Higher incidence matrices and tactical decomposition matrices

Fuente: arXiv
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Hauptverfasser: Kiermaier, Michael, Wassermann, Alfred
Format: Preprint
Veröffentlicht: 2023
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author Kiermaier, Michael
Wassermann, Alfred
author_facet Kiermaier, Michael
Wassermann, Alfred
contents In 1985, Janko and Tran Van Trung published an algorithm for constructing symmetric designs with prescribed automorphisms. This algorithm is based on the equations by Dembowski (1958) for tactical decompositions of point-block incidence matrices. In the sequel, the algorithm has been generalized and improved in many articles. In parallel, higher incidence matrices have been introduced by Wilson in 1982. They have proven useful for obtaining several restrictions on the existence of designs. For example, a short proof of the generalized Fisher's inequality makes use of these incidence matrices. In this paper, we introduce a unified approach to tactical decompositions and incidence matrices. It works for both combinatorial and subspace designs alike. As a result, we obtain a generalized Fisher's inequality for tactical decompositions of combinatorial and subspace designs. Moreover, our approach is explored for the construction of combinatorial and subspace designs of arbitrary strength.
format Preprint
id arxiv_https___arxiv_org_abs_2303_11014
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Higher incidence matrices and tactical decomposition matrices
Kiermaier, Michael
Wassermann, Alfred
Combinatorics
In 1985, Janko and Tran Van Trung published an algorithm for constructing symmetric designs with prescribed automorphisms. This algorithm is based on the equations by Dembowski (1958) for tactical decompositions of point-block incidence matrices. In the sequel, the algorithm has been generalized and improved in many articles. In parallel, higher incidence matrices have been introduced by Wilson in 1982. They have proven useful for obtaining several restrictions on the existence of designs. For example, a short proof of the generalized Fisher's inequality makes use of these incidence matrices. In this paper, we introduce a unified approach to tactical decompositions and incidence matrices. It works for both combinatorial and subspace designs alike. As a result, we obtain a generalized Fisher's inequality for tactical decompositions of combinatorial and subspace designs. Moreover, our approach is explored for the construction of combinatorial and subspace designs of arbitrary strength.
title Higher incidence matrices and tactical decomposition matrices
topic Combinatorics
url https://arxiv.org/abs/2303.11014