English

Numerically computing the index of mean curvature flow self-shrinkers

Differential Geometry 2020-07-14 v1 Numerical Analysis Numerical Analysis

Abstract

Surfaces that evolve by mean curvature flow develop singularities. These singularities can be modeled by self-shrinkers, surfaces that shrink by dilations under the flow. Singularities modeled on classical self-shrinkers, namely spheres and cylinders, are stable under perturbations of the flow. In contrast, singularities modeled on other self-shrinkers, such as the Angenent torus, are unstable: perturbing the flow will generally change the kind of singularity. One can measure the degree of instability by computing the Morse index of the self-shrinker, viewed as a critical point of an appropriate functional. In this paper, we present a numerical method for computing the index of rotationally symmetric self-shrinkers. We apply this method to the Angenent torus, the first known nontrivial example of a self-shrinker. We find that, excluding dilations and translations, the index of the Angenent torus is 55, which is consistent with the lower bound of 33 from the work of Liu and the upper bound of 2929 from our earlier work. Also, we unexpectedly discover two additional variations of the Angenent torus with eigenvalue 1-1.

Keywords

Cite

@article{arxiv.2007.06094,
  title  = {Numerically computing the index of mean curvature flow self-shrinkers},
  author = {Yakov Berchenko-Kogan},
  journal= {arXiv preprint arXiv:2007.06094},
  year   = {2020}
}

Comments

27 pages, 10 figures, 1 table, 1 appendix