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We develop a theory which describes the behaviour of eigenvalues of a class of one-dimensional random non-Hermitian operators introduced recently by Hatano and Nelson. Under general assumptions on random parameters we prove that the…

Condensed Matter · Physics 2009-10-30 Ilya Ya. Goldsheid , Boris A. Khoruzhenko

A method to derive features of modal eigenvalue traces from known and understood solutions is proposed. It utilizes the concept of subduction from point group theory to obtain the symmetry properties of a target structure from those of a…

Signal Processing · Electrical Eng. & Systems 2024-06-06 Lukas Grundmann , Lukas Warkentin , Dirk Manteuffel

We consider variational problems that model the bending behavior of curves that are constrained to belong to given hypersurfaces. Finite element discretizations of corresponding functionals are justified rigorously via Gamma-convergence.…

Numerical Analysis · Mathematics 2020-04-24 Sören Bartels

We propose a numerical method for computing all eigenvalues (and the corresponding eigenvectors) of a nonlinear holomorphic eigenvalue problem that lie within a given contour in the complex plane. The method uses complex integrals of the…

Numerical Analysis · Mathematics 2011-12-15 Wolf-Jürgen Beyn

We introduce an eigenvalue-preserving transformation algorithm from the generalized eigenvalue problem by matrix pencil of the upper and the lower bidiagonal matrices into a standard eigenvalue problem while preserving sparsity, using the…

Numerical Analysis · Mathematics 2025-05-06 Katsuki Kobayashi , Kazuki Maeda , Satoshi Tsujimoto

In this paper, we prove some fundamental theorems for holomorphic curves on angular domain intersecting a hypersurface, finite set of fixed hyperplanes in general position and finite set of fixed hypersurfaces in general position on complex…

Complex Variables · Mathematics 2017-02-13 Nguyen Van Thin

Computing the dispersion relation for two-dimensional photonic crystals is a notoriously challenging task: It involves solving parameterized Helmholtz eigenvalue problems with high-contrast coefficients. To resolve the challenge, we propose…

Numerical Analysis · Mathematics 2023-11-29 Yueqi Wang , Guanglian Li

Given a differential equation with infinite-dimensional symmetry pseudo-group it is shown, using an example, that it is generally not possible to construct enough joint invariants to form an invariant numerical scheme of the equation. To…

Numerical Analysis · Mathematics 2015-02-20 Raphael Rebelo , Francis Valiquette

This paper proposes a new hybrid high-order discretization for the biharmonic problem and the corresponding eigenvalue problem. The discrete ansatz space includes degrees of freedom in $n-2$ dimensional submanifolds (e.g., nodal values in…

Numerical Analysis · Mathematics 2026-04-06 Yizhou Liang , Ngoc Tien Tran

This report describes the computation of gradients by algorithmic differentiation for statistically optimum beamforming operations. Especially the derivation of complex-valued functions is a key component of this approach. Therefore the…

Numerical Analysis · Computer Science 2019-02-07 Christoph Boeddeker , Patrick Hanebrink , Lukas Drude , Jahn Heymann , Reinhold Haeb-Umbach

The Laplace eigenvalue problem on circular sectors has eigenfunctions with corner singularities. Standard methods may produce suboptimal approximation results. To address this issue, a novel numerical algorithm that enhances standard…

Numerical Analysis · Mathematics 2025-05-16 Thomas Apel , Philipp Zilk

In this paper we consider a class of singularly perturbed domains, obtained by attaching a cylindrical tube to a fixed bounded region and letting its section shrink to zero. We use an Almgren-type monotonicity formula to evaluate the sharp…

Analysis of PDEs · Mathematics 2018-09-11 Veronica Felli , Roberto Ognibene

We extend bifurcation results of nonlinear eigenvalue problems from real Banach spaces to any neighbourhood of a given point. For points of odd multiplicity on these restricted domains, we establish that the component of solutions through…

Functional Analysis · Mathematics 2020-11-25 Shane Arora

The eigenvalues of matrices representing the structure of large-scale complex networks present a wide range of applications, from the analysis of dynamical processes taking place in the network to spectral techniques aiming to rank the…

Social and Information Networks · Computer Science 2015-03-17 Victor M. Preciado , Ali Jadbabaie

The boundary of a numerical range of a finite matrix is always a nice curve (algebraic, closed and simple), but the equation it satisfies is often very complicated. We will show that, furthermore, there is no hope of describing these curves…

History and Overview · Mathematics 2025-07-10 Petr Blaschke

For all sufficiently large complex $\rho$, and for arbitrary matrix dimension $n$, it is shown that the Kac--Murdock--Szeg\H{o} matrix $K_n(\rho)=\left[\rho^{|j-k|}\right]_{j,k=1}^{n}$ possesses exactly two eigenvalues whose magnitude is…

Numerical Analysis · Mathematics 2019-04-24 George Fikioris , Themistoklis K. Mavrogordatos

An eigenvalue problem relevant for non-linear sigma model with singular metric is considered. We prove the existence of a non-degenerate pure point spectrum for all finite values of the size R of the system. In the infrared (IR) regime…

Mathematical Physics · Physics 2008-11-26 V. A. Fateev , E. Onofri

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 order to obtain stable and accurate general relativistic simulations, re-formulations of the Einstein equations are necessary. In a series of our works, we have proposed using eigenvalue analysis of constraint propagation equations for…

General Relativity and Quantum Cosmology · Physics 2017-08-23 Gen Yoneda , Hisa-aki Shinkai

Many complex systems can be reduced to their key components through spectrally decomposing matrices that capture their dynamics. These matrices can in turn be constructed from data, often by least-squares fitting: examples of algorithms to…

Numerical Analysis · Mathematics 2026-05-18 Caroline Wormell