A geometric approach to conjugation-invariant random permutations
成果类型:
Article
署名作者:
Dubach, Victor
署名单位:
Uppsala University
刊物名称:
PROBABILITY THEORY AND RELATED FIELDS
ISSN/ISSBN:
0178-8051; 1432-2064
DOI:
10.1007/s00440-025-01449-7
发表日期:
2026-02
页码:
245-298
关键词:
Random permutations
Conjugation-invariance
Longest increasing subsequences
Robinson-Schensted correspondence
records
patterns
LONGEST INCREASING SUBSEQUENCE
central-limit-theorem
plancherel measure
random partitions
large deviations
random-variables
statistics
number
sums
摘要:
We propose a new approach to conjugation-invariant random permutations. Namely, we explain how to construct uniform permutations in given conjugacy classes from certain point processes in the plane. This enables the use of geometric tools to study various statistics of such permutations. For their longest decreasing subsequences, we prove universality of the 2n\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$2\sqrt{n}$$\end{document} asymptotic. For Robinson-Schensted shapes, we prove universality of the Vershik-Kerov-Logan-Shepp limit shape, thus solving a conjecture of Kammoun. For the number of records, we establish a phase transition phenomenon as the number of fixed points grows. For pattern counts, we obtain an asymptotic normality result, partially answering a conjecture of Hamaker and Rhoades.
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