Quantitative long range curvature estimate for mean curvature flow
Jingze Zhu
Paper2021-08-26English
quantitative financearxiv
Description
We prove that smooth convex $α$-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.