This analysis reveals a binomial distribution of nodal counts in signed graphs with disjoint cycles, implying Gaussian-like behavior.
A recent conjecture, inspired by quantum chaos and the Bogomolny–Schmit conjecture, suggests that the nodal count of operators on signed graphs exhibits a universal Gaussian-like behavior. We establish this result for the family of graphs composed of disjoint cycles, which serves as a natural starting point by analogy with quantum graphs. Let G be a simple, connected graph with disjoint cycles , and let h be a real symmetric matrix supported on G (e.g., a discrete Schrödinger operator) that satisfies a certain generic condition . The nodal count ν(h, k) is defined as the number of edges (i, j) where the k -th eigenvector φ changes sign with respect to h , i.e., hᵢⱼφᵢ φⱼ > 0 . We consider the distribution of nodal counts ν(h',k) over random signings h' of h , obtained by changing the sign of some off-diagonal elements. We prove, for each k that σ(h',k) = ν(h',k) - (k-1) has a binomial distribution Bin(β, 1/2) , where β is the first Betti number of G . Consequently, the conjecture is validated for graphs with disjoint cycles.
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Alon et al. (2025) studied this question.
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