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Local Well-Posedness of Skew Mean Curvature Flow for Small Data in [Formula: see text] Dimensions
The skew mean curvature flow is an evolution equation for d dimensional manifolds embedded in [Formula: see text] (or more generally, in a Riemannian manifold). It can be viewed as a Schrödinger analogue of the mean curvature flow, or alternatively as a quasilinear version of the Schrödinger Map equ...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844252/ https://www.ncbi.nlm.nih.gov/pubmed/35221347 http://dx.doi.org/10.1007/s00220-021-04303-8 |
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author | Huang, Jiaxi Tataru, Daniel |
author_facet | Huang, Jiaxi Tataru, Daniel |
author_sort | Huang, Jiaxi |
collection | PubMed |
description | The skew mean curvature flow is an evolution equation for d dimensional manifolds embedded in [Formula: see text] (or more generally, in a Riemannian manifold). It can be viewed as a Schrödinger analogue of the mean curvature flow, or alternatively as a quasilinear version of the Schrödinger Map equation. In this article, we prove small data local well-posedness in low-regularity Sobolev spaces for the skew mean curvature flow in dimension [Formula: see text] . |
format | Online Article Text |
id | pubmed-8844252 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-88442522022-02-23 Local Well-Posedness of Skew Mean Curvature Flow for Small Data in [Formula: see text] Dimensions Huang, Jiaxi Tataru, Daniel Commun Math Phys Article The skew mean curvature flow is an evolution equation for d dimensional manifolds embedded in [Formula: see text] (or more generally, in a Riemannian manifold). It can be viewed as a Schrödinger analogue of the mean curvature flow, or alternatively as a quasilinear version of the Schrödinger Map equation. In this article, we prove small data local well-posedness in low-regularity Sobolev spaces for the skew mean curvature flow in dimension [Formula: see text] . Springer Berlin Heidelberg 2022-01-15 2022 /pmc/articles/PMC8844252/ /pubmed/35221347 http://dx.doi.org/10.1007/s00220-021-04303-8 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Huang, Jiaxi Tataru, Daniel Local Well-Posedness of Skew Mean Curvature Flow for Small Data in [Formula: see text] Dimensions |
title | Local Well-Posedness of Skew Mean Curvature Flow for Small Data in [Formula: see text] Dimensions |
title_full | Local Well-Posedness of Skew Mean Curvature Flow for Small Data in [Formula: see text] Dimensions |
title_fullStr | Local Well-Posedness of Skew Mean Curvature Flow for Small Data in [Formula: see text] Dimensions |
title_full_unstemmed | Local Well-Posedness of Skew Mean Curvature Flow for Small Data in [Formula: see text] Dimensions |
title_short | Local Well-Posedness of Skew Mean Curvature Flow for Small Data in [Formula: see text] Dimensions |
title_sort | local well-posedness of skew mean curvature flow for small data in [formula: see text] dimensions |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8844252/ https://www.ncbi.nlm.nih.gov/pubmed/35221347 http://dx.doi.org/10.1007/s00220-021-04303-8 |
work_keys_str_mv | AT huangjiaxi localwellposednessofskewmeancurvatureflowforsmalldatainformulaseetextdimensions AT tatarudaniel localwellposednessofskewmeancurvatureflowforsmalldatainformulaseetextdimensions |