English

Sorting probability for large Young diagrams

Combinatorics 2021-11-30 v2 Probability

Abstract

For a finite poset P=(X,)P=(X,\prec), let LP\mathcal{L}_P denote the set of linear extensions of PP. The sorting probability δ(P)\delta(P) is defined as δ(P):=minx,yXP[L(x)L(y)]  P[L(y)L(x)],\delta(P) \, := \, \min_{x,y\in X} \, \bigl| \mathbf{P} \, [L(x)\leq L(y) ] \ - \ \mathbf{P} \, [L(y)\leq L(x) ] \bigr|\,, where LLPL \in \mathcal{L}_P is a uniform linear extension of PP. We give asymptotic upper bounds on sorting probabilities for posets associated with large Young diagrams and large skew Young diagrams, with bounded number of rows.

Keywords

Cite

@article{arxiv.2005.08390,
  title  = {Sorting probability for large Young diagrams},
  author = {Swee Hong Chan and Igor Pak and Greta Panova},
  journal= {arXiv preprint arXiv:2005.08390},
  year   = {2021}
}

Comments

57 pages, 5 pages

R2 v1 2026-06-23T15:36:40.406Z