对“间歇系统的李雅普诺夫统计和混合率”一文的评论
Comment on "Lyapunov statistics and mixing rates for intermittent systems"
摘要：
在皮雷斯{ \it等人} [Phys.Rev.E84，066210（2011）]考虑了间歇性映射，并且质疑了平滑可观测量的相关衰减与大偏差估计之间的紧密关系，例如Artuso和Manchein [Phys.Rev.E80，036210（2009）]中所采用的。我们试图澄清这个问题，并提供严格的论据和分析估计，反驳在皮雷斯{ \it等人}提出的异议。[Phys.Rev.E84，066210（2011）]中所描述的。
英文摘要：
In Pires {\it et al.} [Phys. Rev. E 84, 066210 (2011)] intermittent maps are considered, and the tight relationship between correlation decay of smooth observables and large deviations estimates, as for instance employed in Artuso and Manchein [Phys. Rev. E 80, 036210 (2009)], is questioned. We try to clarify the problem, and provide rigorous arguments and an analytic estimate that disprove the objections raised in Pires {\it et al.} [Phys. Rev. E 84, 066210 (2011)] when ergodic systems are considered.
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。
