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We develop a finite element method for the Laplace--Beltrami operator on a surface described by a set of patchwise parametrizations. The patches provide a partition of the surface and each patch is the image by a diffeomorphism of a…

Numerical Analysis · Mathematics 2017-08-02 Tobias Jonsson , Mats G. Larson , Karl Larsson

To what extent does the eigenvalue spectrum of the Laplace-Beltrami operator on a compact Riemannian manifold determine the geometry of the manifold? We give examples of isospectral manifolds with different local geometry including…

Differential Geometry · Mathematics 2007-05-23 Carolyn S. Gordon , Zoltan I. Szabo

Eigenvalue problems are fundamental to mathematics and science. We present a simple algorithm for determining eigenvalues and eigenfunctions of the Laplace--Beltrami operator on rather general curved surfaces. Our algorithm, which is based…

Numerical Analysis · Mathematics 2011-09-13 Colin B. Macdonald , Jeremy Brandman , Steven J. Ruuth

In this paper, we get estimates on the higher eigenvalues of the Dirac operator on locally reducible Riemannian manifolds, in terms of the eigenvalues of the Laplace-Beltrami operator and the scalar curvature. These estimates are sharp, in…

Differential Geometry · Mathematics 2018-10-09 Yongfa Chen

Scattering rigidity of a Riemannian manifold allows one to tell the metric of a manifold with boundary by looking at the directions of geodesics at the boundary. Lens rigidity allows one to tell the metric of a manifold with boundary from…

Differential Geometry · Mathematics 2015-08-12 Haomin Wen

We establish a Gaussian upper bound of the heat kernel for the Laplace-Beltrami operator on complete Riemannian manifolds with Bakry-\'Emery Ricci curvature bounded below. As applications, we first prove an L^1-Liouville property for…

Differential Geometry · Mathematics 2023-06-27 Xingyu Song , Ling Wu , Meng Zhu

We review the construction of the Dirac operator and its properties in Riemannian geometry and show how the asymptotic expansion of the trace of the heat kernel determines the spectral invariants of the Dirac operator and its index. We also…

Mathematical Physics · Physics 2007-05-23 Ivan G. Avramidi

Upper bounds for the eigenvalues of the Laplace-Beltrami operator on a hypersurface bounding a domain in some ambient Riemannian manifold are given in terms of the isoperimetric ratio of the domain. These results are applied to the…

Metric Geometry · Mathematics 2014-09-17 Bruno Colbois , Ahmad El Soufi , Alexandre Girouard

We prove that the L^2 Riemannian metric on the manifold of all smooth Riemannian metrics on a fixed closed, finite-dimensional manifold induces a metric space structure. As the L^2 metric is a weak Riemannian metric, this fact does not…

Differential Geometry · Mathematics 2010-11-09 Brian Clarke

We study second-order elliptic partial differential operators acting on sections of vector bundles over a compact manifold with boundary with a non-scalar positive definite leading symbol. Such operators, called non-Laplace type operators,…

Mathematical Physics · Physics 2011-02-17 Ivan G. Avramidi

Upper bounds are obtained for the heat content of an open set D in a geodesically complete Riemannian manifold M with Dirichlet boundary condition on bd(D), and non-negative initial condition. We show that these upper bounds are close to…

Spectral Theory · Mathematics 2011-06-03 M. van den Berg , P. Gilkey , K. Kirsten , A. Grigor'yan

We address the problem of setting the kernel bandwidth used by Manifold Learning algorithms to construct the graph Laplacian. Exploiting the connection between manifold geometry, represented by the Riemannian metric, and the…

Machine Learning · Statistics 2014-06-03 Dominique Perrault-Joncas , Marina Meila

Numerical solutions of partial differential equations (PDEs) on manifolds continues to generate a lot of interest among scientists in the natural and applied sciences. On the other hand, recent developments of 3D scanning and computer…

Numerical Analysis · Mathematics 2016-01-08 E. O. Asante-Asamani , Lei Wang , Zeyun Yu

A new algebraic approach for calculating the heat kernel for the Laplace operator on any Riemannian manifold with covariantly constant curvature is proposed. It is shown that the heat kernel operator can be obtained by an averaging over the…

High Energy Physics - Theory · Physics 2008-11-26 Ivan G. Avramidi

The Laplace-Beltrami operator has established itself in the field of non-rigid shape analysis due to its many useful properties such as being invariant under isometric transformation, having a countable eigensystem forming an orthornormal…

Computer Vision and Pattern Recognition · Computer Science 2025-08-25 Oguzhan Yigit , Richard C. Wilson

In this work we study the determinant of the Laplace-Beltrami operator on rectangular tori of unit area. We will see that the square torus gives the extremal determinant within this class of tori. The result is established by studying…

Number Theory · Mathematics 2020-02-21 Markus Faulhuber

We show that a complete Riemannian manifold with boundary is uniquely determined, up to an isometry, by its distance difference representation on the boundary. Unlike previously known results, we do not impose any restrictions on the…

Differential Geometry · Mathematics 2020-09-01 Sergei Ivanov

We introduce and study new invariants associated with Laplace type elliptic partial differential operators on manifolds. These invariants are constructed by using the off-diagonal heat kernel; they are not pure spectral invariants, that is,…

Mathematical Physics · Physics 2017-03-08 Ivan G. Avramidi , Benjamin J. Buckman

On a Riemannian or a semi-Riemannian manifold, the metric determines invariants like the Levi-Civita connection and the Riemann curvature. If the metric becomes degenerate (as in singular semi-Riemannian geometry), these constructions no…

Differential Geometry · Mathematics 2017-01-31 Ovidiu Cristinel Stoica

Manifold learning methods play a prominent role in nonlinear dimensionality reduction and other tasks involving high-dimensional data sets with low intrinsic dimensionality. Many of these methods are graph-based: they associate a vertex…

Machine Learning · Computer Science 2021-11-16 Joe Kileel , Amit Moscovich , Nathan Zelesko , Amit Singer