plaumann

We prove the existence of a hyperbolic surface spread over the sphere for which the projection map has all its singular values on the extended real line, and such that the preimage of the extended real line under the projection map is…

Complex Variables · Mathematics 2014-04-04 Lukas Geyer , Sergei Merenkov

In this work we present a useful way to introduce the octonionic projective and hyperbolic plane through the use of Veronese vectors. Then we focus on their relation with the exceptional Jordan algebra and show that the Veronese vectors are…

Rings and Algebras · Mathematics 2022-08-09 Daniele Corradetti , Alessio Marrani , David Chester , Raymond Aschheim

Using gnomonic projection and Poincar\'e model, we first define the spherical projection body and hyperbolic projection body in spherical space $\mathbb{S}^n$ and hyperbolic space $\mathbb{H}^n$, then define the spherical Steiner…

Metric Geometry · Mathematics 2024-06-21 Y. Lin , Y. Wu

Computer vision tasks such as image classification, image retrieval and few-shot learning are currently dominated by Euclidean and spherical embeddings, so that the final decisions about class belongings or the degree of similarity are made…

Computer Vision and Pattern Recognition · Computer Science 2020-04-01 Valentin Khrulkov , Leyla Mirvakhabova , Evgeniya Ustinova , Ivan Oseledets , Victor Lempitsky
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