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Universal local parametrizations via heat kernels and eigenfunctions of the laplacian

  • Yale University
  • Duke University

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

We use heat kernels or eigenfunctions of the Laplacian to construct local coordinates on large classes of Euclidean domains and Riemannian manifolds (not necessarily smooth, e.g. with ℒα metric). These coordinates are bi-Lipschitz on embedded balls of the domain or manifold, with distortion constants that depend only on natural geometric properties of the domain or manifold. The proof of these results relies on estimates, from above and below, for the heat kernel and its gradient, as well as for the eigenfunctions of the Laplacian and their gradient. These estimates hold in the non-smooth category, and are stable with respect to perturbations within this category. Finally, these coordinate systems are intrinsic and efficiently computable, and are of value in applications.

Original languageEnglish
Pages (from-to)131-174
Number of pages44
JournalAnnales Academiae Scientiarum Fennicae Mathematica
Volume35
Issue number1
DOIs
StatePublished - 2010

Keywords

  • Bi-Lipschitz mappings
  • Distortion estimates
  • Eigenfunction bounds
  • Heat kernel bounds
  • Local charts
  • Non-linear dimension reduction

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