The number of cycles in random permutations without long cycles is asymptotically Gaussian
Volker Betz, Helge Sch\"afer

TL;DR
This paper proves that the total number of cycles in uniform random permutations without long cycles follows a Gaussian distribution asymptotically, and provides detailed asymptotic expansions for its mean and variance.
Contribution
It establishes a central limit theorem for permutations with restricted cycle lengths and derives asymptotic formulas for their statistical parameters.
Findings
Number of cycles is asymptotically Gaussian.
Asymptotic expansions for mean and variance are derived.
Results depend on the set of allowed cycle lengths.
Abstract
For uniform random permutations conditioned to have no long cycles, we prove that the total number of cycles satisfies a central limit theorem. Under additional assumptions on the asymptotic behavior of the set of allowed cycle lengths, we derive asymptotic expansions for the corresponding expected value and variance.
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.
