Constructing Riemannian metrics with prescribed nodal sets for Laplacian eigenfunctions
Yoav Krauz
TL;DR
The paper shows that any configuration of non-intersecting ovals on $\mathbb{S}^2$ can be realized as the nodal set of a Laplacian eigenfunction by appropriately deforming the metric, with quantitative control on the eigenvalue scale and curvature. The authors introduce a three-block construction and an interpolation framework that converts the metric design problem into a vector-field problem, enabling extension of local eigenfunction data to a global metric. They also develop a blueprint-based reduction to handle level-set data and provide a perturbation result: if the oval configuration is grid-drawable, an infinitesimal round-metric perturbation yields an eigenfunction with the prescribed nodal pattern and a quadratic eigenvalue growth in the grid size. Overall, the work constructs explicit metrics realizing rich nodal topologies on $\mathbb{S}^2$ and gives sharp-linear-scale eigenvalue bounds tied to the nodal graph complexity.
Abstract
Let $C$ be a configuration of $n$ ovals in $\mathbb{S}^2$. We show that there is a Riemannian metric $g$ over $\mathbb{S}^2$ with a Laplacian eigenfunction whose zero set is $C$, and the corresponding eigenvalue is the $k$-th eigenvalue for $n\leq k \leq α_1 n$. We also have that $λ\operatorname{Vol}_g\left(\mathbb{S}^2\right) = Θ(n)$. Additionally, assuming $C$ can be drawn as a topological minor of the $m\times m$ grid graph, we show that there is an infinitesimal perturbation of the round metric on $\mathbb{S}^2$ and a corresponding Laplacian eigenfunction $f$ with eigenvalue $Θ(m^2)$ such that the zero set of $f$ is equivalent to $C$.
