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Convergence of Laplacian Eigenmaps and its Rate for Submanifolds with Singularities

arXiv 2110.08138 ↗First posted 15 Oct 2021math.DG stat.MLcited by 0

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Abstract (arXiv)

In this paper, we give a spectral approximation result for the Laplacian on submanifolds of Euclidean spaces with singularities by the ε-neighborhood graph constructed from random points on the submanifold. Our convergence rate for the eigenvalue of the Laplacian is Oleft(left(log n/nright)1/(m+2)right), where m and n denote the dimension of the manifold and the sample size, respectively.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 22 references that are in the map. First posted on arXiv 15 Oct 2021.

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4 of 22 references.

References · 4

  1. 2018Error estimates for spectral convergence of the graph Laplacian on random geometric graphs towards the Laplace--Beltrami operatorcited by 70
  2. 2019Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphscited by 18
  3. 2016The embedding dimension of Laplacian eigenfunction mapscited by 8
  4. 2016Four lectures on probabilistic methods for data sciencecited by 5

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