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E. Calabi and J. Cao showed that a closed geodesic of least length in a two-sphere with nonnegative curvature is always simple. Using min-max theory, we prove that for some higher dimensions, this result holds without assumptions on the…

Differential Geometry · Mathematics 2016-12-08 Antoine Song

An isometric embedding of a graph into a metric space is an embedding of the vertices such that the smallest number of edges connecting any two vertices equals to the distance in the metric space between the images. In this paper, we study…

Metric Geometry · Mathematics 2018-04-20 Shiquan Ren

For three dimensional complete Riemannian manifolds with scalar curvature no less than one, we obtain the sharp upper bound of complete stable minimal surfaces' diameter.

Differential Geometry · Mathematics 2025-05-27 Qixuan Hu , Guoyi Xu , Shuai Zhang

Given a smooth, complete Riemannian manifold $M$ with bounded Ricci curvature and positive injectivity radius, we derive a sharp Sobolev inequality for the embedding of $W^{1,p}(M)$ into $L^{\frac{np}{n-p}}(M)$, when $1\le p< n$. We will…

Analysis of PDEs · Mathematics 2026-02-09 Carlo Morpurgo , Stefano Nardulli , Liuyu Qin

We study the a.s. convergence of a sequence of random embeddings of a fixed manifold into Euclidean spaces of increasing dimensions. We show that the limit is deterministic. As a consequence, we show that many intrinsic functionals of the…

Probability · Mathematics 2017-01-20 Sunder Ram Krishnan , Jonathan E. Taylor , Robert J. Adler

Let $M$ be a compact Riemannian manifold of nonnegative Ricci curvature and $\Sigma$ a compact embedded 2-sided minimal hypersurface in $M$. It is proved that there is a dichotomy: If $\Sigma$ does not separate $M$ then $\Sigma$ is totally…

Differential Geometry · Mathematics 2016-05-24 Jaigyoung Choe , Ailana Fraser

Let (M,g) be a compact Riemannian manifold of dimension 3, and let \mathscr{F} denote the collection of all embedded surfaces homeomorphic to \mathbb{RP}^2. We study the infimum of the areas of all surfaces in \mathscr{F}. This quantity is…

Differential Geometry · Mathematics 2010-01-04 H. Bray , S. Brendle , M. Eichmair , A. Neves

We develop a degree theory for compact immersed hypersurfaces of prescribed $K$-curvature immersed in a compact, orientable Riemannian manifold, where $K$ is any elliptic curvature function. We apply this theory to count the (algebraic)…

Differential Geometry · Mathematics 2016-10-11 Harold Rosenberg , Graham Smith

In this paper, we prove that every confomal minimal immersion of an open Riemann surface into $\mathbb{R}^n$ for $n\ge 5$ can be approximated uniformly on compacts by conformal minimal embeddings. Furthermore, we show that every open…

Differential Geometry · Mathematics 2016-04-26 Antonio Alarcon , Franc Forstneric , Francisco J. Lopez

In this paper, we mainly study immersed self-expander hypersurfaces in Euclidean space whose mean curvatures have some linear growth controls. We discuss the volume growths and the finiteness of the weighted volumes. We prove some theorems…

Differential Geometry · Mathematics 2020-12-24 Saul Ancari , Xu Cheng

We introduce $(k,l)$-regular maps, which generalize two previously studied classes of maps: affinely $k$-regular maps and totally skew embeddings. We exhibit some explicit examples and obtain bounds on the least dimension of a Euclidean…

Differential Geometry · Mathematics 2007-05-23 Gordana Stojanovic

We consider surfaces embedded in a 3D contact sub-Riemannian manifold and the problem of the finiteness of the induced distance (i.e., the infimum of the length of horizontal curves that belong to the surface). Recently it has been proved…

Differential Geometry · Mathematics 2024-07-15 Eugenio Bellini , Ugo Boscain

Why does the low dimensionality of representations, typically $d\approx 1000$, not prevent modern embedding-based retrieval models from scaling to billions, or even trillions, of data points? To answer this question, we study maximal-margin…

Machine Learning · Computer Science 2026-05-25 Kiril Bangachev , Guy Bresler , Jonathan Kogan , Yury Polyanskiy

In 1970, Lawson solved the topological realization problem for minimal surfaces in the sphere, showing that any closed orientable surface can be minimally embedded in $\mathbb{S}^3$. The analogous problem for surfaces with boundary was…

Differential Geometry · Mathematics 2024-02-21 Mikhail Karpukhin , Robert Kusner , Peter McGrath , Daniel Stern

Given a closed connected manifold smoothly immersed in a complete noncompact Riemannian manifold with nonnegative sectional curvature, we estimate the intrinsic diameter of the submanifold in terms of its mean curvature field integral. On…

Differential Geometry · Mathematics 2026-03-20 Jia-Yong Wu

In this paper we prove two theorems. The first one is a structure result that describes the extrinsic geometry of an embedded surface with constant mean curvature (possibly zero) in a homogeneously regular Riemannian three-manifold, in any…

Differential Geometry · Mathematics 2014-01-10 William H. Meeks , Joaquín Pérez , Antonio Ros

We show that a complete $m$-dimensional immersed submanifold $M$ of $\mathbb{R}^{n}$ with $a(M)<1$ is properly immersed and have finite topology, where $a(M)\in [0,\infty]$ is an scaling invariant number that gives the rate that the norm of…

Differential Geometry · Mathematics 2008-05-06 G. Pacelli Bessa , L. Jorge , J. Fabio Montenegro

We show that a complete $3$-dimensional Riemannian manifold $M$ with finitely generated first homology has macroscopic dimension $1$ if it satisfies the following "macroscopic curvature" assumptions: every ball of radius $10$ in $M$ has…

Differential Geometry · Mathematics 2023-10-18 Hannah Alpert , Alexey Balitskiy , Larry Guth

We study a recent general criterion for the injectivity of the conformal immersion of a Riemannian manifold into higher dimensional Euclidean space, and show how it gives rise to important conditions for Weierstrass-Ennerper lifts defined…

Differential Geometry · Mathematics 2016-07-21 Martin Chuaqui

This paper studies the minimal dimension required to embed subset memberships ($m$ elements and ${m\choose k}$ subsets of at most $k$ elements) into vector spaces, denoted as Minimal Embeddable Dimension (MED). The tight bounds of MED are…

Machine Learning · Computer Science 2026-01-30 Zihao Wang , Hang Yin , Lihui Liu , Hanghang Tong , Yangqiu Song , Ginny Wong , Simon See
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