English

Rigidity and Curvature Estimates for Graphical Self-shrinkers

Differential Geometry 2018-03-07 v1

Abstract

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 that the hyperplane is rigid in an even stronger sense, namely: For 2n62 \leq n \leq 6, any smooth, complete self-shrinker ΣnRn+1\Sigma^n\subset\mathbf{R}^{n+1} that is graphical inside a large, but compact, set must be a hyperplane. In fact, this rigidity holds within a larger class of almost stable self-shrinkers. A key component of this paper is the procurement of linear curvature estimates for almost stable shrinkers, and it is this step that is responsible for the restriction on nn. Our methods also yield uniform curvature bounds for translating solitons of the mean curvature flow.

Keywords

Cite

@article{arxiv.1510.06061,
  title  = {Rigidity and Curvature Estimates for Graphical Self-shrinkers},
  author = {Qiang Guang and Jonathan J. Zhu},
  journal= {arXiv preprint arXiv:1510.06061},
  year   = {2018}
}

Comments

20 pages

R2 v1 2026-06-22T11:25:06.436Z