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Discrete Mathematics
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Discrete Mathematics
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On the sub-permutations of pattern avoiding permutations

Authors: Filippo Disanto; Thomas Wiehe;

On the sub-permutations of pattern avoiding permutations

Abstract

There is a deep connection between permutations and trees. Certain sub-structures of permutations, called sub-permutations, bijectively map to sub-trees of binary increasing trees. This opens a powerful tool set to study enumerative and probabilistic properties of sub-permutations and to investigate the relationships between 'local' and 'global' features using the concept of pattern avoidance. First, given a pattern μ, we study how the avoidance of μ in a permutation π affects the presence of other patterns in the sub-permutations of π. More precisely, considering patterns of length 3, we solve instances of the following problem: given a class of permutations K and a pattern μ, we ask for the number of permutations $π\in Av_n(μ)$ whose sub-permutations in K satisfy certain additional constraints on their size. Second, we study the probability for a generic pattern to be contained in a random permutation π of size n without being present in the sub-permutations of π generated by the entry $1 \leq k \leq n$. These theoretical results can be useful to define efficient randomized pattern-search procedures based on classical algorithms of pattern-recognition, while the general problem of pattern-search is NP-complete.

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Keywords

FOS: Computer and information sciences, Permutations, words, matrices, Discrete Mathematics (cs.DM), Analysis of algorithms and problem complexity, pattern-search, sub-permutation, Trees, pattern avoidance, FOS: Mathematics, Mathematics - Combinatorics, binary increasing trees, Combinatorics (math.CO), Computer Science - Discrete Mathematics

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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!
0
Average
Average
Average
Green
hybrid