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We analyse how the spectrum of the anisotropic Maxwell system with bounded conductivity on a Lipschitz domain is approximated by domain truncation. First we prove a new non-convex enclosure for the spectrum of the Maxwell system, with weak…

Spectral Theory · Mathematics 2022-08-30 Sabine Boegli , Francesco Ferraresso , Marco Marletta , Christiane Tretter

We consider the transmission eigenvalue problem for an impenetrable obstacle with Dirichlet boundary condition surrounded by a thin layer of non-absorbing inhomogeneous material. We derive a rigorous asymptotic expansion for the first…

Analysis of PDEs · Mathematics 2013-12-06 Fioralba Cakoni , Nicolas Chaulet , Houssem Haddar

The interior transmission eigenvalue problem (ITP) plays a central role in inverse scattering theory and in the spectral analysis of inhomogeneous media. Despite its smooth dependence on the refractive index at the PDE level, the…

Numerical Analysis · Mathematics 2026-05-20 Davide Pradovera , Alessandro Borghi , Lukas Pieronek , Andreas Kleefeld

Krylov subspace methods are among the most extensively studied early fault-tolerant quantum algorithms for estimating ground-state energies of quantum systems. However, the rapid onset of ill-conditioning might make accurate energies…

Quantum Physics · Physics 2026-04-14 Maria Gabriela Jordão Oliveira , Karl Michael Ziems , Nina Glaser

The paper is dedicated to studying the problem of existence and uniqueness of solutions as well as existence of and exponential convergence to invariant measures for McKean-Vlasov stochastic differential equations with Markovian switching.…

Probability · Mathematics 2022-02-02 Zhenxin Liu , Jun Ma

The theory of persistence, which arises from topological data analysis, has been intensively studied in the one-parameter case both theoretically and in its applications. However, its extension to the multi-parameter case raises numerous…

Algebraic Topology · Mathematics 2019-01-29 Nicolas Berkouk

We study a nonlinear Neumann-to-Steklov limit generated by a family of interior weights concentrating at the boundary. On a class of admissible possibly irregular domains obtained from the unit ball by trace-compatible Sobolev…

Analysis of PDEs · Mathematics 2026-05-12 Alexander Menovschikov

We consider a non-compact Riemannian periodic manifold such that the corresponding Laplacian has a spectral gap. By continuously perturbing the periodic metric locally we can prove the existence of eigenvalues in a gap. A lower bound on the…

Mathematical Physics · Physics 2007-05-23 Olaf Post

Maxwell's equations are considered with transparent boundary conditions, for initial conditions and inhomogeneity having support in a bounded, not necessarily convex three-dimensional domain or in a collection of such domains. The numerical…

Numerical Analysis · Mathematics 2020-10-21 Balázs Kovács , Christian Lubich

In the framework of variable exponent Sobolev spaces, we prove that the variational eigenvalues defined by inf sup procedures of Rayleigh ratios for the Luxemburg norms are all stable under uniform convergence of the exponents.

Analysis of PDEs · Mathematics 2020-04-01 Francesca Colasuonno , Marco Squassina

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

We prove the global stability of the Minkowski space viewed as the trivial solution of the Einstein-Vlasov system. To estimate the Vlasov field, we use the vector field and modified vector field techniques developed in [FJS15; FJS17]. In…

General Relativity and Quantum Cosmology · Physics 2021-03-24 David Fajman , Jérémie Joudioux , Jacques Smulevici

Our aim is to study the backward problem, i.e. recover the initial data from the terminal observation, of the subdiffusion with time dependent coefficients. First of all, by using the smoothing property of solution operators and a…

Numerical Analysis · Mathematics 2023-02-01 Zhengqi Zhang , Zhi Zhou

The stability of nonaxisymmetric perturbations in differentially rotating astrophysical accretion disks is analyzed by fully incorporating the properties of shear flows. We verify the presence of discrete unstable eigenmodes with complex…

Astrophysics · Physics 2009-10-31 K. Noguchi , T. Tajima , R. Matsumoto

We prove two explicit bounds for the multiplicities of Steklov eigenvalues $\sigma_k$ on compact surfaces with boundary. One of the bounds depends only on the genus of a surface and the index $k$ of an eigenvalue, while the other depends as…

Differential Geometry · Mathematics 2013-11-26 Mikhail Karpukhin , Gerasim Kokarev , Iosif Polterovich

Using methods in the spirit of deterministic homogenisation theory we obtain convergence of the Steklov eigenvalues of a sequence of domains in a Riemannian manifold to weighted Laplace eigenvalues of that manifold. The domains are obtained…

Spectral Theory · Mathematics 2021-07-09 Alexandre Girouard , Jean Lagacé

This work deals with theoretical and numerical aspects related to the behavior of the Steklov-Lam\'e eigenvalues on variable domains. After establishing the eigenstructure for the disk, we prove that for a certain class of Lam\'e…

Optimization and Control · Mathematics 2022-05-24 Beniamin Bogosel , Pedro R. S. Antunes

We present a general counting result for the unstable eigenvalues of linear operators of the form $JL$ in which $J$ and $L$ are skew- and self-adjoint operators, respectively. Assuming that there exists a self-adjoint operator $K$ such that…

Exactly Solvable and Integrable Systems · Physics 2017-08-23 Mariana Haragus , Jin Li , Dmitry E. Pelinovsky

In this paper we give pinching theorems for the first nonzero eigenvalue of the Laplacian on the compact hypersurfaces of ambient spaces with bounded sectional curvature. As application we deduce rigidity results for stable constant mean…

Differential Geometry · Mathematics 2017-02-22 Jean-Francois Grosjean , Julien Roth

Several problems in machine learning, statistics, and other fields rely on computing eigenvectors. For large scale problems, the computation of these eigenvectors is typically performed via iterative schemes such as subspace iteration or…

Numerical Analysis · Mathematics 2020-11-03 Vasileios Charisopoulos , Austin R. Benson , Anil Damle