d≧2维小数据斜均值曲率流的局部拟合优度

IF 2.6 1区 数学 Q1 MATHEMATICS, APPLIED
Jiaxi Huang, Daniel Tataru
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引用次数: 0

摘要

倾斜平均曲率流是嵌入 Rd+2 (或更一般地嵌入黎曼流形)的 d 维流形的演化方程。它可以看作是平均曲率流的薛定谔类似方程,也可以看作是薛定谔图方程的准线性版本。在早先的一篇论文中,作者介绍了该问题的谐波/库仑计公式,并用它证明了维数 d≧4 的小数据局部好求性。在本文中,我们证明了在维数 d≧2 的低规则性 Sobolev 空间中偏斜均值曲率流的小数据局部好求性。这是通过对方程引入一种新的热规公式来实现的,该公式在低维度下更为稳健。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

<ArticleTitle xmlns:ns0="http://www.w3.org/1998/Math/MathML">Local Well-Posedness of the Skew Mean Curvature Flow for Small Data in <ns0:math><ns0:mrow><ns0:mi>d</ns0:mi><ns0:mo>≧</ns0:mo><ns0:mn>2</ns0:mn></ns0:mrow></ns0:math> Dimensions.

Local Well-Posedness of the Skew Mean Curvature Flow for Small Data in d2 Dimensions.

The skew mean curvature flow is an evolution equation for d dimensional manifolds embedded in Rd+2 (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 an earlier paper, the authors introduced a harmonic/Coulomb gauge formulation of the problem, and used it to prove small data local well-posedness in dimensions d4. In this article, we prove small data local well-posedness in low-regularity Sobolev spaces for the skew mean curvature flow in dimension d2. This is achieved by introducing a new, heat gauge formulation of the equations, which turns out to be more robust in low dimensions.

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来源期刊
CiteScore
5.10
自引率
8.00%
发文量
98
审稿时长
4-8 weeks
期刊介绍: The Archive for Rational Mechanics and Analysis nourishes the discipline of mechanics as a deductive, mathematical science in the classical tradition and promotes analysis, particularly in the context of application. Its purpose is to give rapid and full publication to research of exceptional moment, depth and permanence.
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