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Self-Similarity in Population Dynamics: Surname Distributions and Genealogical Trees

机译:人口动态中的自相似性:姓氏分布和家谱树

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摘要

The frequency distribution of surnames turns out to be a relevant issue not only in historical demography but also in population biology, and especially in genetics, since surnames tend to behave like neutral genes and propagate like Y chromosomes. The stochastic dynamics leading to the observed scale-invariant distributions has been studied as a Yule process, as a branching phenomenon and also by field-theoretical renormalization group techniques. In the absence of mutations the theoretical models are in good agreement with empirical evidence, but when mutations are present a discrepancy between the theoretical and the experimental exponents is observed. Hints for the possible origin of the mismatch are discussed, with some emphasis on the difference between the asymptotic frequency distribution of a full population and the frequency distributions observed in its samples. A precise connection is established between surname distributions and the statistical properties of genealogical trees. Ancestors tables, being obviously self-similar, may be investigated theoretically by renormalization group techniques, but they can also be studied empirically by exploiting the large online genealogical databases concerning European nobility.
机译:事实证明,姓氏的频率分布不仅在历史人口统计学中,而且在种群生物学中,尤其是在遗传学中,都是一个相关的问题,因为姓氏的行为往往像中性基因,并且像Y染色体一样传播。导致观测到的尺度不变分布的随机动力学已经作为尤尔过程,作为分支现象以及通过场论重归化群技术进行了研究。在没有突变的情况下,理论模型与经验证据非常吻合,但是当存在突变时,可以观察到理论和实验指数之间的差异。讨论了可能出现的不匹配的提示,并着重强调了总体总体的渐近频率分布与其样本中观察到的频率分布之间的差异。在姓氏分布和家谱树的统计特性之间建立了精确的联系。祖先表很明显是自相似的,可以通过重归一化组技术从理论上进行研究,但也可以通过利用有关欧洲贵族的大型在线家谱数据库进行经验研究。

著录项

  • 作者

    Paolo Rossi;

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  • 年度 2015
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  • 原文格式 PDF
  • 正文语种 eng
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