Spectral symmetry in conference matrices

preprint2021arXivOpen access

Abstract

A conference matrix of order nn is an n×nn\times n matrix CC with diagonal entries 00 and off-diagonal entries ±1\pm 1 satisfying CC⊤=(n−1)ICC^\top=(n-1)I. If CC is symmetric, then CC has a symmetric spectrum ΣΣ (that is, Σ=−ΣΣ=-Σ) and eigenvalues ±n−1\pm\sqrt{n-1}. We show that many principal submatrices of CC also have symmetric spectrum, which leads to examples of Seidel matrices of graphs (or, equivalently, adjacency matrices of complete signed graphs) with a symmetric spectrum. In addition, we show that some Seidel matrices with symmetric spectrum can be characterized by this construction.

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