The maximum multiplicity of an eigenvalue of symmetric matrices with a given graph
Keivan Hassani Monfared, Sudipta Mallik

TL;DR
This paper introduces two combinatorial parameters, T^-(G) and T^+(G), that precisely bound the maximum eigenvalue multiplicity of symmetric matrices associated with a graph G, enhancing understanding of spectral graph properties.
Contribution
The paper defines and proves the sharpness of two new graph parameters, T^-(G) and T^+(G), that bound the maximum eigenvalue multiplicity for symmetric matrices with a given graph pattern.
Findings
T^-(G) provides a lower bound for M(G).
T^+(G) provides an upper bound for M(G).
Bounds are shown to be sharp.
Abstract
For a graph G, M(G) denotes the maximum multiplicity occurring of an eigenvalue of a symmetric matrix whose zero-nonzero pattern is given by edges of G. We introduce two combinatorial graph parameters T^-(G) and T^+(G) that give a lower and an upper bound for M(G) respectively, and we show that these bounds are sharp.
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
TopicsMatrix Theory and Algorithms · Graph theory and applications · graph theory and CDMA systems
