The Intrinsic Structure of High-Dimensional Data According to the Uniqueness of Constant Mean Curvature Hypersurfaces

نویسندگان

چکیده

In this paper, we study the intrinsic structures of high-dimensional data sets for analyzing their geometrical properties, where core message is hiding on some nonlinear manifolds. Using manifold learning technique with a particular focus mean curvature, develop new methods to investigate uniqueness constant curvature spacelike hypersurfaces in Lorentzian warped product Furthermore, extend stochastically complete using weak maximum principle. For more general cases, propose non-existence results and priori estimates higher-order hypersurface.

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ژورنال

عنوان ژورنال: Mathematics

سال: 2022

ISSN: ['2227-7390']

DOI: https://doi.org/10.3390/math10203894