Yu-Sheng Chang , Michael Fuchs , Hexuan Liu , Michael Wallner , Guan-Ru Yu
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引用次数: 0
摘要
树-子网络是模拟包含网状结构事件的进化过程的最重要的网络类别之一。最近的一些研究解决了双结合树-子网络的计数问题,在双结合树-子网络中,每个网状节点都有两个父节点。我们将这些研究扩展到 d 组合树-子网络,其中每个网状节点现在都有 d≥2 个父代。对于单分量网络的数量,我们推导出了一个精确的公式,从中得出的渐近结果包含了 d=2 时的拉伸指数,但不包含 d≥3 时的拉伸指数。对于一般网络,我们发现了一种新颖的单词编码方式,它导致了单词数量的递推。根据这一递推关系,我们推导出了渐进结果,显示在所有 d≥2 的情况下都会出现拉伸指数。此外,我们还给出了网络形状参数(如网状节点数、萨金指数)的分布结果,该网络是从具有相同叶片数的所有树子网络集合中均匀随机抽取的。我们展示了取决于 d 的相变,导致正态分布、贝塞尔分布、泊松分布和退化分布。我们的一些结果甚至在二组合情况下也是新的。
Enumerative and distributional results for d-combining tree-child networks
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 d-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 d, leading to normal, Bessel, Poisson, and degenerate distributions. Some of our results are new even in the bicombining case.
期刊介绍:
Interdisciplinary in its coverage, Advances in Applied Mathematics is dedicated to the publication of original and survey articles on rigorous methods and results in applied mathematics. The journal features articles on discrete mathematics, discrete probability theory, theoretical statistics, mathematical biology and bioinformatics, applied commutative algebra and algebraic geometry, convexity theory, experimental mathematics, theoretical computer science, and other areas.
Emphasizing papers that represent a substantial mathematical advance in their field, the journal is an excellent source of current information for mathematicians, computer scientists, applied mathematicians, physicists, statisticians, and biologists. Over the past ten years, Advances in Applied Mathematics has published research papers written by many of the foremost mathematicians of our time.