首页> 外文学位 >An analytical and numerical study of Galton-Watson branching processes relevant to population dynamics.
【24h】

An analytical and numerical study of Galton-Watson branching processes relevant to population dynamics.

机译:与种群动态有关的高尔顿-沃森分枝过程的分析和数值研究。

获取原文
获取原文并翻译 | 示例

摘要

Galton-Watson branching processes of relevance to human population dynamics are the subject of this thesis. We begin with an historical survey of the invention of the invention of this model in the middle of the 19th century, for the purpose of modelling the extinction of unusual surnames in France and Britain. We then review the principal developments and refinements of this model, and their applications to a wide variety of problems in biology and physics.; Next, we discuss in detail the case where the probability generating function for a Galton-Watson branching process is a geometric series, which can be summed in closed form to yield a fractional linear generating function that can be iterated indefinitely in closed form.; We then describe the matrix method of Keyfitz and Tyree, and use it to determine how large a matrix must be chosen to model accurately a Galton-Watson branching process for a very large number of generations, of the order of hundreds or even thousands.; Finally, we show that any attempt to explain the recent evidence for the existence thousands of generations ago of a 'mitochondrial Eve' and a 'Y-chromosomal Adam' in terms of a the standard Galton-Watson branching process, or indeed any statistical model that assumes equality of probabilities of passing one's genes to one's descendents in later generations, is unlikely to be successful. We explain that such models take no account of the advantages that the descendents of the most successful individuals in earlier generations enjoy over their contemporaries, which must play a key role in human evolution.
机译:与人口动态相关的高尔顿-沃森分枝过程是本文的主题。我们首先从19世纪中叶对该模型的发明进行历史考察,以模拟法国和英国不同寻常的姓氏的灭绝。然后,我们回顾该模型的主要发展和完善,以及它们在生物学和物理学中的各种问题上的应用。接下来,我们详细讨论Galton-Watson分支过程的概率生成函数是几何级数的情况,可以将其以封闭形式求和以产生分数线性生成函数,该分数线性生成函数可以以封闭形式无限期地迭代。然后,我们描述Keyfitz和Tyree的矩阵方法,并用它来确定必须选择多大的矩阵才能精确地建模数百代甚至数千个数量级的高尔顿-沃森分枝过程。最后,我们证明了任何尝试以标准的高尔顿-沃森分枝过程或实际上是任何统计模型来解释“线粒体夏娃”和“ Y染色体亚当”存在的最新证据的尝试。假设将基因传给后代的概率相等,则不可能成功。我们解释说,这样的模型没有考虑到前几代最成功人士的后代享有的优势,而后者在人类进化中必须发挥关键作用。

著录项

  • 作者

    Jang, Sa-Han.;

  • 作者单位

    University of Delaware.$bDepartment of Physics and Astronomy.;

  • 授予单位 University of Delaware.$bDepartment of Physics and Astronomy.;
  • 学科 Physics Theory.
  • 学位 Ph.D.
  • 年度 2007
  • 页码 425 p.
  • 总页数 425
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号