Kac守恒粒子系统的大偏差和Boltzmann方程的能量非守恒解:预测速率函数的反例

IF 1.4 2区 数学 Q2 STATISTICS & PROBABILITY
Daniel Heydecker
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引用次数: 10

摘要

在包括平衡在内的一系列初始条件下,我们考虑了Kac碰撞过程的动态大偏差行为。我们证明了具有先前在动力学大偏差问题中发现的类型的速率函数的上界,以及限制在一类足够好的路径上的匹配下界。然而,我们能够通过一个明确的反例表明,预测的速率函数并没有扩展到全局下界:即使粒子系统几乎肯定会守恒,大偏差行为也包括不守恒的玻尔兹曼方程的解,正如Lu和Wennberg所发现的那样,并且这些情况比所提出的速率函数预测的更为罕见。在粒子系统的水平上,这是因为宏观比例的能量可以集中在$\mathfrak{o}(N)$粒子中,概率为$e^{-\mathcal{o}(N)}$。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Large deviations of Kac’s conservative particle system and energy nonconserving solutions to the Boltzmann equation: A counterexample to the predicted rate function
We consider the dynamic large deviation behaviour of Kac's collisional process for a range of initial conditions including equilibrium. We prove an upper bound with a rate function of the type which has previously been found for kinetic large deviation problems, and a matching lower bound restricted to a class of sufficiently good paths. However, we are able to show by an explicit counterexample that the predicted rate function does not extend to a global lower bound: even though the particle system almost surely conserves energy, large deviation behaviour includes solutions to the Boltzmann equation which do not conserve energy, as found by Lu and Wennberg, and these occur strictly more rarely than predicted by the proposed rate function. At the level of the particle system, this occurs because a macroscopic proportion of energy can concentrate in $\mathfrak{o}(N)$ particles with probability $e^{-\mathcal{O}(N)}$.
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来源期刊
Annals of Applied Probability
Annals of Applied Probability 数学-统计学与概率论
CiteScore
2.70
自引率
5.60%
发文量
108
审稿时长
6-12 weeks
期刊介绍: The Annals of Applied Probability aims to publish research of the highest quality reflecting the varied facets of contemporary Applied Probability. Primary emphasis is placed on importance and originality.
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