Spectral conditions for a graph to be Hamilton-connected
Gui-Dong Yu, Yi-Zheng Fan

TL;DR
This paper establishes spectral criteria involving adjacency and signless Laplacian matrices that guarantee a graph is Hamilton-connected, and provides conditions for Hamiltonian paths and cycles based on spectral radius.
Contribution
It introduces new spectral conditions for Hamilton-connectedness and Hamiltonian paths using adjacency and signless Laplacian spectra, extending previous graph theory results.
Findings
Spectral conditions for Hamilton-connectedness based on spectral radius
Sufficient spectral conditions for Hamiltonian paths and cycles
Use of adjacency and signless Laplacian matrices in spectral graph theory
Abstract
In this paper we establish some spectral conditions for a graph to be Hamilton-connected in terms of the spectral radius of the adjacency matrix or the signless Laplacian of the graph or its complement. For the existence of Hamiltonian paths or cycles in a graph, we also give a sufficient condition by the signless Laplacian spectral radius.
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.
