A surface area formula for compact hypersurfaces in \(\mathbb{R}^{n}\)

IF 1.5 3区 数学 Q1 MATHEMATICS Journal of Inequalities and Applications Pub Date : 2024-04-02 DOI:10.1186/s13660-024-03129-x
Yen-Chang Huang
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Abstract

The classical Cauchy surface area formula states that the surface area of the boundary $\partial K=\Sigma $ of any n-dimensional convex body in the n-dimensional Euclidean space $\mathbb{R}^{n}$ can be obtained by the average of the projected areas of Σ along all directions in $\mathbb{S}^{n-1}$ . In this note, we generalize the formula to the boundary of arbitrary n-dimensional submanifold in $\mathbb{R}^{n}$ by introducing a natural notion of projected areas along any direction in $\mathbb{S}^{n-1}$ . This surface area formula derived from the new notion coincides with not only the result of the Crofton formula but also with that of De Jong (Math. Semesterber. 60(1):81–83, 2013) by using a tubular neighborhood. We also define the projected r-volumes of Σ onto any r-dimensional subspaces and obtain a recursive formula for mean projected r-volumes of Σ.
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(\mathbb{R}^{n}\)中紧凑超曲面的表面积公式
经典的 Cauchy 表面积公式指出,n 维欧几里得空间 $\mathbb{R}^{n}$ 中任意 n 维凸体的边界 $\partial K=\Sigma $ 的表面积可以通过 Σ 沿 $\mathbb{S}^{n-1}$ 中所有方向的投影面积的平均值得到。在本注释中,我们通过引入沿 $\mathbb{S}^{n-1}$ 中任意方向的投影面积的自然概念,将该公式推广到 $\mathbb{R}^{n}$ 中任意 n 维子曲面的边界。这个由新概念导出的表面积公式不仅与 Crofton 公式的结果相吻合,而且与 De Jong (Math. Semesterber.Semesterber.60(1):81-83,2013)使用管状邻域的结果相吻合。我们还定义了Σ在任意r维子空间上的投影r卷,并得到了Σ的平均投影r卷的递推公式。
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来源期刊
自引率
6.20%
发文量
136
期刊介绍: The aim of this journal is to provide a multi-disciplinary forum of discussion in mathematics and its applications in which the essentiality of inequalities is highlighted. This Journal accepts high quality articles containing original research results and survey articles of exceptional merit. Subject matters should be strongly related to inequalities, such as, but not restricted to, the following: inequalities in analysis, inequalities in approximation theory, inequalities in combinatorics, inequalities in economics, inequalities in geometry, inequalities in mechanics, inequalities in optimization, inequalities in stochastic analysis and applications.
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