Two conjectures in spectral graph theory involving the linear combinations of graph eigenvalues
Lele Liu

TL;DR
This paper proves two conjectures in spectral graph theory involving eigenvalues and eigenvalue combinations, identifying extremal graphs for large n using analytic methods.
Contribution
It resolves two longstanding conjectures in spectral extremal graph theory for large graphs, one about maximizing eigenvalue sums and the other about the maximum Q-spread.
Findings
The extremal graph for maximizing λ₁(G)+λ₁(Ḡ) is a join of a clique and an independent set.
The maximum Q-spread for large n is achieved by a graph with a pendant edge attached to a complete graph.
Both conjectures are confirmed for sufficiently large n.
Abstract
We prove two conjectures in spectral extremal graph theory involving the linear combinations of graph eigenvalues. Let be the largest eigenvalue of the adjacency matrix of a graph , and be the complement of . A nice conjecture states that the graph on vertices maximizing is the join of a clique and an independent set, with and (also and if ) vertices, respectively. We resolve this conjecture for sufficiently large using analytic methods. Our second result concerns the -spread of a graph , which is defined as the difference between the largest eigenvalue and least eigenvalue of the signless Laplacian of . It was conjectured by Cvetkovi\'c, Rowlinson and Simi\'c in that the unique…
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Taxonomy
TopicsGraph theory and applications · Magnetism in coordination complexes · Spectral Theory in Mathematical Physics
