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Statistically relevant and irrelevant conserved quantities for the equilibrium statistical description of the truncated Burger-Hopf equation and the equations for barotropic flow.

机译:截断的Burger-Hopf方程和正压流方程的平衡统计描述的统计上和不相关的守恒量。

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摘要

The purpose of the current work is to study the statistical relevance and irrelevance of the additional conserved quantities in the simple models of actual weather systems. Here we consider the two models with the key features of statistical weather behavior: the truncated Burgers-Hopf (TBH) equation, which is, in fact, the Galerkin projection of the actual Burgers-Hopf equation on the finite Fourier basis; and the two different truncations of the equations for barotropic flow with topography—the traditional spectral truncation and the sine-bracket truncation. In the case with TBH the recently discovered Hamiltonian structure proposes the cubic Hamiltonian to be considered as an additional conserved quantity, since the equilibrium statistical theory developed for TBH is based on the conservation of energy. Thus, the question arises of the statistical significance of the Hamiltonian, beyond that of the energy. First, an appropriate statistical theory is developed which includes both the energy and the Hamiltonian. Then a convergent Monte-Carlo algorithm is developed for computing equilibrium statistical distributions. The probability distribution of the Hamiltonian on a microcanonical energy surface is studied through the Monte-Carlo algorithm and leads to the concept of statistically relevant and irrelevant values for the Hamiltonian. Empirical numerical estimates and simple analysis are combined to demonstrate that the set of statistically relevant values of the Hamiltonian has vanishingly small measure as the number of degrees of freedom increases with fixed mean energy. The predictions of the theory for relevant and irrelevant values for the Hamiltonian are confirmed through systematic numerical simulations. For statistically relevant values of the Hamiltonian, these simulations show a surprising spectral tilt rather than equipartition of energy. This spectral tilt is predicted and confirmed independently by Monte-Carlo simulations based on equilibrium statistical mechanics together with a heuristic formula for the tilt. For the equations for barotropic flow with topography, the two different spectral truncations are considered—the traditional truncation and the sine-bracket truncation. The main difference between the two is that, apart from the energy and the enstrophy, which are the conserved quantities for the traditional truncation, there is a vast number of additional invariants for the sine-bracket truncation, which, in fact, are the Casimir invariants for the Poisson bracket of the sine-bracket truncation. (Abstract shortened by UMI.)
机译:当前工作的目的是在实际天气系统的简单模型中研究附加守恒量的统计相关性和不相关性。在这里,我们考虑两个具有统计天气行为关键特征的模型:截断的Burgers-Hopf(TBH)方程,实际上是在有限傅立叶基础上实际Burgers-Hopf方程的Galerkin投影;以及带有地形的正压流方程的两个截断-传统的频谱截断和正弦括号截断。在TBH的情况下,最近发现的哈密顿结构建议将三次哈密顿量视为额外的守恒量,因为为TBH开发的平衡统计理论是基于能量守恒的。因此,除了能量之外,还出现了哈密顿量的统计意义的问题。首先,建立了一个既包含能量又包含哈密顿量的统计理论。然后,开发了一种收敛的蒙特卡洛算法来计算平衡统计分布。通过蒙特卡洛算法研究了微经典能量表面上哈密顿量的概率分布,并得出了哈密顿量的统计相关值和无关值的概念。结合经验数字估计和简单分析,可以证明随着自由度数量随固定平均能量的增加而增加,哈密顿量的统计相关值集几乎消失了。哈密​​顿量相关值和无关值的理论预测通过系统的数值模拟得到证实。对于哈密顿量的统计相关值,这些模拟显示出令人惊讶的频谱倾斜,而不是能量的均分。该光谱倾斜度是通过基于平衡统计力学以及倾斜度的启发式公式的蒙特卡洛模拟独立预测和确认的。对于具有地形的正压流方程,考虑了两个不同的频谱截断-传统截断和正弦括号截断。两者的主要区别在于,除了能量和内旋量(这是传统截断的保守量)之外,正弦括号截断还有大量其他不变量,实际上,这是卡西米尔正弦括号截断的Poisson括号的不变量。 (摘要由UMI缩短。)

著录项

  • 作者

    Abramov, Rafail V.;

  • 作者单位

    Rensselaer Polytechnic Institute.;

  • 授予单位 Rensselaer Polytechnic Institute.;
  • 学科 Mathematics.; Geophysics.
  • 学位 Ph.D.
  • 年度 2002
  • 页码 264 p.
  • 总页数 264
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 数学;地球物理学;
  • 关键词

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