动态与统计

P. Peebles
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引用次数: 1

摘要

本章研究了n点相关函数如何被证明不仅可以作为描述性统计,而且可以作为牛顿聚类演化理论中的动态变量。将这些函数推广到位置和动量的质量相关函数,并推导出它们演化的BBGKY层次方程。这提供了一种新的方法来分析膨胀宇宙中质量集群的演化。当然,对该方法的主要兴趣来自于观测到的星系相关函数可能产生有用的质量相关函数的近似,因此观测结果可能为质量相关函数的动力学演化理论提供边界值。测试将是人们能否找到一个一致的理论来解释星系位置和速度的联合分布。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DYNAMICS AND STATISTICS
This chapter studies how the n-point correlation functions have proved useful not only as descriptive statistics but also as dynamic variables in the Newtonian theory of the evolution of clustering. It generalizes the functions to mass correlation functions in position and momentum, and derives the BBGKY hierarchy of equations for their evolution. This yields a new way to analyze the evolution of mass clustering in an expanding universe. Of course, the main interest in the approach comes from the thought that the observed galaxy correlation functions may yield useful approximations to the mass correlation functions, so the observations may provide boundary values for the dynamical theory of evolution of the mass correlation functions. The test will be whether one can find a consistent theory for the joint distributions in galaxy positions and velocities.
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