Tight bounds on the maximum size of a set of permutations with bounded VC-dimension
Josef Cibulka, Jan Kyncl

TL;DR
This paper establishes tight bounds on the maximum size of permutation sets with bounded VC-dimension, revealing exponential growth rates and structural properties of such sets and related matrices.
Contribution
It provides new asymptotic bounds for r_k(n) and p_k(n) for k=3 and s≥4, advancing understanding of permutation families with bounded VC-dimension.
Findings
r_3(n) = 2^{Theta(n log alpha(n))}
p_3(n) = Theta(n alpha(n))
Bounds on matrix entries and partitioning related to VC-dimension constraints
Abstract
The VC-dimension of a family P of n-permutations is the largest integer k such that the set of restrictions of the permutations in P on some k-tuple of positions is the set of all k! permutation patterns. Let r_k(n) be the maximum size of a set of n-permutations with VC-dimension k. Raz showed that r_2(n) grows exponentially in n. We show that r_3(n)=2^Theta(n log(alpha(n))) and for every s >= 4, we have almost tight upper and lower bounds of the form 2^{n poly(alpha(n))}. We also study the maximum number p_k(n) of 1-entries in an n x n (0,1)-matrix with no (k+1)-tuple of columns containing all (k+1)-permutation matrices. We determine that p_3(n) = Theta(n alpha(n)) and that p_s(n) can be bounded by functions of the form n 2^poly(alpha(n)) for every fixed s >= 4. We also show that for every positive s there is a slowly growing function zeta_s(m) (of the form 2^poly(alpha(m)) for every…
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