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Permutations with Restricted Patterns and Dyck Paths

Permutations with restricted patterns and Dyck paths
Authors: Christian Krattenthaler;

Permutations with Restricted Patterns and Dyck Paths

Abstract

We exhibit a bijection between 132-avoiding permutations and Dyck paths. Using this bijection, it is shown that all the recently discovered results on generating functions for 132-avoiding permutations with a given number of occurrences of the pattern $12... k$ follow directly from old results on the enumeration of Motzkin paths, among which is a continued fraction result due to Flajolet. As a bonus, we use these observations to derive further results and a precise asymptotic estimate for the number of 132-avoiding permutations of $\{1,2,...,n\}$ with exactly $r$ occurrences of the pattern $12... k$. Second, we exhibit a bijection between 123-avoiding permutations and Dyck paths. When combined with a result of Roblet and Viennot, this bijection allows us to express the generating function for 123-avoiding permutations with a given number of occurrences of the pattern $(k-1)(k-2)... 1k$ in form of a continued fraction and to derive further results for these permutations.

17 pages, AmS-TeX

Keywords

132-avoiding permutations, Permutations, words, matrices, Continued fractions and generalizations, Applied Mathematics, Exact enumeration problems, generating functions, Motzkin paths, Dyck paths, continued fraction, Permutations with restricted patterns, FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), Chebyshev polynomials, 05A05 (Primary) 05A15 05A16 (Secondary)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
90
Top 10%
Top 1%
Top 10%
Green
hybrid