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We present several applications of mode matching methods in spectral and scattering problems. First, we consider the eigenvalue problem for the Dirichlet Laplacian in a finite cylindrical domain that is split into two subdomains by a…

数学物理 · 物理学 2019-11-05 A. Delitsyn , D. S. Grebenkov

In this paper, we present an optimal filter for the enhancement or estimation of signals on the 2-sphere corrupted by noise, when both the signal and noise are realizations of anisotropic processes on the 2-sphere. The estimation of such a…

天体物理仪器与方法 · 物理学 2015-06-17 Zubair Khalid , Rodney A. Kennedy , Parastoo Sadeghi , Salman Durrani

We examine the spectrum of a family of Sturm--Liouville operators with regularly spaced delta function potentials parametrized by increasing strength. The limiting behavior of the eigenvalues under this spectral flow was described in a…

谱理论 · 数学 2020-06-25 Thomas Beck , Isabel Bors , Grace Conte , Graham Cox , Jeremy L. Marzuola

We consider radial complex scaling/perfectly matched layer methods for scalar resonance problems in homogeneous exterior domains. We introduce a new abstract framework to analyze the convergence of domain truncations and discretizations.…

数值分析 · 数学 2020-07-21 Martin Halla

Optimal sampling of non band-limited functions is an issue of great importance that has attracted considerable attention. We propose to tackle this problem through the use of a frequency warping: First, by a nonlinear shrinking of…

经典分析与常微分方程 · 数学 2017-03-07 Stefan Lafon , Jacques Lévy Véhel , Jacques Peyrière

We consider the scattering problem on locally perturbed periodic penetrable dielectric layers, which is formulated in terms of the full vector-valued time-harmonic Maxwell's equations. The right-hand side is not assumed to be periodic. At…

偏微分方程分析 · 数学 2019-08-23 Alexander Konschin

We present a simple spectral approach to the well-studied constrained clustering problem. It captures constrained clustering as a generalized eigenvalue problem with graph Laplacians. The algorithm works in nearly-linear time and provides…

社会与信息网络 · 计算机科学 2016-01-20 Mihai Cucuringu , Ioannis Koutis , Sanjay Chawla , Gary Miller , Richard Peng

We consider the entanglement properties of free fermions in one dimension and review an approach which relates the problem to the solution of a certain differential equation. The single-particle eigenfunctions of the entanglement…

统计力学 · 物理学 2015-06-15 Viktor Eisler , Ingo Peschel

We propose an efficient numerical method for a non-selfadjoint Steklov eigenvalue problem. The Lagrange finite element is used for discretization. The convergence is proved using the spectral perturbation theory for compact operators. The…

数值分析 · 数学 2018-04-10 Juan Liu , Jiguang Sun , Tiara Turner

This paper presents recent results obtained by the authors (partly in collaboration with A. Dabrowska) concerning expansions of zonal functions on Euclidean spheres into spherical harmonics and some applications of such expansions for…

数学物理 · 物理学 2008-04-24 Agata Bezubik , Aleksander Strasburger

It is shown that eigenvalues of Laplace-Beltrami operators on compact Riemannian manifolds can be determined as limits of eigenvalues of certain finite-dimensional operators in spaces of polyharmonic functions with singularities. In…

泛函分析 · 数学 2014-03-21 Isaac Z. Pesenson

Decoupled fractional Laplacian wave equation can describe the seismic wave propagation in attenuating media. Fourier pseudospectral implementations, which solve the equation in spatial frequency domain, are the only existing methods for…

数值分析 · 数学 2018-01-08 Yiran Xu , Jingye Li , Guofei Pang , Zhikai Wang , Xiaohong Chen

A mechanism is described to symmetrize the ultraspherical spectral method for self-adjoint problems. The resulting discretizations are symmetric and banded. An algorithm is presented for an adaptive spectral decomposition of self-adjoint…

数值分析 · 数学 2020-04-22 Jared Lee Aurentz , Richard Mikael Slevinsky

For the accurate representation and reconstruction of band-limited signals on the sphere, an optimal-dimensionality sampling scheme has been recently proposed which requires the optimal number of samples equal to the number of degrees of…

信息论 · 计算机科学 2017-09-11 Wajeeha Nafees , Zubair Khalid , Rodney A. Kennedy , Jason D. McEwen

Spherically embedded spatial data are spatially indexed observations whose values naturally reside on or can be equivalently mapped to the unit sphere. Such data are increasingly ubiquitous in fields ranging from geochemistry to demography.…

统计方法学 · 统计学 2026-01-26 Jiazhen Xu , Han Lin Shang

Starting from the observation that one of the most successful methods for solving the Kohn-Sham equations for periodic systems -- the plane-wave method -- is a spectral method based on eigenfunction expansion, we formulate a spectral method…

计算物理 · 物理学 2016-03-08 Amartya S. Banerjee , Ryan S. Elliott , Richard D. James

The Steklov problem is an eigenvalue problem with the spectral parameter in the boundary conditions, which has various applications. Its spectrum coincides with that of the Dirichlet-to-Neumann operator. Over the past years, there has been…

谱理论 · 数学 2014-11-25 Alexandre Girouard , Iosif Polterovich

We consider multi-variate signals spanned by the integer shifts of a set of generating functions with distinct frequency profiles and the problem of reconstructing them from samples taken on a random periodic set. We show that such a…

泛函分析 · 数学 2023-10-13 Jorge Antezana , Diana Carbajal , José Luis Romero

A spectral solution method is proposed to solve a previuously developed non-equilibrium statistical model describing partial thermalization of produced charged hadrons in relativistic heavy-ion collisions, thus improving the accuracy of the…

高能物理 - 唯象学 · 物理学 2024-10-10 A. Rizzi , G. Wolschin

This paper discusses the use of absolutely one-homogeneous regularization functionals in a variational, scale space, and inverse scale space setting to define a nonlinear spectral decomposition of input data. We present several theoretical…

数值分析 · 计算机科学 2016-01-13 Martin Burger , Guy Gilboa , Michael Moeller , Lina Eckardt , Daniel Cremers