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Recent work of the authors and their collaborators has uncovered fundamental connections between the Dirichlet-to-Neumann map, the spectral flow of a certain family of self-adjoint operators, and the nodal deficiency of a Laplacian…

Spectral Theory · Mathematics 2023-03-07 Gregory Berkolaiko , Graham Cox , Bernard Helffer , Mikael Persson Sundqvist

We extend to the infinite dimensional context the link between two completely different topics recently highlighted by the authors: the classical eigenvalue problem for real square matrices and the Brouwer degree for maps between oriented…

Spectral Theory · Mathematics 2021-01-08 Pierluigi Benevieri , Alessandro Calamai , Massimo Furi , Maria Patrizia Pera

The homogenization of eigenvalues of non-Hermitian Maxwell operators is studied by the H-convergence method. It is assumed that the Maxwell systems are equipped with suitable m-dissipative boundary conditions, namely, with Leontovich or…

Analysis of PDEs · Mathematics 2026-01-23 Matthias Eller , Illya M. Karabash

The system of equations for water waves, when linearized about equilibrium of a fluid body with a varying bottom boundary, is described by a spectral problem for the Dirichlet -- Neumann operator of the unperturbed free surface. This…

Analysis of PDEs · Mathematics 2018-02-28 Walter Craig , Maxime Gazeau , Christophe Lacave , Catherine Sulem

It was recently shown that the nodal deficiency of an eigenfunction is encoded in the spectrum of the Dirichlet-to-Neumann operators for the eigenfunction's positive and negative nodal domains. While originally derived using symplectic…

Analysis of PDEs · Mathematics 2024-02-15 Gregory Berkolaiko , Graham Cox , Jeremy L. Marzuola

We introduce a simple, general, and convergent scheme to compute generalized eigenfunctions of self-adjoint operators with continuous spectra on rigged Hilbert spaces. Our approach does not require prior knowledge about the eigenfunctions,…

Numerical Analysis · Mathematics 2024-10-14 Matthew J. Colbrook , Andrew Horning , Tianyiwa Xie

We propose a unified approach to nonlinear modal analysis in dissipative oscillatory systems. This approach eliminates conflicting definitions, covers both autonomous and time-dependent systems, and provides exact mathematical existence,…

Dynamical Systems · Mathematics 2016-07-20 George Haller , Sten Ponsioen

We consider an abstract first order evolution equation in a Hilbert space in which the linear part is represented by a self-adjoint nonnegative operator A with discrete spectrum, and the nonlinear term has order greater than one at the…

Analysis of PDEs · Mathematics 2014-02-24 Marina Ghisi , Massimo Gobbino , Alain Haraux

In this paper we introduce a new method for exact decomposition of propagating, nonlinear magnetohydrodynamic (MHD) disturbances into their component eigenenergies associated with the familiar slow, Alfv\'en, and fast wave eigenmodes, and…

Solar and Stellar Astrophysics · Physics 2024-02-09 Abbas Raboonik , Lucas Tarr , David Pontin

The eigenmirror problem asks: ``When does the reflection of a surface in a curved mirror appear undistorted to an observer?'' We call such a surface an {\em eigensurface} and the corresponding mirror an {\em eigenmirror}. The data for an…

Optics · Physics 2024-11-19 R. Andrew Hicks

We propose a new normalized Sobolev gradient flow for the Gross-Pitaevskii eigenvalue problem based on an energy inner product that depends on time through the density of the flow itself. The gradient flow is well-defined and converges to…

Numerical Analysis · Mathematics 2020-04-03 Patrick Henning , Daniel Peterseim

The short-time and global behaviour are studied for an autonomous linear evolution equation, which is defined by a generator inducing a uniformly bounded holomorphic semigroup in a Hilbert space. A general necessary and sufficient condition…

Analysis of PDEs · Mathematics 2018-12-18 Jon Johnsen

It is a well-known result of T.\,Kato that given a continuous path of square matrices of a fixed dimension, the eigenvalues of the path can be chosen continuously. In this paper, we give an infinite-dimensional analogue of this result,…

Functional Analysis · Mathematics 2020-06-11 Nurulla Azamov , Tom Daniels , Yohei Tanaka

This paper studies first the differential inequalities that make it possible to build a global theory of pseudo-holomorphic functions in the case of one or several complex variables. In the case of one complex dimension, we prove that the…

Complex Variables · Mathematics 2016-06-28 Giampiero Esposito , Raju Roychowdhury

A quasi-product on the normed space is defined. In addition, the notions of the eigenvectors of a linear operator can be extended for the nonlinear operator. Based on the quasi-product and the generalized eigenvectors, the spectral theorems…

Functional Analysis · Mathematics 2020-02-18 Wen Hsiang Wei

The geometric Langlands program is distinguished in assigning spectral decompositions to all representations, not only the irreducible ones. However, it is not even clear what is meant by a spectral decomposition when one works with…

Algebraic Geometry · Mathematics 2015-11-05 Sam Raskin

This paper addresses the existence and spectral stability of traveling fronts for nonlinear hyperbolic equations with a positive "damping" term and a reaction function of bistable type. Particular cases of the former include the relaxed…

Analysis of PDEs · Mathematics 2018-02-27 Corrado Lattanzio , Corrado Mascia , Ramón G. Plaza , Chiara Simeoni

We study spectral properties of nonselfadjoint rank one perturbations of compact selfadjoint operators. The problems under consideration include completeness of eigenvectors, relations between completeness of the perturbed operator and its…

Functional Analysis · Mathematics 2016-07-28 Anton D. Baranov , Dmitry V. Yakubovich

The rich spectral information of the graph Laplacian has been instrumental in graph theory, machine learning, and graph signal processing for applications such as graph classification, clustering, or eigenmode analysis. Recently, the Hodge…

Algebraic Topology · Mathematics 2024-03-27 Vincent P. Grande , Michael T. Schaub

We investigate the inverse scale space flow as a decomposition method for decomposing data into generalised singular vectors. We show that the inverse scale space flow, based on convex and absolutely one-homogeneous regularisation…

Numerical Analysis · Mathematics 2016-12-30 Marie Foged Schmidt , Martin Benning , Carola-Bibiane Schönlieb