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Pattern Forcing (0,1)-Matrices

Lei Cao, Shen-Fu Tsai

TL;DR

The paper studies how a fixed $(0,1)$-matrix pattern $Q$ can be forced or strongly forced inside larger $(0,1)$-matrices. It defines two extremal functions, $\mathrm{m}(m,n,Q)$ and $\mathrm{M}(m,n,Q)$, corresponding to the minimum possible number of $1$-entries in a $Q$-forcing matrix and the maximum possible number of $1$-entries in a strongly $Q$-forcing matrix. For $Q$-forcing, it proves the existence and uniqueness of the extremal construction, expresses $\mathrm{m}(m,n,Q)$ via corner functions and the core $Q_{core}$, and connects these to Young diagrams to obtain exact formulas and monotonicity. For strongly $Q$-forcing, it shows $mn-\mathrm{M}(m,n,Q)=O(m+n)$ and determines $\mathrm{M}(n,Q)$ for all $2\times 2$ and $3\times 3$ permutation matrices, identifying dihedral symmetry classes and presenting a conjectural formula for $\mathrm{M}(n,I_k)$ with special cases $k=2,3$ verified. Overall, the work highlights a sharp contrast between forcing and strong forcing and advances the combinatorial theory of pattern embedding in $(0,1)$-matrices.

Abstract

We introduce two related notions of pattern enforcement in $(0,1)$-matrices: $Q$-forcing and strongly $Q$-forcing, which formalize distinct ways a fixed pattern $Q$ must appear within a larger matrix. A matrix is $Q$-forcing if every submatrix can realize $Q$ after turning any number of $1$-entries into $0$-entries, and strongly $Q$-forcing if every $1$-entry belongs to a copy of $Q$. For $Q$-forcing matrices, we establish the existence and uniqueness of extremal constructions minimizing the number of $1$-entries, characterize them using Young diagrams and corner functions, and derive explicit formulas and monotonicity results. For strongly $Q$-forcing matrices, we show that the minimum possible number of $0$-entries of an $m\times n$ strongly $Q$-forcing matrix is always $O(m+n)$, determine the maximum possible number of $1$-entries of an $n\times n$ strongly $P$-forcing matrix for every $2\times2$ and $3\times3$ permutation matrix, and identify symmetry classes with identical extremal behavior. We further propose a conjectural formula for the maximum possible number of $1$-entries of an $n\times n$ strongly $I_k$-forcing matrix, supported by results for $k=2,3$. These findings reveal contrasting extremal structures between forcing and strongly forcing, extending the combinatorial understanding of pattern embedding in $(0,1)$-matrices.

Pattern Forcing (0,1)-Matrices

TL;DR

The paper studies how a fixed -matrix pattern can be forced or strongly forced inside larger -matrices. It defines two extremal functions, and , corresponding to the minimum possible number of -entries in a -forcing matrix and the maximum possible number of -entries in a strongly -forcing matrix. For -forcing, it proves the existence and uniqueness of the extremal construction, expresses via corner functions and the core , and connects these to Young diagrams to obtain exact formulas and monotonicity. For strongly -forcing, it shows and determines for all and permutation matrices, identifying dihedral symmetry classes and presenting a conjectural formula for with special cases verified. Overall, the work highlights a sharp contrast between forcing and strong forcing and advances the combinatorial theory of pattern embedding in -matrices.

Abstract

We introduce two related notions of pattern enforcement in -matrices: -forcing and strongly -forcing, which formalize distinct ways a fixed pattern must appear within a larger matrix. A matrix is -forcing if every submatrix can realize after turning any number of -entries into -entries, and strongly -forcing if every -entry belongs to a copy of . For -forcing matrices, we establish the existence and uniqueness of extremal constructions minimizing the number of -entries, characterize them using Young diagrams and corner functions, and derive explicit formulas and monotonicity results. For strongly -forcing matrices, we show that the minimum possible number of -entries of an strongly -forcing matrix is always , determine the maximum possible number of -entries of an strongly -forcing matrix for every and permutation matrix, and identify symmetry classes with identical extremal behavior. We further propose a conjectural formula for the maximum possible number of -entries of an strongly -forcing matrix, supported by results for . These findings reveal contrasting extremal structures between forcing and strongly forcing, extending the combinatorial understanding of pattern embedding in -matrices.

Paper Structure

This paper contains 4 sections, 17 theorems, 46 equations.

Key Result

Lemma 2.1

Let $Q$ be an $s \times t$$(0,1)$-matrix, and let $m \geq s$, $n \geq t$. There exists a unique $m \times n$$Q$-forcing matrix $A$ with the minimum number of $1$-entries. Moreover, $A$ can be constructed by setting to $1$ every entry that is required to be a $1$-entry in each $s \times t$ submatrix

Theorems & Definitions (38)

  • Definition 1.1
  • Definition 1.2
  • Lemma 2.1
  • proof
  • Corollary 2.2
  • Example 2.3
  • Example 2.4
  • Definition 2.5
  • Example 2.6
  • Theorem 2.7
  • ...and 28 more