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Laplacian eigenvalues for large negative Robin parameters on domains with outward peaks

Konstantin Pankrashkin, Firoj Sk, Marco Vogel

TL;DR

The paper analyzes the leading-order behavior of individual Robin Laplacian eigenvalues on domains with outward peaks as the Robin parameter becomes large. By reducing the problem to a cylindrical peak model and exploiting a transverse decomposition with the first cross-sectional Robin eigenfunction, the authors derive a sharp asymptotic expansion $\lambda_j(R^\Omega_\alpha)=A_\omega^{2/(2-q)}\lambda_j(L_1)\alpha^{2/(2-q)}+O(\alpha^{2/(2-q)-(q-1)})$, where $A_\omega=\mathcal{H}^{d-2}(\partial\omega)/\mathcal{H}^{d-1}(\omega)$ and $L_1$ is the one-dimensional operator $L_1 f= -f''+\big( {q^2(d-1)^2-2q(d-1) \over 4s^2}-1/s^q\big)f$. An Agmon-type estimate shows localization of eigenfunctions near the peak tip, and the analysis extends previous ball-cross-section results to general cross-sections $\omega$, illuminating how sharpness $q$ and geometry enter the asymptotics. The methods rely on variational principles, a cylindrical coordinate reduction, and careful truncation arguments to isolate peak contributions, with potential for generalizations to multiple peaks and non-isotropic settings.

Abstract

We study the asymptotic behavior of individual eigenvalues of the Laplacian in domains with outward peaks for large negative Robin parameters. A large class of cross-sections is allowed, and the resulting asymptotic expansions reflect both the sharpness of the peak and the geometric shape of its cross-section. The results are an extension of previous works dealing with peaks whose cross-sections are balls.

Laplacian eigenvalues for large negative Robin parameters on domains with outward peaks

TL;DR

The paper analyzes the leading-order behavior of individual Robin Laplacian eigenvalues on domains with outward peaks as the Robin parameter becomes large. By reducing the problem to a cylindrical peak model and exploiting a transverse decomposition with the first cross-sectional Robin eigenfunction, the authors derive a sharp asymptotic expansion , where and is the one-dimensional operator . An Agmon-type estimate shows localization of eigenfunctions near the peak tip, and the analysis extends previous ball-cross-section results to general cross-sections , illuminating how sharpness and geometry enter the asymptotics. The methods rely on variational principles, a cylindrical coordinate reduction, and careful truncation arguments to isolate peak contributions, with potential for generalizations to multiple peaks and non-isotropic settings.

Abstract

We study the asymptotic behavior of individual eigenvalues of the Laplacian in domains with outward peaks for large negative Robin parameters. A large class of cross-sections is allowed, and the resulting asymptotic expansions reflect both the sharpness of the peak and the geometric shape of its cross-section. The results are an extension of previous works dealing with peaks whose cross-sections are balls.

Paper Structure

This paper contains 14 sections, 22 theorems, 211 equations, 2 figures.

Key Result

Theorem 2

Let $\Omega\subset\mathbb{R}^d$ be as in Definition defin1 with some bounded Lipschitz cross-section $\omega\subset\mathbb{R}^{d-1}$ and sharpness order $q\in(1,2)$, then for any fixed $j\in\mathbb{N}$ one has where $L_1$ is the differential operator in $L^2(0,\infty)$ defined first by and then extended using the Friedrichs extension.

Figures (2)

  • Figure 1: An example of a domain $\Omega$ with an outward peak with cross-section $\omega$.
  • Figure 2: An example of the model peak domain $V_{\varepsilon,I}$.

Theorems & Definitions (38)

  • Definition 1
  • Theorem 2
  • Theorem 3
  • Corollary 4
  • Remark 5
  • Lemma 6
  • Lemma 7
  • Lemma 8
  • proof
  • Lemma 9
  • ...and 28 more