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