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Conic programming to understand sums of squares of eigenvalues of graphs
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abstract
In this paper we prove a conjecture by Wocjan, Elphick and Anekstein (2018) which upper bounds the sum of the squares of the positive (or negative) eigenvalues of the adjacency matrix of a graph by an expression that behaves monotonically in terms of the vector chromatic number. One of our lemmas is a strengthening of the Cauchy-Schwarz inequality for Hermitian matrices when one of the matrices is positive semidefinite. A related conjecture due to Bollob\'as and Nikiforov (2007) replaces the vector chromatic number by the clique number and sums over the first two eigenvalues only. We prove a version of this conjecture with weaker constants. An important consequence of our work is a proof that for any fixed $r$, computing a rank $r$ optimum solution to the vector chromatic number semidefinite programming is NP-hard. We also present a vertex weighted version of some of our results, and we show how it leads quite naturally to the known vertex-weighted version of the Motzkin-Straus quadratic optimization formulation for the clique number.
Forward citations
Cited by 4 Pith papers
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A positive square-energy strengthening of Tur\'an's theorem
Every n-vertex graph with clique number ω has √s⁺(G) ≤ (1−1/ω)n, where s⁺(G) is the sum of squared positive adjacency eigenvalues.
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The positive and negative square-energy conjecture
Every connected graph G on n vertices satisfies min{s+(G), s−(G)} ≥ n−1, confirming the Elphick–Farber–Goldberg–Wocjan conjecture.
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Refinement of a conjecture on positive square energy of graphs
For connected claw-free graphs with maximum degree at least 3 and for diameter-2 graphs other than stars and C5, the positive square energy is at least the number of vertices.
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A graph energy conjecture through the lenses of semidefinite programming
New SDP-based bounds relate graph energy to the fractional clique cover number, Hoffman's ratio number, and Schrijver's theta number, supporting a 40-year-old conjecture without proving it.
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