Adjacency Matrices of Configuration Graphs

preprint2010arXivOpen access

Abstract

In 1960, Hoffman and Singleton \cite{HS60} solved a celebrated equation for square matrices of order nn, which can be written as (κ−1)In+Jn−AAT=A (κ- 1) I_n + J_n - A A^{\rm T} = A where InI_n, JnJ_n, and AA are the identity matrix, the all one matrix, and a (0,1)(0,1)--matrix with all row and column sums equal to κκ, respectively. If AA is an incidence matrix of some configuration C\cal C of type nκn_κ, then the left-hand side Θ(A):=(κ−1)In+Jn−AATΘ(A):= (κ- 1)I_n + J_n - A A^{\rm T} is an adjacency matrix of the non--collinearity graph ΓΓ of C\cal C. In certain situations, Θ(A)Θ(A) is also an incidence matrix of some nκn_κ configuration, namely the neighbourhood geometry of ΓΓ introduced by Lefèvre-Percsy, Percsy, and Leemans \cite{LPPL}. The matrix operator ΘΘ can be reiterated and we pose the problem of solving the generalised Hoffman--Singleton equation Θm(A)=AΘ^m(A)=A. In particular, we classify all (0,1)(0,1)--matrices MM with all row and column sums equal to κκ, for κ=3,4κ= 3,4, which are solutions of this equation. As a by--product, we obtain characterisations for incidence matrices of the configuration 103F10_3F in Kantor's list \cite{Kantor} and the 17417_4 configuration $#1971$ in Betten and Betten's list \cite{BB99}.

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