Adjacency Matrices of Configuration Graphs

TL;DR

This paper explores the properties of adjacency matrices of configuration graphs, classifies solutions to a generalized Hoffman–Singleton equation for specific parameters, and characterizes certain incidence matrices in combinatorial configurations.

Contribution

It introduces a classification of matrices satisfying the generalized Hoffman–Singleton equation for =3,4, and characterizes incidence matrices of specific combinatorial configurations.

Findings

Classified solutions to a=3,4 for the equation a^m(A)=A.

Characterized incidence matrices of the a_3F configuration.

Identified incidence matrices of the a_4 configuration a1971.

Abstract

In 1960, Hoffman and Singleton \cite{HS60} solved a celebrated equation for square matrices of order $n$, which can be written as $$ (\kappa - 1) I_n + J_n - A A^{\rm T} = A$$ where $I_n$, $J_n$, and $A$ are the identity matrix, the all one matrix, and a $(0,1)$--matrix with all row and column sums equal to $\kappa$, respectively. If $A$ is an incidence matrix of some configuration $\cal C$ of type $n_\kappa$, then the left-hand side $\Theta(A):= (\kappa - 1)I_n + J_n - A A^{\rm T}$ is an adjacency matrix of the non--collinearity graph $\Gamma$ of $\cal C$. In certain situations, $\Theta(A)$ is also an incidence matrix of some $n_\kappa$ configuration, namely the neighbourhood geometry of $\Gamma$ introduced by Lef\`evre-Percsy, Percsy, and Leemans \cite{LPPL}. The matrix operator $\Theta$ can be reiterated and we pose the problem of solving the generalised Hoffman--Singleton equation $\Theta^m(A)=A$. In particular, we classify all $(0,1)$--matrices $M$ with all row and column sums equal to $\kappa$, for $\kappa = 3,4$, which are solutions of this equation. As a by--product, we obtain characterisations for incidence matrices of the configuration $10_3F$ in Kantor's list \cite{Kantor} and the $17_4$ configuration $#1971$ in Betten and Betten's list \cite{BB99}.