2020
DOI: 10.1002/rsa.20956
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Characterization of quasirandom permutations by a pattern sum

Abstract: It is known that a sequence {Π i } i∈N of permutations is quasirandom if and only if the pattern density of every 4-point permutation in Π i converges to 1∕24. We show that there is a set S of 4-point permutations such that the sum of the pattern densities of the permutations from S in the permutations Π i converges to |S|∕24 if and only if the sequence is quasirandom. Moreover, we are able to completely characterize the sets S with this property. In particular, there are exactly ten such sets, the smallest of… Show more

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Cited by 14 publications
(27 citation statements)
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“…Lemma 15. There are no three permutations π 1 , π 2 , π 3 and non-zero real coefficients t 1 , t 2 , t 3 such that max i∈[m] {|π i |} > 3 and i∈ [3] t i P π i = 0.…”
Section: Sets Of Linearly Dependent Polynomialsmentioning
confidence: 99%
See 4 more Smart Citations
“…Lemma 15. There are no three permutations π 1 , π 2 , π 3 and non-zero real coefficients t 1 , t 2 , t 3 such that max i∈[m] {|π i |} > 3 and i∈ [3] t i P π i = 0.…”
Section: Sets Of Linearly Dependent Polynomialsmentioning
confidence: 99%
“…Recall the definition of mirror gradient polynomials P π (α, β) = P π (1 − α, β). Note that whenever the equality i∈ [3] t i P π i = 0, (8) holds, it also holds that i∈ [3] t i P π i = 0.…”
Section: Sets Of Linearly Dependent Polynomialsmentioning
confidence: 99%
See 3 more Smart Citations