Paper · Apr 14, 2020
High Codimension Mean Curvature Flow with Surgery
As on arXiv
Abstract
We construct a mean curvature flow with surgery for submanifolds of arbitrary codimension. The theory applies to closed submanifolds satisfying a natural quadratic pinching condition, which serves as the high-codimension analogue of 2-convexity and is preserved under the flow in dimensions . Our results therefore are in line with the current state-of-the-art in codimension one (where at present 2-convexity is required for surgery). Central to our analysis is a collection of new a priori estimates for the second fundamental form, uniform across surgeries, which yield a precise description of high-curvature regions and permit controlled surgeries. This provides the first notion of mean curvature flow through singularities with topological control in higher codimensions. As a consequence we obtain a sharp classification: Every closed quadratically 2-convexity submanifold is diffeomorphic either to or to a finite connected sum of -bundles over .
- Submitted
- Apr 14, 2020
- Last revised
- Dec 10, 2025 (v3)
- Subjects
- math.DG
Comments: This replaces an earlier version by the second author and also subsumes the paper arXiv:1805.11808 [math.DG]. It contains a number of new estimates and results
Its neighbourhood
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Read around it
Background reading
The guides for the topics of this paper: what each idea is, why it matters, and the papers to read first.
In the guidebook
- 12B.10Surgery on a δ-Neck
The gluing construction in detail: the profile function, preservation of the Hamilton–Ivey pinching, closeness to the standard solution, and the definition of Ricci flow with surgery as a space-time (Morgan–Tian chapters 13–15).
- 12B.5The Canonical Neighbourhood Theorem
Every high-curvature point looks like a neck or a cap.
- 12B.7The Singular Time: Horns and Strong Necks
The limit metric at a singular time, the set Ω where curvature stays bounded, ε-horns and their ends, and strong δ-necks deep in a horn, following Perelman II §3 and Morgan–Tian chapter 11.