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Related papers: Spectral exterior calculus

200 papers

Recently, much of the existing work in manifold learning has been done under the assumption that the data is sampled from a manifold without boundaries and singularities or that the functions of interest are evaluated away from such points.…

Artificial Intelligence · Computer Science 2012-11-29 Mikhail Belkin , Qichao Que , Yusu Wang , Xueyuan Zhou

This survey revisits classical results in vector calculus and analysis by exploring a generalised perspective on the exterior derivative, interpreting it as a measure of "infinitesimal flux". This viewpoint leads to a higher-dimensional…

Differential Geometry · Mathematics 2026-03-25 Daniel Fadel , Henrique N. Sá Earp , Tomás S. R. Silva

Negative-index metamaterials possess a negative refractive index and thus present an interesting substance for designing uncommon optical effects such as invisibility cloaking. This paper deals with operators encountered in an…

Mathematical Physics · Physics 2024-12-16 Tomáš Faikl

We prove sharp bounds on eigenvalues of the Laplacian that complement the Faber--Krahn and Luttinger inequalities. In particular, we prove that the ball maximizes the first eigenvalue and minimizes the spectral zeta function and heat trace.…

Spectral Theory · Mathematics 2013-06-13 Richard Laugesen , Bartlomiej Siudeja

The classical spectral theorem completely describes self-adjoint operators on finite dimensional inner product vector spaces as linear combinations of orthogonal projections onto pairwise orthogonal subspaces. We prove a similar theorem for…

Rings and Algebras · Mathematics 2017-10-03 Camilo Sanabria Malagón

We construct a family of self-adjoint operators on the prime numbers whose entries depend on pairwise arithmetic divergences, replacing geometric distance with number-theoretic dissimilarity. The resulting spectra encode how coherence…

General Mathematics · Mathematics 2026-04-07 Douglas F. Watson

In this paper we propose an approach of obtaining of N-dimensional spherical harmonics based exclusively on the methods of solutions of differential equations and the use of the special functions properties. We deduce the Laplace-Beltrami…

Mathematical Physics · Physics 2019-01-23 A. Smirnov

Maxwell's equations can be solved numerically in space manifold and the time by discrete exterior calculus as a kind of lattice gauge theory.Since the stable conditions of this method is very severe restriction, we combine the implicit…

Numerical Analysis · Mathematics 2009-12-29 Zheng Xie , Yujie Ma

Using the resolvent operator, we develop an algorithm for computing smoothed approximations of spectral measures associated with self-adjoint operators. The algorithm can achieve arbitrarily high-orders of convergence in terms of a…

Numerical Analysis · Mathematics 2020-12-02 Matthew J. Colbrook , Andrew Horning , Alex Townsend

We discuss a method to construct hadronic scattering and decay amplitudes from Euclidean correlators, by combining the approach of a regulated inverse Laplace transform with the work of Maiani and Testa. Revisiting the original result, we…

High Energy Physics - Lattice · Physics 2021-06-30 Mattia Bruno , Maxwell T. Hansen

Nonlinearities in finite dimensions can be linearized by projecting them into infinite dimensions. Unfortunately, often the linear operator techniques that one would then use simply fail since the operators cannot be diagonalized. This…

Mathematical Physics · Physics 2016-08-09 Paul M. Riechers , James P. Crutchfield

Classical spectral theory provides powerful tools for analyzing linear operators, but does not extend naturally to nonlinear or compositional settings. In particular, there is no general way to transport spectral invariants in a functorial…

Category Theory · Mathematics 2026-05-05 Shih-Yu Chang

An elliptic partial differential equation Lu=f with a zero Dirichlet boundary condition is converted to an equivalent elliptic equation on the unit ball. A spectral Galerkin method is applied to the reformulated problem, using multivariate…

Numerical Analysis · Mathematics 2011-06-20 Kendall Atkinson , David Chien , Olaf Hansen

Spectral functions play a central role in the characterization of a wide range of physical systems, including strongly interacting quantum field theories and many-body systems. Their non-perturbative determination from Euclidean correlation…

High Energy Physics - Lattice · Physics 2026-04-16 Norikazu Yamada

We introduce and study exterior distance function (EDF) and correspondent exterior point method (EPM) for convex optimization. The EDF is a classical Lagrangian for an equivalent problem obtained from the initial one by monotone…

Optimization and Control · Mathematics 2017-06-28 Roman Polyak

We prove the existence of optimal metrics for a wide class of combinations of Laplace eigenvalues on closed orientable surfaces of any genus. The optimal metrics are explicitely related to Laplace minimal eigenmaps, defined as branched…

Differential Geometry · Mathematics 2024-10-18 Romain Petrides

We investigate spectral functionals associated with Dirac and Laplace-type differential operators on manifolds, defined via the Wodzicki residue, extending classical results for Dirac operators derived from the Levi-Civita connection to…

Mathematical Physics · Physics 2026-04-15 Arkadiusz Bochniak , Ludwik Dąbrowski , Andrzej Sitarz , Paweł Zalecki

A spectral method is considered for approximating the fractional Laplacian and solving the fractional Poisson problem in 2D and 3D unit balls. The method is based on the explicit formulation of the eigenfunctions and eigenvalues of the…

Numerical Analysis · Mathematics 2018-12-21 Kailai Xu , Eric Darve

We obtain asymptotic lower bounds for the spectral function of the Laplacian and for the remainder in local Weyl's law on manifolds. In the negatively curved case, thermodynamic formalism is applied to improve the estimates. Key ingredients…

Spectral Theory · Mathematics 2007-05-23 Dmitry Jakobson , Iosif Polterovich

The Eigendecomposition of quadratic forms (symmetric matrices) guaranteed by the spectral theorem is a foundational result in applied mathematics. Motivated by a shared structure found in inferential problems of recent interest---namely…

Machine Learning · Computer Science 2018-02-26 Mikhail Belkin , Luis Rademacher , James Voss