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An Intersection Principle for Mean Curvature Flow

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arxiv 2505.11600 v1 pith:IA2IV5ZN submitted 2025-05-16 math.DG math.AP

classification math.DGmath.AP
keywords flowscurvaturedimensionmeanintersectionprincipletimeavoidance
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The avoidance principle says that mean curvature flows of hypersurfaces remain disjoint if they are disjoint at the initial time. We prove several generalizations of the avoidance principle that allow for intersections of hypersurfaces. First, we prove that the Hausdorff dimension of the intersection of two mean curvature flows is non-increasing over time, and we find precise information on how the dimension changes. We then show that the self-intersection of an immersed mean curvature flow has non-increasing dimension over time. Next, we extend the intersection dimension monotonicity to Brakke flows and level set flows which satisfy a localizability condition, and we provide examples showing that the monotonicity fails for general weak solutions. We find a localization result for level set flows with finitely many singularities, and as a consequence, we obtain a fattening criterion for these flows which depends on the behavior of intersections with smooth flows.

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  1. An Ancient Stacked Pancake Solution to Mean Curvature Flow

    math.DG 2025-09 conditional novelty 8.0 of 10

    For every dimension n≥3, there exists an embedded, rotationally symmetric, non-convex ancient mean curvature flow that looks like two parallel pancakes joined by a neck and lies in a slab.

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