An immersed 𝑆² self-shrinker
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Publication:5246958
DOI10.1090/S0002-9947-2014-06051-0zbMath1364.53062arXiv1304.0032OpenAlexW2907635047MaRDI QIDQ5246958
Publication date: 22 April 2015
Published in: Transactions of the American Mathematical Society (Search for Journal in Brave)
Full work available at URL: https://arxiv.org/abs/1304.0032
Related Items (13)
Embedded self-similar shrinkers of genus 0 ⋮ Examples of compact \(\lambda\)-hypersurfaces in Euclidean spaces ⋮ Vanishing theorems, higher order mean curvatures and index estimates for self-shrinkers ⋮ Immersed self-shrinkers ⋮ Sobolev and isoperimetric inequalities for submanifolds in weighted ambient spaces ⋮ Smooth compactness of 𝑓-minimal hypersurfaces with bounded 𝑓-index ⋮ An immersed \(S^n \lambda\)-hypersurface ⋮ Examples of compact embedded convex \(\lambda \)-hypersurfaces ⋮ Shrinking doughnuts via variational methods ⋮ A survey of closed self-shrinkers with symmetry ⋮ Complete \(\lambda \)-hypersurfaces of weighted volume-preserving mean curvature flow ⋮ Bounds on the index of rotationally symmetric self-shrinking tori ⋮ Hopf-type theorem for self-shrinkers
Cites Work
- Unnamed Item
- Generic mean curvature flow. I: Generic singularities
- Construction of complete embedded self-similar surfaces under mean curvature flow. III
- Asymptotic behavior for singularities of the mean curvature flow
- Construction of complete embedded self-similar surfaces under mean curvature flow. II
- The normalized curve shortening flow and homothetic solutions
- Singular nonlinear Cauchy problems
- Regularity theory for mean curvature flow
- Mean curvature self-shrinkers of high genus: non-compact examples
- A Bernstein type theorem for self-similar shrinkers
- Self-shrinkers with a rotational symmetry
- Construction of complete embedded self-similar surfaces under mean curvature flow. Part I.
- A stable manifold theorem for the curve shortening equation
- Computation of Self-Similar Solutions for Mean Curvature Flow
- Ordinary Differential Equations
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