English

Clusters, generating functions and asymptotics for consecutive patterns in permutations

Combinatorics 2012-10-24 v1

Abstract

We use the cluster method to enumerate permutations avoiding consecutive patterns. We reprove and generalize in a unified way several known results and obtain new ones, including some patterns of length 4 and 5, as well as some infinite families of patterns of a given shape. By enumerating linear extensions of certain posets, we find a differential equation satisfied by the inverse of the exponential generating function counting occurrences of the pattern. We prove that for a large class of patterns, this inverse is always an entire function. We also complete the classification of consecutive patterns of length up to 6 into equivalence classes, proving a conjecture of Nakamura. Finally, we show that the monotone pattern asymptotically dominates (in the sense that it is easiest to avoid) all non-overlapping patterns of the same length, thus proving a conjecture of Elizalde and Noy for a positive fraction of all patterns.

Keywords

Cite

@article{arxiv.1210.6061,
  title  = {Clusters, generating functions and asymptotics for consecutive patterns in permutations},
  author = {Sergi Elizalde and Marc Noy},
  journal= {arXiv preprint arXiv:1210.6061},
  year   = {2012}
}
R2 v1 2026-06-21T22:26:06.388Z