Central limit conjecture for descents after stack-sorting
For each , let be the number of descents of the stack-sorted image of a uniformly random permutation in , and define
Central limit conjecture. The sequence converges in distribution to a random variable such that
The conjecture is motivated by the computed asymptotics of the first six central moments, which agree with those of an asymptotically normal distribution; its resolution is not given in the source.
References
Primary source
Colin Defant, “Troupes, Cumulants, and Stack-Sorting”, arXiv:2004.11367 (2022).
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