
TL;DR
This survey reviews recent advances in understanding the size, structure, and properties of nodal sets of Laplacian eigenfunctions on compact Riemannian manifolds, combining local and global analytical techniques.
Contribution
It synthesizes recent results, including bounds on nodal set measures, eigenfunction restrictions, and the interplay of local and global methods in the field.
Findings
Logunov-Malinnokova bounds on hypersurface measures of nodal sets
Donnelly-Fefferman's sharp upper bounds for real analytic metrics
Jung-Zelditch lower bounds on nodal domain counts
Abstract
This is a survey for the JDG 50th Anniversary conference of recent results on nodal sets of eigenfunctions of the Laplacian on a compact Riemannian manifold. In part the techniques are `local', i.e. only assuming eigenfunctions are defined on small balls, and in part the techniques are `global', i.e. exploiting dynamics of the geodesic flow. The local part begins with a review of doubling indices and freqeuency functions as local measures of fast or slow growth of eigenfunctions. The pattern of boxes with maximal doubling indices plays a central role in the results of Logunov-Malinnokova, giving upper and lower bounds for hypersurface measures of nodal sets in the setting of general metrics. The proofs of both their polynomial upper bound and sharp lower bound are sketched. The survey continues with a global proof of the sharp upper bound for real analytic metrics…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
