A nodal domain theorem and a higher-order Cheeger inequality for the graph $p$-Laplacian
Francesco Tudisco, Matthias Hein

TL;DR
This paper establishes a nodal domain theorem for the nonlinear graph p-Laplacian, analyzes the behavior for different p values, and proves a higher-order Cheeger inequality, extending spectral graph theory to nonlinear operators.
Contribution
It introduces a nodal domain theorem for the graph p-Laplacian for all p ≥ 1 and derives a higher-order Cheeger inequality, generalizing classical results to nonlinear settings.
Findings
Bounds on nodal domains are tight for p ≥ 1.
Behavior of nodal domains differs at p=1 from p>1.
Higher-order Cheeger inequality becomes tight as p approaches 1.
Abstract
We consider the nonlinear graph -Laplacian and its set of eigenvalues and associated eigenfunctions of this operator defined by a variational principle. We prove a nodal domain theorem for the graph -Laplacian for any . While for the bounds on the number of weak and strong nodal domains are the same as for the linear graph Laplacian (), the behavior changes for . We show that the bounds are tight for as the bounds are attained by the eigenfunctions of the graph -Laplacian on two graphs. Finally, using the properties of the nodal domains, we prove a higher-order Cheeger inequality for the graph -Laplacian for . If the eigenfunction associated to the -th variational eigenvalue of the graph -Laplacian has exactly strong nodal domains, then the higher order Cheeger inequality becomes tight as .
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.
