Enumerative and Distributional Results for $d$-combining Tree-Child Networks
Abstract
Tree-child networks are one of the most prominent network classes for modeling evolutionary processes which contain reticulation events. Several recent studies have addressed counting questions for bicombining tree-child networks in which every reticulation node has exactly two parents. We extend these studies to -combining tree-child networks where every reticulation node has now parents, and we study one-component as well as general tree-child networks. For the number of one-component networks, we derive an exact formula from which asymptotic results follow that contain a stretched exponential for , yet not for . For general networks, we find a novel encoding by words which leads to a recurrence for their numbers. From this recurrence, we derive asymptotic results which show the appearance of a stretched exponential for all . Moreover, we also give results on the distribution of shape parameters (e.g., number of reticulation nodes, Sackin index) of a network which is drawn uniformly at random from the set of all tree-child networks with the same number of leaves. We show phase transitions depending on , leading to normal, Bessel, Poisson, and degenerate distributions. Some of our results are new even in the bicombining case.
Keywords
Cite
@article{arxiv.2209.03850,
title = {Enumerative and Distributional Results for $d$-combining Tree-Child Networks},
author = {Yu-Sheng Chang and Michael Fuchs and Hexuan Liu and Michael Wallner and Guan-Ru Yu},
journal= {arXiv preprint arXiv:2209.03850},
year = {2024}
}
Comments
Revised version; accepted for publication in Adv. in Appl. Math