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arxiv: 2108.11852 · v1 · pith:OQQHFD52new · submitted 2021-08-26 · 🧮 math.DG

Quantitative long range curvature estimate for mean curvature flow

classification 🧮 math.DG
keywords curvatureestimateflowmeanquantitativerescaledalphaancient
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We prove that smooth convex $\alpha$-noncollapsed ancient mean curvature flow satisfies a quantitative curvature estimate $H(y,t)\leq CH(x,t)(H(x,t)|x-y|+1)^2$ for any pair of $x,y$. In other words, the rescaled curvature grows at most quadratically in terms of the rescaled extrinsic distance.

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