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The Borel—Bernstein Theorem for multidimensional continued fractions

机译:多维连续分数的Borel-Bernstein定理

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A central result in the metric theory of continued fractions, the Borel—Bernstein Theorem gives statistical information on the rate of increase of the partial quotients. We introduce a geometrical interpretation of the continued fraction algorithm; then, using this set-up, we generalize it to higher dimensions. In this manner, we can define known multidimensional algorithms such as Jacobi—Perron, Poincaré, Brun, Rauzy induction process for interval exchange transformations, etc. For the standard continued fractions, partial quotients become return times in the geometrical approach. The same definition holds for the multidimensional case. We prove that the Borel—Bernstein Theorem holds for recurrent multidimensional continued fraction algorithms.
机译:Borel-Bernstein定理是连续分数度量理论的主要结果,它提供了有关部分商的增长率的统计信息。我们介绍了连续分数算法的几何解释;然后,使用此设置,将其推广到更高的维度。通过这种方式,我们可以定义已知的多维算法,例如Jacobi-Perron,Poincaré,Brun,Rauzy归纳过程,用于区间交换变换等。对于标准连续分数,部分商成为几何方法中的返回时间。对于多维情况,具有相同的定义。我们证明了Borel-Bernstein定理适用于递归多维连续分数算法。

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