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Exact Bounds for Forbidden Configurations and the Extremal Matrices

Richard P. Anstee, Oakley Edens, Arvin Sahami, Jaehwan Seok, Attila Sali

TL;DR

The paper studies exact bounds for forbidding the configuration $F(0,p,1,0)$ in simple $(0,1)$-matrices via a graph-theoretic row framework. It develops a row-graph construction, the What is Missing principle, and a suite of lemmas (Deletion, Upper Bound, Transitivity) to constrain the possible non-constant columns and component structures. A central clique-components analysis shows that extremal matrices decompose into clique-based blocks, enabling precise bounds and complete extremal descriptions for key cases, notably $p=3$ and $p=6$, with tight constructions for several congruence classes of $m$. The methods yield exact or near-exact bounds for all $p\in\{3,4,5,6,7,8,9\}$ and provide a scalable construction scheme that could guide further extensions to larger $p$ in the forbidden-configuration paradigm.

Abstract

Let $F$ be a $k\times \ell$ (0,1)-matrix. A matrix is simple if it is a (0,1)-matrix with no repeated columns. A (0,1)-matrix $A$ is said to have a $F$ as a configuration if there is a submatrix of $A$ which is a row and column permutation of $F$. In the language of sets, a configuration is a trace. Let $\mathrm{Avoid}(m,F)$ be all simple $m$-rowed matrices $A$ with no configuration $F$. Define $\mathrm{forb}(m,F)$ as the maximum number of columns of any matrix in $\mathrm{Avoid}(m,F)$. The $2\times (p+1)$ (0,1)-matrix $F(0,p,1,0)$ consists of a row of $p$ 1's and a row of one 1 in the remaining column. The paper determines $\mathrm{forb}(m,F(0,p,1,0))$ for $1\le p\le 9$ and the extremal matrices are characterized. A construction may be extremal for all $p$.

Exact Bounds for Forbidden Configurations and the Extremal Matrices

TL;DR

The paper studies exact bounds for forbidding the configuration in simple -matrices via a graph-theoretic row framework. It develops a row-graph construction, the What is Missing principle, and a suite of lemmas (Deletion, Upper Bound, Transitivity) to constrain the possible non-constant columns and component structures. A central clique-components analysis shows that extremal matrices decompose into clique-based blocks, enabling precise bounds and complete extremal descriptions for key cases, notably and , with tight constructions for several congruence classes of . The methods yield exact or near-exact bounds for all and provide a scalable construction scheme that could guide further extensions to larger in the forbidden-configuration paradigm.

Abstract

Let be a (0,1)-matrix. A matrix is simple if it is a (0,1)-matrix with no repeated columns. A (0,1)-matrix is said to have a as a configuration if there is a submatrix of which is a row and column permutation of . In the language of sets, a configuration is a trace. Let be all simple -rowed matrices with no configuration . Define as the maximum number of columns of any matrix in . The (0,1)-matrix consists of a row of 1's and a row of one 1 in the remaining column. The paper determines for and the extremal matrices are characterized. A construction may be extremal for all .
Paper Structure (6 sections, 12 theorems, 32 equations)

This paper contains 6 sections, 12 theorems, 32 equations.

Key Result

Theorem 1.1

${\mathrm{forb}}(m,F(0,6,1,0))\le \lfloor\frac{21}{5}m\rfloor+1$ with equality only for $m\equiv 0(\hbox{mod}5)$. Also ${\mathrm{forb}}(m,F(0,6,1,0))= \lfloor\frac{21}{5}m\rfloor$ for $m\equiv 1(\hbox{mod}5)$ and $m\ge 6$.

Theorems & Definitions (16)

  • Theorem 1.1
  • Theorem 1.2
  • Theorem 1.3
  • Theorem 1.4
  • Lemma 2.1
  • Conjecture 2.2
  • Definition 3.1
  • Lemma 3.2
  • Lemma 3.3
  • Lemma 3.4
  • ...and 6 more