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Bibliographic Details
Main Authors: Lichev, Lyuben, Linker, Amitai, Lodewijks, Bas, Mitsche, Dieter
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2602.15709
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author Lichev, Lyuben
Linker, Amitai
Lodewijks, Bas
Mitsche, Dieter
author_facet Lichev, Lyuben
Linker, Amitai
Lodewijks, Bas
Mitsche, Dieter
contents The depth-weighted tree DWT($f$) with weight function $f:\{0,1,2,\ldots\}\to (0,\infty)$ is a dynamic random tree grown from a root $r$ where vertices arrive consecutively and every new vertex attaches to a parent $u$ with probability proportional to $f$(distance between $u$ and $r$). This work is dedicated to a systematic analysis of the depth of DWT($f$). Namely, we provide precise analytic expressions of the typical depth of DWT($f$) for convergent, periodic, slowly growing, and (super-)exponentially growing weight functions. Furthermore, for bounded or exponentially growing $f$, we determine the typical depth up to a multiplicative constant, thus confirming and strengthening a conjecture of Leckey, Mitsche and Wormald.
format Preprint
id arxiv_https___arxiv_org_abs_2602_15709
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle On the depth of depth-weighted trees
Lichev, Lyuben
Linker, Amitai
Lodewijks, Bas
Mitsche, Dieter
Probability
The depth-weighted tree DWT($f$) with weight function $f:\{0,1,2,\ldots\}\to (0,\infty)$ is a dynamic random tree grown from a root $r$ where vertices arrive consecutively and every new vertex attaches to a parent $u$ with probability proportional to $f$(distance between $u$ and $r$). This work is dedicated to a systematic analysis of the depth of DWT($f$). Namely, we provide precise analytic expressions of the typical depth of DWT($f$) for convergent, periodic, slowly growing, and (super-)exponentially growing weight functions. Furthermore, for bounded or exponentially growing $f$, we determine the typical depth up to a multiplicative constant, thus confirming and strengthening a conjecture of Leckey, Mitsche and Wormald.
title On the depth of depth-weighted trees
topic Probability
url https://arxiv.org/abs/2602.15709