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arXiv 1710.08643math.DSmath.NT
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自动序列作为遍历定理的好权

Automatic sequences as good weights for ergodic theorems

Tanja Eisner, Jakub Konieczny

摘要:

我们研究了具有多项式相位的自动序列(即可由有限自动机计算的序列)的相关估计。因此,我们提供了一个新的类的古典和多项式的遍历定理,而不是来自动力系统的好的权重。我们表明,自动序列是很好的权重在$L^2$多项式平均和完全遍历系统。对于完全平衡的自动序列(即,序列沿等差数列平均收敛到零),则$L^1$中的逐点加权遍历定理成立。此外,可逆自动序列是$L^r$,$r>1$中逐点多项式遍历定理的良好权。

英文摘要:

We study correlation estimates of automatic sequences (that is, sequences computable by finite automata) with polynomial phases. As a consequence, we provide a new class of good weights for classical and polynomial ergodic theorems, not coming themselves from dynamical systems. We show that automatic sequences are good weights in $L^2$ for polynomial averages and totally ergodic systems. For totally balanced automatic sequences (i.e., sequences converging to zero in mean along arithmetic progressions) the pointwise weighted ergodic theorem in $L^1$ holds. Moreover, invertible automatic sequences are good weights for the pointwise polynomial ergodic theorem in $L^r$, $r>1$.

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