The embedding dimension of Laplacian eigenfunction maps
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Abstract (arXiv)
Any closed, connected Riemannian manifold M can be smoothly embedded by its Laplacian eigenfunction maps into ℝm for some m. We call the smallest such m the maximal embedding dimension of M. We show that the maximal embedding dimension of M is bounded from above by a constant depending only on the dimension of M, a lower bound for injectivity radius, a lower bound for Ricci curvature, and a volume bound. We interpret this result for the case of surfaces isometrically immersed in ℝ3, showing that the maximal embedding dimension only depends on bounds for the Gaussian curvature, mean curvature, and surface area. Furthermore, we consider the relevance of these results for shape registration.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 4 May 2016.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 0; 2024: 3; 2025: 1; 2026: 1.
8 papers.
- 2021Continuous normalizing flows on manifoldscited by 10
- 2022Augmentation Invariant Manifold Learningcited by 2
- 2025Manifold learning in metric spacescited by 2
- 2021Convergence of Laplacian Eigenmaps and its Rate for Submanifolds with Singularitiescited by 0
- 2024Sketching the Heat Kernel: Using Gaussian Processes to Embed Datacited by 0
- 2024Boundary Detection Algorithm Inspired by Locally Linear Embeddingcited by 0
- 2024How well behaved is finite dimensional Diffusion Maps?cited by 0
- 2026Diffusion Maps is not Dimensionality Reductioncited by 0
- 2026Diffusion Maps is not Dimensionality Reduction30 Mar 2026
- 2025Manifold learning in metric spaces20 Mar 2025
- 2024How well behaved is finite dimensional Diffusion Maps?5 Dec 2024
- 2024Boundary Detection Algorithm Inspired by Locally Linear Embedding26 Jun 2024
- 2024Sketching the Heat Kernel: Using Gaussian Processes to Embed Data1 Mar 2024
- 2022Augmentation Invariant Manifold Learning1 Nov 2022
- 2021Convergence of Laplacian Eigenmaps and its Rate for Submanifolds with Singularities15 Oct 2021
- 2021Continuous normalizing flows on manifolds14 Mar 2021