Bounding the multiplicities of eigenvalues of graph matrices in terms of circuit rank using a new approach

Abstract

Let G be a simple undirected graph, θ(G) be the circuit rank of G, ηM(G) and mM(G,λ) be the nullity and the multiplicity of eigenvalue λ of a graph matrix M(G), respectively. In the case M(G) is the adjacency matrix A(G), (the Laplacian matrix L(G), the signless Laplacian matrix Q(G)) we find bounds to mM(G,λ) in terms of θ(G) when λ is an integer (even integer, respectively). We also show that when α and λ are rational numbers similar bounds can be found for mAα(G,λ) where Aα(G) is the generalized adjaceny matrix of G. Our bounds contain only θ(G), not a multiple of it. Up to now only bounds of mA(G,λ) (and later mAα(G,λ)) have been found in terms of the circuit rank and all of them contains 2θ(G). There is only one exception in the case λ=0. Wong et al. (2022) showed that ηA(Gc)≤ θ(Gc)+1, where Gc is a connected cactus whose blocks are even cycles. Our result, in particular, generalizes and extends this result to the multiplicity of any even eigenvalue of A(G) of any even connected graph G, and of any even eigenvalue of L(G) and Q(G) of any connected graph G. They also showed that ηA(Gc)≤ 1 when every block of the cactus is an odd cycle. This also corresponds a special case of our bound.

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