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Advances in Mathematics
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Advances in Mathematics
Article . 2016 . Peer-reviewed
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Article . 2016
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Flow by powers of the Gauss curvature

Authors: Ben Andrews; Pengfei Guan; Lei Ni;

Flow by powers of the Gauss curvature

Abstract

The authors prove that convex hypersurfaces in \(\mathbb{R}^{n+1}\) contracting under the flow by any power \(\alpha>\frac{1}{n+2}\) of the Gauss curvature converge after rescaling to fixed volume to a limit which is a smooth uniformly self-similar contracting solution of the flow. Under additional central symmetry assumption on the initial body, they show that the limit is the round sphere for any \(\alpha\geq 1\).

Countries
United States, Australia
Keywords

entropy stability estimates, Monotonicity, Entropy Stability Estimates, regularity estimates, Entropy, General Mathematics, Smoothness and regularity of solutions to PDEs, Curvature Image, Gauss curvature, monotonicity, Pure Mathematics, Surfaces in Euclidean and related spaces, Nonlinear parabolic equations, curvature image, Regularity Estimates, entropy, Gauss Curvature

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    53
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
53
Top 10%
Top 10%
Top 10%
Green
hybrid