五倍子树的 B_2$ 指数

François Bienvenu, Jean-Jil Duchamps, Michael Fuchs, Tsan-Cheng Yu
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引用次数: 0

摘要

近年来,人们一直在努力将最初在树的背景下定义的系统发育平衡的经典概念扩展到网络。在本文中,我们研究了一类著名的系统发育网络的 $B_2$ 指数:瘿树。我们的研究表明,随着网络规模的增大,均匀叶标记的瘿树的 $B_2$ 指数在分布上会逐渐收敛。我们描述了相应的极限分布,并证明其预期值为 2.707911858984...这是首次对随机系统发育网络的平衡指数进行如此详细的研究。这项工作的一个特点是,我们使用了两种不同的独立方法,每种方法都有自己的优势:分析组合学和局部极限。分析组合学方法更直接,因为它依赖于标准工具;但它涉及的计算稍微复杂一些。由于局部极限方法以前未被用于研究此类问题,因此需要事先开发一个广泛的框架;不过,这个框架本身就很有趣,可以用于解决其他类似问题。
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The $B_2$ index of galled trees
In recent years, there has been an effort to extend the classical notion of phylogenetic balance, originally defined in the context of trees, to networks. One of the most natural ways to do this is with the so-called $B_2$ index. In this paper, we study the $B_2$ index for a prominent class of phylogenetic networks: galled trees. We show that the $B_2$ index of a uniform leaf-labeled galled tree converges in distribution as the network becomes large. We characterize the corresponding limiting distribution, and show that its expected value is 2.707911858984... This is the first time that a balance index has been studied to this level of detail for a random phylogenetic network. One specificity of this work is that we use two different and independent approaches, each with its advantages: analytic combinatorics, and local limits. The analytic combinatorics approach is more direct, as it relies on standard tools; but it involves slightly more complex calculations. Because it has not previously been used to study such questions, the local limit approach requires developing an extensive framework beforehand; however, this framework is interesting in itself and can be used to tackle other similar problems.
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