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We consider the problem of minimizing the relative perimeter under a volume constraint in an unbounded convex body $C\subset \mathbb{R}^{n+1}$, without assuming any further regularity on the boundary of $C$. Motivated by an example of an…

Metric Geometry · Mathematics 2016-06-27 Gian Paolo Leonardi , Manuel Ritoré , Efstratios Vernadakis

The Delaunay tessellation of a locally finite subset of hyperbolic space is constructed using convex hulls in Euclidean space of one higher dimension. For finite and lattice-invariant sets it is proven to be a polyhedral decomposition, and…

Geometric Topology · Mathematics 2016-08-09 Jason DeBlois

We present an efficient algorithm for uniformly sampling from an arbitrary compact body $\mathcal{X} \subset \mathbb{R}^n$ from a warm start under isoperimetry and a natural volume growth condition. Our result provides a substantial common…

Data Structures and Algorithms · Computer Science 2026-03-27 Santosh S. Vempala , Andre Wibisono

We study hyperbolized versions of cohomological equations that appear with cocycles by isometries of the euclidean space. These (hyperbolized versions of) equations have a unique continuous solution. We concentrate in to know whether or not…

Dynamical Systems · Mathematics 2019-02-20 Mario Ponce

We consider the global evolution problem for Einstein's field equations in the near-Minkowski regime and study the long-time dynamics of a massive scalar field evolving under its own gravitational field. We establish the existence of a…

General Relativity and Quantum Cosmology · Physics 2024-03-06 Philippe G. LeFloch , Yue Ma

Robust generalization beyond training distributions remains a critical challenge for deep neural networks. This is especially pronounced in medical image analysis, where data is often scarce and covariate shifts arise from different…

Computer Vision and Pattern Recognition · Computer Science 2026-02-04 Francesco Di Salvo , Sebastian Doerrich , Jonas Alle , Christian Ledig

This paper studies the locally uniform exponential growth and product set growth for a finitely generated group $G$ acting properly on a finite product of hyperbolic spaces. Under the assumption of coarsely dense orbits or shadowing…

Group Theory · Mathematics 2024-07-23 Renxing Wan , Wenyuan Yang

We investigate the existence, convergence and uniqueness of modified general curvature flow of convex hypersurfaces in hyperbolic space with a prescribed asymptotic boundary.

Differential Geometry · Mathematics 2011-06-23 Ling Xiao

Asymptotic expansions are derived for solutions of the parabolic cylinder and Weber differential equations. In addition the inhomogeneous versions of the equations are considered, for the case of polynomial forcing terms. The expansions…

Classical Analysis and ODEs · Mathematics 2021-03-02 T. M. Dunster

Hyperbolic spaces, which have the capacity to embed tree structures without distortion owing to their exponential volume growth, have recently been applied to machine learning to better capture the hierarchical nature of data. In this…

Machine Learning · Computer Science 2021-03-18 Ryohei Shimizu , Yusuke Mukuta , Tatsuya Harada

Given a closed hyperbolic surface $S$, let $\cQF$ denote the space of quasifuchsian hyperbolic metrics on $S\times\R$ and $\cGH_{-1}$ the space of maximal globally hyperbolic anti-de Sitter metrics on $S\times\R$. We describe natural maps…

Differential Geometry · Mathematics 2018-09-05 Carlos Scarinci , Jean-Marc Schlenker

Extending Blaschke and Lebesgue's classical result in the Euclidean plane, it has been recently proved in spherical and the hyperbolic cases, as well, that Reuleaux triangles have the minimal area among convex domains of constant width $D$.…

Metric Geometry · Mathematics 2022-04-01 Karoly J. Boroczky , Adam Sagmeister

A ``Wick rotation'' is applied to the noncommutative sphere to produce a noncommutative version of the hyperboloids. A harmonic basis of the associated algebra is given. It is noted that, for the one sheeted hyperboloid, the vector space…

Quantum Algebra · Mathematics 2007-05-23 Jonathan Gratus

We present a rotated hyperbolic wrapped normal distribution (RoWN), a simple yet effective alteration of a hyperbolic wrapped normal distribution (HWN). The HWN expands the domain of probabilistic modeling from Euclidean to hyperbolic…

Machine Learning · Computer Science 2022-10-14 Seunghyuk Cho , Juyong Lee , Jaesik Park , Dongwoo Kim

In this paper by using $W_{n}$-mapping, we introduce a composite iterative method for finding a common fixed point for infinite family of nonexpansive mappings and a solution of a certain variational inequality. Furthermore, the strong…

Functional Analysis · Mathematics 2013-08-19 Vahid Darvish , S. M. Vaezpour

We give an infinite dimensional generalized Weierstrass representation for spacelike constant mean curvature (CMC) surfaces in Minkowski 3-space $\real^{2,1}$. The formulation is analogous to that given by Dorfmeister, Pedit and Wu for CMC…

Differential Geometry · Mathematics 2009-11-28 David Brander , Wayne Rossman , Nick Schmitt

It is shown that a spacetime with collisionless matter evolving from data on a compact Cauchy surface with hyperbolic symmetry can be globally covered by compact hypersurfaces on which the mean curvature is constant and by compact…

General Relativity and Quantum Cosmology · Physics 2015-06-25 Hakan Andreasson , Gerhard Rein , Alan D. Rendall

In the setting of hyperbolic spaces, we show that the convergence of Browder-type sequences and Halpern iterations respectively entail the convergence of their viscosity version with a Rakotch map. We also show that the convergence of a…

Functional Analysis · Mathematics 2021-02-09 Ulrich Kohlenbach , Pedro Pinto

We develop a ``canonical Wick rotation-rescaling theory in 3-dimensional gravity''. This includes: (a) A simultaneous classification that shows how generic maximal globally hyperbolic spacetimes of constant curvature, which admit a complete…

Differential Geometry · Mathematics 2007-05-23 Riccardo Benedetti , Francesco Bonsante

Many high-dimensional and large-volume data sets of practical relevance have hierarchical structures induced by trees, graphs or time series. Such data sets are hard to process in Euclidean spaces and one often seeks low-dimensional…

Machine Learning · Computer Science 2021-09-16 Eli Chien , Chao Pan , Puoya Tabaghi , Olgica Milenkovic
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