Limit Theorems for Fixed Point Biased Pattern Avoiding Involutions

Fuente: arXiv
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Main Authors: Park, Jungeun, Rizzolo, Douglas
Format: Preprint
Published: 2025
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author Park, Jungeun
Rizzolo, Douglas
author_facet Park, Jungeun
Rizzolo, Douglas
contents We study fixed point biased involutions that avoid a pattern. For every pattern of length three we obtain limit theorems for the asymptotic distribution of the (appropriately centered and scaled) number of fixed points of a random fixed point biased involution avoiding that pattern. When the pattern being avoided is either $321$, $132$, or $213$, we find a phase transition depending on the strength of the bias. We also obtain a limit theorem for distribution of fixed points when the pattern is $123\cdots k(k+1)$ for any $k$ and partial results when the pattern is $(k+1)k\cdots 321$.
format Preprint
id arxiv_https___arxiv_org_abs_2512_25006
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Limit Theorems for Fixed Point Biased Pattern Avoiding Involutions
Park, Jungeun
Rizzolo, Douglas
Probability
Combinatorics
60C05, 60F05, 05A05
We study fixed point biased involutions that avoid a pattern. For every pattern of length three we obtain limit theorems for the asymptotic distribution of the (appropriately centered and scaled) number of fixed points of a random fixed point biased involution avoiding that pattern. When the pattern being avoided is either $321$, $132$, or $213$, we find a phase transition depending on the strength of the bias. We also obtain a limit theorem for distribution of fixed points when the pattern is $123\cdots k(k+1)$ for any $k$ and partial results when the pattern is $(k+1)k\cdots 321$.
title Limit Theorems for Fixed Point Biased Pattern Avoiding Involutions
topic Probability
Combinatorics
60C05, 60F05, 05A05
url https://arxiv.org/abs/2512.25006