Volume growth and spectrum for general graph Laplacians
Matthew Folz

TL;DR
This paper establishes estimates linking the volume growth of weighted graphs, measured with specialized metrics, to the bottom of the essential spectrum of general graph Laplacians, providing insights into spectral properties and conditions for their absence.
Contribution
It introduces new estimates connecting volume growth and spectral properties using adapted metrics, improving upon previous results for general graph Laplacians.
Findings
Derived bounds relating volume growth to the essential spectrum
Conditions for absence of the essential spectrum
Results applicable to unbounded Laplacians
Abstract
We prove estimates relating exponential or sub-exponential volume growth of weighted graphs to the bottom of the essential spectrum for general graph Laplacians. The volume growth is computed with respect to a metric adapted to the Laplacian, and use of these metrics produces better results than those obtained from consideration of the graph metric only. Conditions for absence of the essential spectrum are also discussed. These estimates are shown to be optimal or near-optimal in certain settings and apply even if the Laplacian under consideration is an unbounded operator.
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.
Taxonomy
TopicsSpectral Theory in Mathematical Physics · Advanced Mathematical Modeling in Engineering · Nonlinear Partial Differential Equations
