闵可夫斯基空间中最小平移曲面的分类

Dan Yang, Wei Dan, Yu Fu
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引用次数: 0

摘要

自19世纪以来,最小曲面被称为一类平均曲率消失的曲面,它使给定边界构型内的面积最小。1760年,拉格朗日对非参数曲面含蓄地证明了这一事实,1776年,Meusnier用解析表达式表示了平均曲率。数学上,最小曲面对应于非线性偏微分方程的解。本文通过求解一些微分方程,给出了n维闵可夫斯基空间中最小平移曲面的完整而明确的分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A classification of minimal translation surfaces in Minkowski space
Minimal surfaces are well known as a class of surfaces with vanishing mean curvature which minimize area within a given boundary configuration since 19th century. This fact was implicitly proved by Lagrange for nonparametric surfaces in 1760, and then by Meusnier in 1776 who used the analytic expression for the mean curvature. Mathematically, a minimal surface corresponds to the solution of a nonlinear partial differential equation. By solving some differential equations, in this paper we give a complete and explicit classification of minimal translation surfaces in an n-dimensional Minkowski space.
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