A Metric Sturm-Liouville theory in Two Dimensions

TL;DR

This paper extends Sturm-Liouville theory to two dimensions, providing bounds on the zero set of eigenfunction combinations on manifolds, using optimal transport and Wasserstein metrics.

Contribution

It introduces a sharp two-dimensional generalization of Sturm-Liouville bounds, employing optimal transport techniques and new Wasserstein inequalities.

Findings

Bounds on zero set length scale as √n / √log n

Optimality shown on tori and spheres

New Wasserstein inequality relating measures and zero sets

Abstract

A central result of Sturm-Liouville theory (also called the Sturm-Hurwitz Theorem) states that if $\phi_k$ is a sequence of eigenfunctions of a second order differential operator on the interval $I \subset \mathbb{R}$, then any linear combination satisfies a uniform bound on the roots $$ \# \left\{x \in I:\sum_{k \geq n}{ a_k \phi_k(x)} = 0 \right\} \geq n-1.$$ We provide a sharp (up to logarithmic factors) generalization to two dimensions: let $(M,g)$ be a compact two-dimensional manifold (with or without boundary), let $(\phi_k)$ denote the sequence of eigenfunctions of a uniformly elliptic operator $-\mbox{div}(a(\cdot) \nabla)$ (with Dirichlet or Neumann boundary conditions). Then, for any linear combination of eigenfunctions above a certain index $n$, $$ f = \sum_{k \geq n}{a_k \phi_k} ~ \mbox{we have} \quad \mathcal{H}^1 \left\{ x: f(x) = 0\right\} \gtrsim_{} \frac{\sqrt{n}}{\sqrt{\log{n}}} \log \left(n \frac{\|f\|_{L^2(M)}}{\|f\|_{L^1(M)}} \right)^{-1/2} \frac{\|f\|_{L^1(M)}}{\| f \|_{L^{\infty}(M)}} .$$ Examples on $M=\mathbb{T}^2$ and $M=\mathbb{S}^2$ shows that this is optimal up to the logarithmic factors. The proof is using optimal transport and a new inequality for the Wasserstein metric $W_p$: if $f(x)dx$ and $g(x)dx$ are two absolutely continuous measures on a two-dimensional domain $M$ with continuous densities and the same total mass, then, for all $1 \leq p <\infty$, $$ W_p(f(x)dx, g(x) dx) \cdot \mathcal{H}^1 \left\{x \in M: f(x) = g(x) \right\} \gtrsim_{M,p} \frac{\|f-g\|_{L^1(M)}^{1+1/p}}{\|f-g\|_{L^{\infty}(M)}}.$$