Design Theory and Some Non-simple Forbidden Configurations
R.P. Anstee, Farzin Barekat

TL;DR
This paper investigates the maximum size of certain structured matrices avoiding specific subconfigurations, establishing bounds linked to combinatorial designs and extending known results for large matrix dimensions.
Contribution
It provides exact bounds for the maximum columns in matrices avoiding particular configurations, connecting these bounds to the existence of combinatorial 2-designs.
Findings
Exact bounds for forb(m,q.(1_1 0_1))
Exact bounds for forb(m,q.(1_2 0_1))
Exact bounds for forb(m,q.(1_2 0_2))
Abstract
Let 1_k 0_l denote the (k+l)\times 1 column of k 1's above l 0's. Let q. (1_k 0_l) $ denote the (k+l)xq matrix with q copies of the column 1_k0_l. A 2-design S_{\lambda}(2,3,v) can be defined as a vx(\lambda/3)\binom{v}{2} (0,1)-matrix with all column sums equal 3 and with no submatrix (\lambda+1).(1_20_0). Consider an mxn matrix A with all column sums in {3,4,... ,m-1}. Assume m is sufficiently large (with respect to \lambda) and assume that A has no submatrix which is a row permutation of (\lambda+1). (1_2 0_1). Then we show the number of columns in A is at most (\lambda)/3)\binom{m}{3} with equality for A being the columns of column sum 3 corresponding to the triples of a 2-design S_{\lambda}(2,3,m). A similar results holds for(\lambda+1). (1_2 0_2). Define a matrix to be simple if it is a (0,1)-matrix with no repeated columns. Given two matrices A, F, we define A to have F as a…
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Taxonomy
Topicsgraph theory and CDMA systems · Algorithms and Data Compression · Limits and Structures in Graph Theory
