The Asymptotic Distribution of the Rank for Unimodal Sequences
Kathrin Bringmann, Chris Jennings-Shaffer, Karl Mahlburg

TL;DR
This paper investigates the asymptotic distribution of the rank statistic for unimodal sequences, showing it converges to a logistic distribution after normalization, with extensions to related sequence types.
Contribution
It provides new asymptotic formulas for the moments of the unimodal rank and establishes its limiting distribution, including special cases like semistrict sequences.
Findings
Normalized unimodal rank follows a logistic distribution asymptotically
Derived asymptotic formulas for moments of the rank
Identified distributional limits for different unimodal sequence types
Abstract
We study the asymptotic behavior of the rank statistic for unimodal sequences. We use analytic techniques involving asymptotic expansions in order to prove asymptotic formulas for the moments of the rank. Furthermore, when appropriately normalized, the values of the unimodal rank asymptotically follow a logistic distribution. We also prove similar results for Durfee unimodal sequences and semi-strict unimodal sequences, with the only major difference being that the (normalized) rank for semistrict unimodal sequences has a distributional limit of a point mass probability distribution.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
