A zero forcing technique for bounding sums of eigenvalue multiplicities
Franklin H.j. Kenter, Jephian C.-H. Lin

TL;DR
This paper introduces zero forcing techniques to bound sums of eigenvalue multiplicities in graphs, advancing understanding of the inverse eigenvalue problem and applying to both symmetric and skew-symmetric matrices.
Contribution
It develops zero forcing methods for the ordered multiplicity inverse eigenvalue problem, providing new bounds and applying them to graphs and skew-symmetric matrices.
Findings
Bounded sums of eigenvalue multiplicities for various graph classes
Verified previous results for six-vertex graphs
Determined all possible multiplicity lists for skew-symmetric matrices on five vertices
Abstract
Given a graph , one may ask: "What sets of eigenvalues are possible over all weighted adjacency matrices of ?" (The weight of an edge is positive or negative, while the diagonal entries can be any real numbers.) This is known as the Inverse Eigenvalue Problem for graphs (IEP-). A mild relaxation of this question considers the multiplicity list instead of the exact eigenvalues themselves. That is, given a graph on vertices and an ordered partition of , is there a weighted adjacency matrix where the -th distinct eigenvalue has multiplicity ? This is known as the ordered multiplicity IEP-. Recent work solved the ordered multiplicity IEP- for all graphs on 6 vertices. In this work, we develop zero forcing methods for the ordered multiplicity IEP- in a multitude of different contexts. Namely, we utilize zero forcing…
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