English

Adjacency Matrices of Configuration Graphs

Combinatorics 2015-01-13 v1

Abstract

In 1960, Hoffman and Singleton \cite{HS60} solved a celebrated equation for square matrices of order nn, which can be written as (κ1)In+JnAAT=A (\kappa - 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 κ\kappa, respectively. If AA is an incidence matrix of some configuration C\cal C of type nκn_\kappa, then the left-hand side Θ(A):=(κ1)In+JnAAT\Theta(A):= (\kappa - 1)I_n + J_n - A A^{\rm T} is an adjacency matrix of the non--collinearity graph Γ\Gamma of C\cal C. In certain situations, Θ(A)\Theta(A) is also an incidence matrix of some nκn_\kappa configuration, namely the neighbourhood geometry of Γ\Gamma introduced by Lef\`evre-Percsy, Percsy, and Leemans \cite{LPPL}. The matrix operator Θ\Theta can be reiterated and we pose the problem of solving the generalised Hoffman--Singleton equation Θm(A)=A\Theta^m(A)=A. In particular, we classify all (0,1)(0,1)--matrices MM with all row and column sums equal to κ\kappa, for κ=3,4\kappa = 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}.

Cite

@article{arxiv.1002.1032,
  title  = {Adjacency Matrices of Configuration Graphs},
  author = {M. Abreu and M. Funk and D. Labbate and V. Napolitano},
  journal= {arXiv preprint arXiv:1002.1032},
  year   = {2015}
}
R2 v1 2026-06-21T14:43:28.771Z