Better upper bounds on the F\"uredi-Hajnal limits of permutations
Josef Cibulka, Jan Kyn\v{c}l

TL;DR
This paper improves upper bounds on the F"uredi-Hajnal limits for permutation matrices, providing tighter asymptotic bounds for random and all permutation matrices, and extends results to higher-dimensional cases.
Contribution
It establishes new upper bounds on the F"uredi-Hajnal constants for permutation matrices, including random and worst-case scenarios, and generalizes the problem to higher dimensions.
Findings
For random k-permutation matrices, c_P 2^{O(k^{2/3} ext{log}^{7/3}k / ( ext{log} ext{log}k)^{1/3})}.
For all k-permutation matrices, c_P 2^{(4+o(1))k}.
Upper bounds on c_P in terms of Stanley-Wilf limit s_P: c_P O(s_P^{2.75} ext{log} s_P).
Abstract
A binary matrix is a matrix with entries from the set . We say that a binary matrix contains a binary matrix if can be obtained from by removal of some rows, some columns, and changing some -entries to -entries. If does not contain , we say that avoids . A -permutation matrix is a binary matrix with exactly one -entry in every row and one -entry in every column. The F\"uredi-Hajnal conjecture, proved by Marcus and Tardos, states that for every permutation matrix , there is a constant such that for every , every binary matrix with at least -entries contains . We show that asymptotically almost surely for a random -permutation matrix . We also show that for every…
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Taxonomy
TopicsBayesian Methods and Mixture Models · Random Matrices and Applications · Advanced Combinatorial Mathematics
