Steklov eigenvalues of curvilinear polygons are asymptotically equal to explicit quasi-eigenvalues built from side lengths and angles, with errors tending to zero.
Spectral asymptotics for Dirichlet to Neumann operator
1 Pith paper cite this work. Polarity classification is still indexing.
abstract
We consider eigenvalues of the Dirichlet-to-Neumann operator for Laplacian in the domain (or manifold) with edges and establish the asymptotics of the eigenvalue counting function \begin{equation*} \mathsf{N}(\lambda)= \kappa_0\lambda^d +O(\lambda^{d-1})\qquad \text{as}\ \ \lambda\to+\infty, \end{equation*} where $d$ is dimension of the boundary. Further, in certain cases we establish two-term asymptotics \begin{equation*} \mathsf{N}(\lambda)= \kappa_0\lambda^d+\kappa_1\lambda^{d-1}+o(\lambda^{d-1})\qquad \text{as}\ \ \lambda\to+\infty. \end{equation*} We also establish improved asymptotics for Riesz means.
fields
math.SP 1years
2019 1verdicts
ACCEPT 1representative citing papers
citing papers explorer
-
Sloshing, Steklov and corners: Asymptotics of Steklov eigenvalues for curvilinear polygons
Steklov eigenvalues of curvilinear polygons are asymptotically equal to explicit quasi-eigenvalues built from side lengths and angles, with errors tending to zero.