An approximate version of Brouwer's Laplacian conjecture
Alan Lew

TL;DR
This paper provides approximate bounds on the eigenvalues of a graph's Laplacian matrix, improving known bounds and addressing conjectures related to Brouwer's Laplacian conjecture and token graphs.
Contribution
It introduces new bounds on Laplacian eigenvalues that approximate Brouwer's conjecture and extends to signless Laplacians and token graphs.
Findings
Bound on b5_k(G) q max_{UV, |U|=k} |E_G(U)| + (4k-2)sqrt{k}
Improved bounds for large k, inom{k}{2} + (4k-2)sqrt{k}
Bound on the largest Laplacian eigenvalue of token graphs by |E| + 4k - 2
Abstract
Let be an -vertex graph, its Laplacian matrix, and let denote its eigenvalues. For , let . We show that for every , \[ \varepsilon_k(G) \le \max_{U\subset V,\, |U|=k} |E_G(U)| + (4k-2)\sqrt{k}, \] where is the set of edges of contained in . As an immediate consequence, we obtain that . This improves upon previously known bounds for large values of , and may be seen as an approximate version of a conjecture of Brouwer, stating that for every graph . Moreover, for every , if is a -free graph, we obtain that , which is…
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
TopicsGraph theory and applications · Matrix Theory and Algorithms · Markov Chains and Monte Carlo Methods
