Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

On the classification of ancient solutions to curvature flows on the sphere

Bryan, Paul, Ivaki, Mohammad and Scheuer, Julian ORCID: https://orcid.org/0000-0003-2664-1896 2022. On the classification of ancient solutions to curvature flows on the sphere. Annali della Scuola Normale Superiore di Pisa, Classe di Scienze 10.2422/2036-2145.202105_006

[thumbnail of On_the_classification_of_ancient_solutions_to_curvature_flows_in_the_sphere_Cardiff.pdf]
Preview
PDF - Accepted Post-Print Version
Download (395kB) | Preview

Abstract

We consider the evolution of hypersurfaces on the unit sphere by smooth functions of the Weingarten map. We introduce the notion of `quasi-ancient' solutions for flows that do not admit non-trivial, convex, ancient solutions. Such solutions are somewhat analogous to ancient solutions for flows such as the mean curvature flow, or 1-homogeneous flows. The techniques presented here allow us to prove that any convex, quasi-ancient solution of a curvature flow which satisfies a backwards in time uniform bound on mean curvature must be stationary or a family of shrinking geodesic spheres. The main tools are geometric, employing the maximum principle, a rigidity result in the sphere and an Aleksandrov reflection argument. We emphasize that no homogeneity or convexity/concavity restrictions are placed on the speed, though we do also offer a short classification proof for several such restricted cases.

Item Type: Article
Status: In Press
Schools: Mathematics
Publisher: Scuola Normale Superiore
ISSN: 0391-173X
Funders: EPSRC, EP/K00865X/1, Austrian Science Fund (FWF), M1716-N25, European Research Council (ERC), 306445
Date of First Compliant Deposit: 29 June 2022
Date of Acceptance: 29 June 2022
Last Modified: 06 Nov 2023 20:10
URI: https://orca.cardiff.ac.uk/id/eprint/150866

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics