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arXiv 0901.2464math.PR
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Kac方程解的中心极限定理

Central limit theorem for the solution of the Kac equation

Ester Gabetta, Eugenio Regazzini

摘要:

我们证明了玻尔兹曼方程的Kac模拟的解可以看作是一个随机变量的随机数之和的概率分布。这一事实使我们能够研究收敛到平衡的手段,一些经典的陈述有关的中心极限定理。特别是,提供了一个新的证明收敛到麦克斯韦分布,与速率信息下的唯一假设,即初始能量是有限的,并在额外的条件下,初始分布有有限的时刻的顺序$2+δ$为一些$δ$在$(0,1]$。此外,还证明了Kac方程的解弱收敛必须满足初始能量的有限性。虽然这一说法似乎是直观清楚的,但据我们所知,还没有证据。

英文摘要:

We prove that the solution of the Kac analogue of Boltzmann's equation can be viewed as a probability distribution of a sum of a random number of random variables. This fact allows us to study convergence to equilibrium by means of a few classical statements pertaining to the central limit theorem. In particular, a new proof of the convergence to the Maxwellian distribution is provided, with a rate information both under the sole hypothesis that the initial energy is finite and under the additional condition that the initial distribution has finite moment of order $2+δ$ for some $δ$ in $(0,1]$. Moreover, it is proved that finiteness of initial energy is necessary in order that the solution of Kac's equation can converge weakly. While this statement may seem to be intuitively clear, to our knowledge there is no proof of it as yet.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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