A sharp lower bound for the entropy of closed hypersurfaces up to dimension six

By J. Bernstein, Lu Wang. 2014

62 citations recorded by the source corpus.

The entropy is a natural geometric quantity which measures the complexity of a hypersurface in $$\mathbb R^{n+1}$$Rn+1. It is non-increasing along the mean curvature flow and so plays a significant role in analyzing the dynamics of this flow. In (Colding et al., J Differ Geom 95(1):53–69, 2013), Colding–Ilmanen–Minicozzi-White showed that within the class of closed smooth self-shrinking solutions of the mean curvature flow in $$\mathbb R^{n+1}$$Rn+1, the entropy is uniquely minimized at the round sphere. They conjectured that, for $$2\le n\le 6$$2≤n≤6, the round sphere minimizes the entropy among all closed hypersurfaces. Using an appropriate weak mean curvature flow, we prove their conjecture. For these dimensions, our approach also gives a new proof of the main result of Colding et al. (J Differ Geom 95(1):53–69, 2013) and extends its conclusions to compact singular self-shrinking solutions.

Subfields: Applied Mathematics, Geometry and Topology, Mathematical Physics

View Paper: https://www.semanticscholar.org/paper/250eae818921fa9986e21e4c46108f2b755f641a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Applied Mathematics

  1. Robert Haslhofer
  2. Jonathan J. Zhu
  3. Xin Zhou
  4. Or Hershkovits
  5. Kyeongsu Choi
  6. Daniel Ketover
  7. B. White
  8. A. Neves

In Geometry and Topology

  1. Robert Haslhofer
  2. Jonathan J. Zhu
  3. Xin Zhou
  4. Daniel Ketover
  5. Kyeongsu Choi
  6. Or Hershkovits
  7. B. White
  8. A. Neves

In Mathematical Physics

  1. Jonathan J. Zhu
  2. Xin Zhou
  3. Robert Haslhofer
  4. Or Hershkovits
  5. Kyeongsu Choi
  6. B. White
  7. Antoine Song
  8. M. Li

Citations in the corpus