Research Article

Asymptotic normality for the count of distinct entries in uniformly random inversion sequences avoiding 010 and 0211

Volume: 3 Number: 2 December 16, 2025

Asymptotic normality for the count of distinct entries in uniformly random inversion sequences avoiding 010 and 0211

Abstract

We study the class of inversion sequences of length 𝑛 that avoid the patterns 010 and 0211, denoted 𝐼𝑛 (010, 0211). We construct an explicit bijection between this class and the set of partitions of [𝑛] := {1, 2, 3, · · · , 𝑛}. This correspondence allows us to interpret natural statistics on 𝐼𝑛 (010, 0211) in terms of classical statistics on set partitions. In particular, we show that the number of distinct entries in an inversion sequence from 𝐼𝑛 (010, 0211) corresponds to the number of blocks in the associated partition of [𝑛]. As a consequence, the distribution of this statistic is governed by Stirling numbers of the second kind, which in turn leads to a central limit theorem for the number of distinct entries in a random element of 𝐼𝑛 (010, 0211).

Keywords

References

  1. Arratia, R., Barbour, A.D., Tavare, S., 2018, Logarithmic combinatorial structures: a probabilistic approach. European Mathematical Society, 10, 142-149. google scholar
  2. Bona, M., 2004, Combinatorics of Permutations, 2nd ed.; Chapman & Hall/CRC: Boca Raton, FL, USA. https://doi.org/10.1201/b12210 google scholar
  3. Corteel, S., Martinez, M.A., Savage, C.D., Weselcouch, M., 2015, Patterns in inversion sequences I. Discrete Mathematics and Theoretical Computer Science, 18 (2). https://doi.org/10.46298/dmtcs.1323 google scholar
  4. de Bruijn, N. G. Asymptotic Methods in Analysis. Dover Publications. google scholar
  5. Harper, L.H., 1967, Stirling behavior is asymptotically normal. Annals of Mathematical Statistics, 38, 410-414. google scholar
  6. Hong, L., Li, R., 2022, Length-four pattern avoidance in inversion sequences. Electronic Journal of Combinatorics, 29 (4). https://doi.org/10.37236/10948 google scholar
  7. Kitaev, S., 2011, Patterns in Permutations and Words. Monographs in Theoretical Computer Science; Springer: Berlin, Germany. https://doi.org/10.1007/978-3-642-17333-2 google scholar
  8. Kotsireas, I., Mansour, T., Yıldırım, G., 2024, An algorithmic approach based on generating trees for enumerating pattern-avoiding inversion sequences. Journal of Symbolic Computation, 120. https://doi.org/10.1016/j.jsc.2023.09.005 google scholar

Details

Primary Language

English

Subjects

Pure Mathematics (Other)

Journal Section

Research Article

Publication Date

December 16, 2025

Submission Date

September 1, 2025

Acceptance Date

December 11, 2025

Published in Issue

Year 2025 Volume: 3 Number: 2

APA
Yıldırım, G. (2025). Asymptotic normality for the count of distinct entries in uniformly random inversion sequences avoiding 010 and 0211. Istanbul Journal of Mathematics, 3(2), 61-65. https://doi.org/10.26650/ijmath.2025.00028
AMA
1.Yıldırım G. Asymptotic normality for the count of distinct entries in uniformly random inversion sequences avoiding 010 and 0211. Istanbul Journal of Mathematics. 2025;3(2):61-65. doi:10.26650/ijmath.2025.00028
Chicago
Yıldırım, Gökhan. 2025. “Asymptotic Normality for the Count of Distinct Entries in Uniformly Random Inversion Sequences Avoiding 010 and 0211”. Istanbul Journal of Mathematics 3 (2): 61-65. https://doi.org/10.26650/ijmath.2025.00028.
EndNote
Yıldırım G (December 1, 2025) Asymptotic normality for the count of distinct entries in uniformly random inversion sequences avoiding 010 and 0211. Istanbul Journal of Mathematics 3 2 61–65.
IEEE
[1]G. Yıldırım, “Asymptotic normality for the count of distinct entries in uniformly random inversion sequences avoiding 010 and 0211”, Istanbul Journal of Mathematics, vol. 3, no. 2, pp. 61–65, Dec. 2025, doi: 10.26650/ijmath.2025.00028.
ISNAD
Yıldırım, Gökhan. “Asymptotic Normality for the Count of Distinct Entries in Uniformly Random Inversion Sequences Avoiding 010 and 0211”. Istanbul Journal of Mathematics 3/2 (December 1, 2025): 61-65. https://doi.org/10.26650/ijmath.2025.00028.
JAMA
1.Yıldırım G. Asymptotic normality for the count of distinct entries in uniformly random inversion sequences avoiding 010 and 0211. Istanbul Journal of Mathematics. 2025;3:61–65.
MLA
Yıldırım, Gökhan. “Asymptotic Normality for the Count of Distinct Entries in Uniformly Random Inversion Sequences Avoiding 010 and 0211”. Istanbul Journal of Mathematics, vol. 3, no. 2, Dec. 2025, pp. 61-65, doi:10.26650/ijmath.2025.00028.
Vancouver
1.Gökhan Yıldırım. Asymptotic normality for the count of distinct entries in uniformly random inversion sequences avoiding 010 and 0211. Istanbul Journal of Mathematics. 2025 Dec. 1;3(2):61-5. doi:10.26650/ijmath.2025.00028