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Distributional Behavior of Time Averages of Non-L-1 Observables in One-dimensional Intermittent Maps with Infinite Invariant Measures

机译:具有无限不变测度的一维间歇映射中非L-1可观测时间平均的分布行为

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摘要

In infinite ergodic theory, two distributional limit theorems are well-known. One is characterized by the Mittag-Leffler distribution for time averages of functions, i.e., integrable functions with respect to an infinite invariant measure. The other is characterized by the generalized arc-sine distribution for time averages of non- functions. Here, we provide another distributional behavior of time averages of non- functions in one-dimensional intermittent maps where each has an indifferent fixed point and an infinite invariant measure. Observation functions considered here are non- functions which vanish at the indifferent fixed point. We call this class of observation functions weak non- function. Our main result represents a first step toward a third distributional limit theorem, i.e., a distributional limit theorem for this class of observables, in infinite ergodic theory. To prove our proposition, we propose a stochastic process induced by a renewal process to mimic a Birkoff sum of a weak non- function in the one-dimensional intermittent maps.
机译:在无限遍历理论中,两个分布极限定理是众所周知的。一个特征是函数的时间平均值的Mittag-Leffler分布,即关于无限不变测度的可积函数。另一个特征是针对非函数时间平均值的广义反正弦分布。在这里,我们提供了一维间歇图中非函数时间平均值的另一种分布行为,其中每个函数都有一个不变的固定点和一个不变的度量。此处考虑的观测函数是在固定点消失的非函数。我们称这类观察函数为弱非函数。我们的主要结果代表了迈向第三遍分布极限定理的第一步,即无限遍历理论中此类可观察物的分布极限定理。为了证明我们的主张,我们提出了一个由更新过程引起的随机过程,以模仿一维间歇图中弱非函数的Birkoff和。

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