The Graph \(\boldsymbol{\infty }\)-Laplacian Eigenvalue Problem

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Authors: Piero Deidda, Martin Burger, Mario Putti, Francesco Tudisco
Cited by: 0
References: 38

Abstract

Abstract. We analyze various formulations of the $\infty$-Laplacian eigenvalue problem on graphs, comparing their properties and highlighting their respective advantages and limitations. First, we investigate the graph $\infty$-eigenpairs arising as limits of p-Laplacian eigenpairs, extending key results from the continuous setting to the discrete domain. We prove that every limit of p-Laplacian eigen-pair, for p going to $\infty$, satisfies a limit eigenvalue equation and establish that the corresponding eigenvalue can be bounded from below by the packing radius of the graph, indexed by the number of nodal domains induced by the eigenfunction. Additionally, we show that the limits, for p going to $\infty$, of the variational p-Laplacian eigenvalues are bounded both from above and from below by the packing radii, achieving equality for the smallest two variational eigenvalues and corresponding packing radii of the graph. In the second part of the paper, we introduce generalized $\infty$-Laplacian eigenpairs as generalized critical points and values of the $\infty$-Rayleigh quotient. We prove that the generalized variational $\infty$-eigenvalues satisfy the same upper bounds in terms of packing radii as the limit of the variational eigenvalues, again with equality holding between the smallest two $\infty$-variational eigenvalues and the first and second packing radii of the graph. Moreover, we establish that any solution to the limit eigenvalue equation is also a generalized eigenpair, while any generalized eigenpair satisfies the limit eigenvalue equation on a suitable subgraph.

Fields of Study & Subjects

Nonlinear Partial Differential Equations Graph theory and applications Topology Optimization in Engineering

Publication details

Journal / source
SIAM Journal on Mathematical Analysis
Volume
58
Issue
1
Pages
1–34
Publication date
2 January 2026
Language
EN