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With the regular decomposition technique, we decompose the space $\mathbf{H}_0^s(\mathbf{curl}; \Omega)$ into the sum of a vector potential space and the gradient of a scalar space, both possessing higher regularity. Based on this new high…

Numerical Analysis · Mathematics 2025-12-18 Feiyi Liao , Haochen Liu , Hehu Xie

In this article, we propose a new numerical approach to high-dimensional partial differential equations (PDEs) arising in the valuation of exotic derivative securities. The proposed method is extended from Reisinger and Wittum (2007) and…

Computational Finance · Quantitative Finance 2013-10-04 Christoph Reisinger , Rasmus Wissmann

Envelopes were recently proposed as methods for reducing estimative variation in multivariate linear regression. Estimation of an envelope usually involves optimization over Grassmann manifolds. We propose a fast and widely applicable…

Methodology · Statistics 2014-03-18 R. Dennis Cook , Xin Zhang

Recently developed concept of dissipative measure-valued solution for compressible flows is a suitable tool to describe oscillations and singularities possibly developed in solutions of multidimensional Euler equations. In this paper we…

Numerical Analysis · Mathematics 2021-05-06 Mária Lukáčová-Medviďová , Yuhuan Yuan

We prove two upper bounds for the Steklov eigenvalues of a compact Riemannian manifold with boundary. The first involves the volume of the manifold and of its boundary, as well as packing and volume growth constants of the boundary and its…

Spectral Theory · Mathematics 2023-08-22 Bruno Colbois , Alexandre Girouard

This paper is concerned with the least squares inverse eigenvalue problem of reconstructing a linear parameterized real symmetric matrix from the prescribed partial eigenvalues in the sense of least squares, which was originally proposed by…

Numerical Analysis · Mathematics 2018-06-19 Teng-Teng Yao , Zheng-Jian Bai , Xiao-Qing Jin , Zhi Zhao

This paper studies the family of interior penalty discontinuous Galerkin methods for solving the Herrmann formulation of the linear elasticity eigenvalue problem in heterogeneous media. By employing a weighted Lam\'e coefficient norm within…

Numerical Analysis · Mathematics 2024-02-28 Arbaz Khan , Felipe Lepe , Jesus Vellojin

We propose a method for obtaining rigorous and accurate upper and lower bounds on the eigenvalues of ordinary and partial differential operators in bounded regions of Euclidean space. It uses a boundary condition homotopy method starting…

Spectral Theory · Mathematics 2007-05-23 E B Davies

We consider a compact Riemannian manifold M endowed with a potential 1-form A and study the magnetic Laplacian associated with those data (with Neumann magnetic boundary condition if the bpoundary of M is not empty). We first establish a…

Differential Geometry · Mathematics 2016-11-08 Bruno Colbois , Alessandro Savo

Solving large-scale eigenvalue problems poses a significant challenge due to the computational complexity and limitations on the parallel scalability of the orthogonalization operation, when many eigenpairs are required. In this paper, we…

Numerical Analysis · Mathematics 2025-11-11 Tianyang Chu , Xiaoying Dai , Shengyue Wang , Aihui Zhou

In this work, we present an alternative formulation of the higher eigenvalue problem associated to the infinity Laplacian, which opens the door for numerical approximation of eigenfunctions. A rigorous analysis is performed to show the…

Numerical Analysis · Mathematics 2024-01-23 Farid Bozorgnia , Leon Bungert , Daniel Tenbrinck

Numerical computation of shape gradients from Eulerian derivatives is essential to wildly used gradient type methods in shape optimization. Boundary type Eulerian derivatives are popularly used in literature. The volume type Eulerian…

Numerical Analysis · Mathematics 2018-07-03 Shengfeng Zhu , Xianliang Hu

In this paper two types of multgrid methods, i.e., the Rayleigh quotient iteration and the inverse iteration with fixed shift, are developed for solving the Maxwell eigenvalue problem with discontinuous relative magnetic permeability and…

Numerical Analysis · Mathematics 2017-02-28 Jiayu Han

This paper is concerned with reconstruction issue of inverse obstacle problems governed by partial differential equations and consists of two parts. (i) The first part considers the foundation of the probe and enclosure methods for an…

Analysis of PDEs · Mathematics 2022-07-11 Masaru Ikehata

The parallel orbital-updating approach is an orbital/eigenfunction iteration based approach for solving eigenvalue problems when many eigenpairs are required. It has been proven to be efficient, for instance, in electronic structure…

Numerical Analysis · Mathematics 2025-07-08 Xiaoying Dai , Yan Li , Bin Yang , Aihui Zhou

In this paper we take a quasi-Newton approach to nonlinear eigenvalue problems (NEPs) of the type $M(\lambda)v=0$, where $M:\mathbb{C}\rightarrow\mathbb{C}^{n\times n}$ is a holomorphic function. We investigate which types of approximations…

Numerical Analysis · Mathematics 2017-03-01 Elias Jarlebring , Antti Koskela , Giampaolo Mele

We develop eigenvalue estimates for the Laplacians on discrete and metric graphs using different types of boundary conditions at the vertices of the metric graph. Via an explicit correspondence of the equilateral metric and discrete graph…

Spectral Theory · Mathematics 2008-04-08 Olaf Post , Fernando Lledo

In this paper we study eigenvalues of the closed eigenvalue problem of the Witten-Laplacian on an $n$-dimensional compact Riemannian manifold. Estimates for eigenvalues are given. As applications, we give a sharp upper bound for the…

Differential Geometry · Mathematics 2017-01-08 Qing-Ming Cheng , Lingzhong Zeng

The Steklov eigenvalue problem, first introduced over 125 years ago, has seen a surge of interest in the past few decades. This article is a tour of some of the recent developments linking the Steklov eigenvalues and eigenfunctions of…

Spectral Theory · Mathematics 2023-09-06 Bruno Colbois , Alexandre Girouard , Carolyn Gordon , David Sher

Entropy numbers and covering numbers of sets and operators are well known geometric notions, which found many applications in various fields of mathematics, statistics, and computer science. Their values for finite-dimensional embeddings…

Functional Analysis · Mathematics 2018-02-05 Marta Kossaczká , Jan Vybíral