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Related papers: Some results on space-like self-shrinkers

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We will obtain the warped product decompositions of spaces of constant curvature (with arbitrary signature) in their natural models as subsets of pseudo-Euclidean space. This generalizes the corresponding result by S. Nolker to arbitrary…

Differential Geometry · Mathematics 2014-04-10 Krishan Rajaratnam

In the pseudo-Euclidean space $\mathbb{R}^{n+1,k}$, we consider the mean curvature flow of $n$-dimensional spacelike submanifolds with spacelike codimension one and arbitrary timelike codimension $k$. We show that if the initial submanifold…

Differential Geometry · Mathematics 2026-04-28 Ben Andrews , Qiyu Zhou

In this paper, we prove that a two-dimensional self-shrinker, homeomorphic to the sphere, immersed in the three dimensional Euclidean space is a round sphere, provided its mean curvature and the norm of its position vector have an upper…

Differential Geometry · Mathematics 2021-09-14 Hilário Alencar , Gregório Silva Neto , Detang Zhou

Let $M^{n}$ be an $n$-dimensional complete spacelike linear Weingarten submanifold immersed in a locally symmetric semi-Riemannian space $\mathbb{L}_{q}^{n+p}$ of index $q$, with parallel normalized mean curvature vector field and flat…

Differential Geometry · Mathematics 2026-02-17 Jogli G. S. Araújo , Weiller F. C. Barboza

In this paper, we investigate the rigidity problems of complete hypersurfaces with constant mean curvature and constant scalar curvature in Euclidean spaces. Firstly, under some conditions of Gaussian-Kronecker curvature, we provide…

Differential Geometry · Mathematics 2025-12-30 Jianquan Ge , Ya Tao

In this paper, we first use the method of Colding and Minicozzi [5] to show that K. Smoczyk's classification theorem [16] for complete self-shrinkers in higher codimension also holds under a weaker condition. Then as an application, we give…

Differential Geometry · Mathematics 2012-10-01 Haizhong Li , Yong Wei

In this paper, we generalize Colding and Minicozzi's work \cite{CM} on the stability of self-shrinkers in the hypersurface case to higher co-dimensional cases. The first and second variation formulae of the $F$-functional are derived and an…

Differential Geometry · Mathematics 2012-04-30 Yng-Ing Lee , Yang-Kai Lue

$\lambda$-self-expanders $\Sigma$ in $\mathbb{R}^{n+1}$ are the solutions of the isoperimetric problem with respect to the same weighted area form as in the study of the self-expanders. In this paper, we mainly extend the results on…

Differential Geometry · Mathematics 2022-08-23 Saul Ancari , Xu Cheng

In this paper, we investigate the geometry of compact spacelike biconservative hypersurfaces with constant scalar curvature in de Sitter space $\mathbb{S}_1^{m+1}(c)$, under some geometric constraints. Our results extend the understanding…

Differential Geometry · Mathematics 2025-06-06 Aykut Kayhan

We prove that any gradient shrinking Ricci soliton has at most Euclidean volume growth. This improves a recent result of H.-D. Cao and D. Zhou by removing a condition on the growth of scalar curvature.

Differential Geometry · Mathematics 2009-04-22 Ovidiu Munteanu

For hypersurfaces of dimension greater than one, Huisken showed that compact self-shrinkers of the mean curvature flow with positive scalar mean curvature are spheres. We will prove the following extension: A compact self-similar solution…

Differential Geometry · Mathematics 2007-05-23 Knut Smoczyk

We study the mean curvature flow of complete space-like submanifolds in pseudo-Euclidean space with bounded Gauss image, as well as that of complete submanifolds in Euclidean space with convex Gauss image. By using the confinable property…

Differential Geometry · Mathematics 2007-05-23 Y. L. Xin

Self-shrinkers are hypersurfaces that shrink homothetically under mean curvature flow; these solitons model the singularities of the flow. It it presently known that an entire self-shrinking graph must be a hyperplane. In this paper we show…

Differential Geometry · Mathematics 2018-03-07 Qiang Guang , Jonathan J. Zhu

This chapter reviews some past and recent developments in shape comparison and analysis of curves based on the computation of intrinsic Riemannian metrics on the space of curves modulo shape-preserving transformations. We summarize the…

Differential Geometry · Mathematics 2020-10-22 Martin Bauer , Nicolas Charon , Eric Klassen , Alice Le Brigant

In this paper, we survey known results on closed self-shrinkers for mean curvature flow and discuss techniques used in recent constructions of closed self-shrinkers with classical rotational symmetry. We also propose new existence and…

Differential Geometry · Mathematics 2017-08-31 Gregory Drugan , Hojoo Lee , Xuan Hien Nguyen

We derive curvature estimates for minimal submanifolds in Euclidean space for arbitrary dimension and codimension via Gauss map. Thus, Schoen-Simon-Yau's results and Ecker-Huisken's results are generalized to higher codimension. In this way…

Differential Geometry · Mathematics 2007-09-25 Y. L. Xin , Ling Yang

We show that (a) any entire graphic self-shrinking solution to the Lagrangian mean curvature flow in ${\mathbb C}^{m}$ with the Euclidean metric is flat; (b) any space-like entire graphic self-shrinking solution to the Lagrangian mean…

Differential Geometry · Mathematics 2010-03-18 Albert Chau , Jingyi Chen , Yu Yuan

In this paper we give pinching theorems for the first nonzero eigenvalue of the Laplacian on the compact hypersurfaces of ambient spaces with bounded sectional curvature. As application we deduce rigidity results for stable constant mean…

Differential Geometry · Mathematics 2017-02-22 Jean-Francois Grosjean , Julien Roth

In this article we show the existence of closed embedded self-shrinkers in $\Bbb{R}^{n+1}$ that are topologically of type $S^1\times M$, where $M\subset S^n$ is any isoparametric hypersurface in $S^n$ for which the multiplicities of the…

Differential Geometry · Mathematics 2023-04-04 Oskar Riedler

Laplacian-based methods are popular for the dimensionality reduction of data lying in $\mathbb{R}^N$. Several theoretical results for these algorithms depend on the fact that the Euclidean distance locally approximates the geodesic distance…

Machine Learning · Computer Science 2025-09-24 Liane Xu , Amit Singer