
arXiv: 1210.6908
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.
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
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
| 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). | 0 | |
| 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. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
