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On the Squared Distance Matrix of a Starlike Block Graph

Published 13 Sep 2025 in math.CO | (2509.10854v1)

Abstract: Let D(G)D(G) be the distance matrix of a simple connected graph GG. The Hadamard product D(G) ∘ D(G)D(G)~\circ~ D(G) is called the squared distance matrix of GG, and is denoted by Δ(G)\Delta(G). A simple connected graph is called a starlike block graph if it has a central cut vertex, and each of its blocks is a complete graph. Let S(n1,n2,…,nb) \mathcal{S}(n_1, n_2, \ldots, n_b) be the starlike block graph with blocks Kn1+1,Kn2+1,…,Knb+1K_{n_1+1}, K_{n_2+1}, \ldots, K_{n_b+1} on n=1+∑i=1<sup>b</sup>nin=1 + \sum_{i=1}<sup>b</sup> n_i vertices. In this article, we compute the determinant of Δ(S(n1,n2,…,nb))\Delta( \mathcal{S}(n_1, n_2, \ldots, n_b)) and find its inverse as a rank-one perturbation of a positive semidefinite Laplacian-like matrix L\mathcal{L} with rank n−1n-1. We also investigate the inertia of Δ(S(n1,n2,…,nb))\Delta( \mathcal{S}(n_1, n_2, \ldots, n_b)). Furthermore, for a fixed value of n n and b b , we determine the extremal graphs that uniquely attain the maximum and minimum spectral radius of the squared distance matrix for starlike block graphs on n n vertices and b b blocks.

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