Central limit theorems for additive functionals in patricia tries

Fuente: arXiv
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Main Author: Ischebeck, Jasper
Format: Preprint
Published: 2023
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author Ischebeck, Jasper
author_facet Ischebeck, Jasper
contents We give theorems about asymptotic normality of general additive functionals on patricia tries in an i.i.d. setting, derived from results on tries by Janson (2022). These theorems are applied to show asymptotic normality of the distribution of random fringe trees in patricia tries. Formulas for asymptotic mean and variance are given. The proportion of fringe trees with $k$ keys is asymptotically, ignoring oscillations, given by $(1-ρ(k))/(H+J)k(k-1)$ with the source entropy $H$, an entropy-like constant $J$, that is $H$ in the binary case, and an exponentially decreasing function $ρ(k)$. Another application gives asymptotic normality of the independence number.
format Preprint
id arxiv_https___arxiv_org_abs_2305_14900
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Central limit theorems for additive functionals in patricia tries
Ischebeck, Jasper
Probability
60F05 (Primary) 68P10, 68P05 (Secondary)
We give theorems about asymptotic normality of general additive functionals on patricia tries in an i.i.d. setting, derived from results on tries by Janson (2022). These theorems are applied to show asymptotic normality of the distribution of random fringe trees in patricia tries. Formulas for asymptotic mean and variance are given. The proportion of fringe trees with $k$ keys is asymptotically, ignoring oscillations, given by $(1-ρ(k))/(H+J)k(k-1)$ with the source entropy $H$, an entropy-like constant $J$, that is $H$ in the binary case, and an exponentially decreasing function $ρ(k)$. Another application gives asymptotic normality of the independence number.
title Central limit theorems for additive functionals in patricia tries
topic Probability
60F05 (Primary) 68P10, 68P05 (Secondary)
url https://arxiv.org/abs/2305.14900