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Lowness for effective Hausdorff dimension

机译:降低有效Hausdorff尺寸

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We examine the sequences A that are low for dimension, i.e. those for which the effective (Hausdorff) dimension relative to A is the same as the unrelativized effective dimension. Lowness for dimension is a weakening of lowness for randomness, a central notion in effective randomness. By considering analogues of characterizations of lowness for randomness, we show that lowness for dimension can be characterized in several ways. It is equivalent to lowishness for randomness, namely, that every Martin-Lof random sequence has effective dimension 1 relative to A, and lowishness for K, namely, that the limit of K-A(n)/K(n) is 1. We show that there is a perfect Pi(0)(1)-class of low for dimension sequences. Since there are only countably many low for random sequences, many more sequences are low for dimension. Finally, we prove that every low for dimension is jump-traceable in order n(epsilon), for any epsilon > 0.
机译:我们检查序列A的维数较低,即相对于A的有效(Hausdorff)维数与未相对有效维数相同的序列。维度的低度是对随机性的低度的削弱,这是有效随机性的中心概念。通过考虑随机性低度特征的类似物,我们表明维度的低度可以通过几种方式来表征。它等效于随机性低,即每个Martin-Lof随机序列具有相对于A的有效维1,而对于K的低度,即KA(n)/ K(n)的极限为1。我们证明对于维度序列,存在完美的低Pi(0)(1)类。由于随机序列只有很低的数量,因此更多序列的维数很低。最后,我们证明对于任何大于0的epsilon,尺寸的每个低点都可以按n(epsilon)阶跃跳转。

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