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Quantitative long range curvature estimate for mean curvature flow

Year: 2025
Type: article
Abstract: We prove that 𝛼-noncollapsed ancient mean curvature flow satisfies a quantitative curvature estimate H ⁢ ( y , t ) ≤ C ⁢ H ⁢ ( x , t ) ⁢ ( H ⁢ ( x , t ) ⁢ | x − y | + 1 ) 2 H(y,t)\leq CH(x,t)(H(x,t)\lvert x-y\rvert+1)^{2} for any pair of x , y x,y . In other words, the rescaled curvature grows at most quadratically in terms of the rescaled extrinsic distance.
Author: Jingze Zhu
Language: English
Open Access status: green
OpenAlex ID: W4414485952
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Cites: 7
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