arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2407.07286math.DS
收藏

自然测度与非统计映射的统计性质

Natural measures and statistical properties of non-statistical maps with multiple neutral fixed points

Universidade Federal do Rio Janeiro(里约热内卢联邦大学);University of Warwick(华威大学);Sharif University of Technology(谢里夫理工大学);Institute for Research in Fundamental Sciences (IPM)(伊朗基础科学研究院)

Douglas Coates, Ian Melbourne, Amin Talebi

AI总结:

本文研究了不具有物理测度的无限测度保持动力系统,证明了其具有强统计性质,并给出了自然测度存在的充分条件及经验测度的分布极限定律。

摘要:

在本文中,我们证明了一类不具有物理测度的无限测度保持动力系统仍表现出强统计性质。特别是,我们给出了存在一个区分自然测度ν的充分条件,使得任何绝对连续概率测度的推 forward 都收敛到ν。此外,我们获得了经验测度的分布极限定律。我们还扩展了关于经验测度几乎必然极限点集的已有结果。我们的结果适用于各种具有多个中性不动点的间歇映射,这些映射保持无限σ-有限绝对连续测度。

英文摘要:

In this article we show that a large class of infinite measure preserving dynamical systems that do not admit physical measures nevertheless exhibit strong statistical properties. In particular, we give sufficient conditions for existence of a distinguished natural measure $ν$ such that the pushforwards of any absolutely continuous probability measure converge to $ν$. Moreover, we obtain a distributional limit law for empirical measures. We also extend existing results on the characterisation of the set of almost sure limit points for empirical measures. Our results apply to various intermittent maps with multiple neutral fixed points preserving an infinite $σ$-finite absolutely continuous measure.

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。

↑