Avoiding patterns in matrices via a small number of changes

preprint2016arXivOpen access

Abstract

Let A={A1,…,Ar}{\cal A}=\{A_1,\ldots, A_r\} be a partition of a set {1,…,m}×{1,…,n}\{1,\ldots,m\}\times\{1,\ldots, n\} into rr nonempty subsets, and A=(aij)A=(a_{ij}) be an m×nm\times n matrix. We say that AA has a pattern A{\cal A} provided that aij=ai′j′a_{ij}=a_{i'j'} if and only if (i,j),(i′,j′)∈At(i,j),(i',j')\in A_t for some t∈{1,…,r}t\in\{1,\ldots,r\}. In this note we study the following function ff defined on the set of all m×nm\times n matrices MM with ss distinct entries: f(M;A)f(M; {\cal A}) is the smallest number of positions where the entries of MM need to be changed such that the resulting matrix does not have any submatrix with pattern A{\cal A}. We give an asymptotically tight value for $$ f(m,n; s, {\cal A}) = \max\{f(M; {\cal A}): M \mbox{ is an } m\times n\mbox{ matrix with at most } s \mbox{ distinct entries}\} . $$

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