English

Constructing, Classifying and Studying the Space of Small Integer Weighing Matrices

Combinatorics 2026-03-19 v1

Abstract

Integer weighing matrices (IW-matrices for short) are integer valued orthogonal square matrices. One usecase of these is to create classical weighing matrices with various block structures. In this paper we study and classify the space IW(n,k)IW(n,k) of the integer weighing matrices of small size n×nn\times n and weight kk. Our classification includes a full list of all inequivalent matrices up to Hadamard equivalence and automorphism groups. We then continue to a secondary classification of the symmetric and antisymmetric IW up to symmetric Hadamard equivalence. We apply this to the case of projective space weighing matrices. Next we use the classification to count the cardinality of the spaces of all IW(n,k)IW(n,k) as well as the symmetric and anti-symmetric subspace. We supply practical algorithms and implement them in \texttt{Sagemath}. Finding an (anti-)symmetric IW matrix in a given Hadamard class can be done for significantly higher orders. In particular we solve some open cases: Symmetric W(23,16)W(23,16), W(28,25)W(28,25) and W(30,17)W(30,17), and an anti-symmetric W(28,25)W(28,25). We conclude by showing a detailed classification of IW(7,25)IW(7,25). We have also improved the \texttt{NSOKS} algorithm to find all possible representations of an integer kk as a sum of nn integer squares.

Keywords

Cite

@article{arxiv.2603.17552,
  title  = {Constructing, Classifying and Studying the Space of Small Integer Weighing Matrices},
  author = {Assaf Goldberger and Radel Ben-Av and Giora Dula and Yoseph Strassler},
  journal= {arXiv preprint arXiv:2603.17552},
  year   = {2026}
}

Comments

34 pages, the repository is in https://github.com/assafg-dev/Classification-of-IW-matrices

R2 v1 2026-07-01T11:25:51.502Z