Geometric bounds for low Steklov eigenvalues of finite volume hyperbolic surfaces
Asma Hassannezhad, Antoine Métras, Hélène Perrin
TL;DR
The paper addresses geometric lower bounds for the low Steklov eigenvalues on finite-volume hyperbolic surfaces with geodesic boundary. It develops an adapted thick-thin decomposition and leverages DR86 energy-oscillation estimates for Steklov eigenfunctions, together with a topological lemma controlling the length of the shortest separating multi-geodesics $\ell_k$, to relate $\sigma_k$ to $\ell_k$ and boundary geometry. The main result provides a sharp bound $\sigma_k(\Sigma) \ge \frac{C}{b|\chi|^3}\min\{\frac{1}{(1+\beta)^2 e^{\beta}}, \frac{\ell_k}{\beta}\}$ for $0<k\le K$ and a uniform bound for $\sigma_{K+1}$, with extensions to curvature-pinched and noncompact finite-volume cases and connections to the Schoen–Wolpert–Yau inequality for Laplacians. The work improves previous compact-case results, broadens them to noncompact and pinched settings, and provides a framework for analyzing the dependence of the Steklov spectrum on the geometric data via $\ell_k$ and boundary length $\beta$.
Abstract
We obtain geometric lower bounds for the low Steklov eigenvalues of finite-volume hyperbolic surfaces with geodesic boundary. The bounds we obtain depend on the length of a shortest multi-geodesic disconnecting the surfaces into connected components each containing a boundary component and the rate of dependency on it is sharp. Our result also identifies situations when the bound is independent of the length of this multi-geodesic. The bounds also hold when the Gaussian curvature is bounded between two negative constants and can be viewed as a counterpart of the well-known Schoen-Wolpert-Yau inequality for Laplace eigenvalues. The proof is based on analysing the behaviour of the {corresponding Steklov} eigenfunction on an adapted version of thick-thin decomposition for hyperbolic surfaces with geodesic boundary. Our results extend and improve the previously known result in the compact case obtained by a different method.
