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Surgery, as developed by Browder, Kervaire, Milnor, Novikov, Sullivan, Wall and others is a method for comparing homotopy types of topological spaces with diffeomorphism or homeomorphism types of manifolds of dimension >= 5. In this paper,…

Geometric Topology · Mathematics 2016-09-07 Mattias Kreck

This is the third in a series of papers constructing hyperbolic structures on all Haken three-manifolds. This portion deals with the mixed case of the deformation space for manifolds with incompressible boundary that are not acylindrical,…

Geometric Topology · Mathematics 2007-05-23 William P. Thurston

This paper relates skein spaces based on the Kauffman bracket and spin structures. A spin structure on an oriented 3-manifold provides an isomorphism between the skein space for parameter A and the skein space for parameter -A. There is an…

General Relativity and Quantum Cosmology · Physics 2009-10-28 John W. Barrett

In this paper we find strictly locally convex hypersurfaces in $\mathbb{R}^{n+1}$ with prescribed curvature and boundary. The main result is that if the given data admits a strictly locally convex radial graph as a subsolution, we can find…

Differential Geometry · Mathematics 2015-04-14 Chenyang Su

In this work, we investigate the behaviour of the covering gonality of a very general hypersurface in a product of projective spaces. Inspired by the work of Bastianelli, Ciliberto, Flamini and Suppino in [BCFS19] which addresses the case…

Algebraic Geometry · Mathematics 2026-03-02 Raphaël Hiault

We derive integral and sup-estimates for the curvature of stably marginally outer trapped surfaces in a sliced space-time. The estimates bound the shear of a marginally outer trapped surface in terms of the intrinsic and extrinsic curvature…

General Relativity and Quantum Cosmology · Physics 2007-05-23 Lars Andersson , Jan Metzger

In this paper, we study the computation of curvatures at the singular points of algebraic curves and surfaces. The idea is to convert the problem to compute the curvatures of the corresponding regular parametric curves and surfaces, which…

Differential Geometry · Mathematics 2014-05-20 Chong-Jun Li , Ren-Hong Wang

A non-Hermitian system can exhibit extensive sensitivity of its complex energy spectrum to the imposed boundary conditions, which is beyond any known phenomenon from Hermitian systems. In addition to topologically protected boundary modes,…

Other Condensed Matter · Physics 2019-05-15 Ching Hua Lee , Ronny Thomale

We study the notion of symplectic scalar curvature on the supermanifold over an ordinary Fedosov manifold whose structural sheaf is that of differential forms. In this purely geometric context, we introduce two families of odd super-Fedosov…

Mathematical Physics · Physics 2024-09-04 R Hernández-Amador , JA Vallejo , Yu Vorobiev

We provide a new topological obstruction for complete stable minimal hypersurfaces in R^n. For $n\geq 4$, we prove that any complete orientable stable hypersurfaces in R^n has only one end. This follows from a more general analytic theorem…

dg-ga · Mathematics 2008-02-03 Huai-Dong Cao , Ying Shen , Shunhui Zhu

We study rational cuspidal curves in Hirzebruch surfaces. We provide two obstructions for the existence of rational cuspidal curves in Hirzebruch surfaces with prescribed types of singular points. The first result comes from Heegaard--Floer…

Algebraic Geometry · Mathematics 2014-11-04 Maciej Borodzik , Torgunn Karoline Moe

We study the global behavior of (weakly) stable constant mean curvature hypersurfaces in general Riemannian manifolds. By using harmonic function theory, we prove some one-end theorems which are new even for constant mean curvature…

Differential Geometry · Mathematics 2007-05-23 Xu Cheng , Leung-fu Cheung , Detang Zhou

Multi-manifold modeling is increasingly used in segmentation and data representation tasks in computer vision and related fields. While the general problem, modeling data by mixtures of manifolds, is very challenging, several approaches…

Computer Vision and Pattern Recognition · Computer Science 2012-10-08 G. Chen , S. Atev , G. Lerman

We construct algorithms and topological invariants that allow us to distinguish the topological type of a surface, as well as functions and vector fields for their topological equivalence. In the first part (arXiv:2501.15657), we discused…

Geometric Topology · Mathematics 2025-02-17 Alexandr Prishlyak

We study hypersurfaces with fractional mean curvature in N-dimensional Euclidean space. These hypersurfaces are critical points of the fractional perimeter under a volume constraint. We use local inversion arguments to prove existence of…

Analysis of PDEs · Mathematics 2018-04-06 Ignace Aristide Minlend , Alassane Niang , El Hadji Abdoulaye Thiam

Using minimal hypersurfaces, we obtain topological obstructions to admitting complete metrics with positive scalar curvature on a given class of non-compact n-manifolds with n less than 8. We show that the Liouville theorem for a locally…

Differential Geometry · Mathematics 2020-09-29 Martin Lesourd , Ryan Unger , Shing-Tung Yau

Skinning is a popular way to rig and deform characters for animation, to compute reduced-order simulations, and to define features for geometry processing. Methods built on skinning rely on weight functions that distribute the influence of…

Graphics · Computer Science 2025-02-07 Ana Dodik , Vincent Sitzmann , Justin Solomon , Oded Stein

Electrical resistance tomography (ERT) -based distributed surface sensing systems, or sensing skins, offer alternative sensing techniques for structural health monitoring, providing capabilities for distributed sensing of, for example,…

Computational Physics · Physics 2021-05-11 Jyrki Jauhiainen , Mohammad Pour-Ghaz , Tuomo Valkonen , Aku Seppänen

This paper introduces even triangulations of n-dimensional pseudo-manifolds and links their combinatorics to the topology of the pseudo-manifolds. This is done via normal hypersurface theory and the study of certain symmetric…

Geometric Topology · Mathematics 2015-11-25 J. Hyam Rubinstein , Stephan Tillmann

Consider a set of $n$ data points in the Euclidean space $\mathbb{R}^d$. This set is called dataset in machine learning and data science. Manifold hypothesis states that the dataset lies on a low-dimensional submanifold with high…

Machine Learning · Computer Science 2022-02-04 Benyamin Ghojogh , Fakhri Karray , Mark Crowley
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