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树-子网络在mu向量方面的刻画

Characterization of tree-child networks in terms of mu vectors

Toni Fuentes, Vincent Moulton, Katharina T. Huber, Joan Carles Pons

arXiv 2609.25177首次发表:更新:

AI 中文总结

本文通过mu向量刻画树-子系统发育网络,提出有序树路径分解及纯向量条件,给出可行性判据,为重建和算法应用提供基础。

AI 中文摘要

我们根据mu表示来刻画树-子系统发育网络。首先,我们通过有序树路径分解给出了树-子网络的结构刻画。然后,我们将这种分解转化为对N^n中有限子集M的一组纯向量条件。我们证明,这样的集合M是树-子系统发育网络的mu表示,当且仅当它是树-子mu兼容的。这为树-子mu表示提供了一个可行性判据,可作为重建和进一步算法应用的基础。注意,本文呈现了正在进行中的树-子网络研究的结果,这些结果将在后续版本中进一步发展和置于适当背景中。

英文摘要

We characterize tree-child phylogenetic networks in terms of their mu-representations. First, we give a structural characterization of tree-child networks by means of ordered tree-path decompositions. We then translate this decomposition into a set of purely vectorial conditions on finite subsets M in N^n. We prove that such a set M is the mu-representation of a tree-child phylogenetic network if and only if it is tree-child mu-compatible. This provides a feasibility criterion for tree-child mu-representations which can be used as a basis for reconstruction and further algorithmic applications. Note that this paper presents results arising from ongoing research on tree-child networks and that the results will be further developed and placed into proper context in subsequent versions.

Comments12 pages, 2 figures

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