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PreprintCC BY 4.0arXiv

Short permutation pattern waves: The complete length-five classification

Abstract

For a permutation pi in Sk, a pi-wave is an increasing sequence of integers whose consecutive gaps have relative order pi. Let g(pi, n) be the maximum cardinality of a pi-wave-free subset of [n], and let P(pi, r) be the least integer N such that every r-coloring of [N] contains a monochromatic pi-wave. We determine the asymptotic orders of both functions for every permutation of length at most five. Existing upper bounds and weak-wave constructions provide sharp bounds for all but eight length-five patterns in S_5. For these eight exceptional alternating patterns, we establish g(pi, n) = Theta((log n)squared) and P(pi, r) = Theta(r(log r)squared).

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BibTeX
@misc{qiu2026short,
  title = {{Short permutation pattern waves: The complete length-five classification}},
  author = {Lihong Qiu and Minglei Mao and Yaping Mao},
  howpublished = {arXiv},
  year = {2026},
  month = nov,
  doi = {10.48550/arxiv.2611.04184},
  eprint = {2611.04184},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2611.04184},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Short permutation pattern waves: The complete length-five classification
AU  - Lihong Qiu
AU  - Minglei Mao
AU  - Yaping Mao
PY  - 2026
DA  - 2026/11/03
PB  - arXiv
DO  - 10.48550/arxiv.2611.04184
UR  - https://arxiv.org/abs/2611.04184
AB  - For a permutation pi in Sk, a pi-wave is an increasing sequence of integers whose consecutive gaps have relative order pi. Let g(pi, n) be the maximum cardinality of a pi-wave-free subset of [n], and let P(pi, r) be the least integer N such that every r-coloring of [N] contains a monochromatic pi-wave. We determine the asymptotic orders of both functions for every permutation of length at most five. Existing upper bounds and weak-wave constructions provide sharp bounds for all but eight length-five patterns in S_5. For these eight exceptional alternating patterns, we establish g(pi, n) = Theta((log n)squared) and P(pi, r) = Theta(r(log r)squared).
ER  -