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arXiv 1111.1064math.LO
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典型图灵度

The typical Turing degree

George Barmpalias, Adam R. Day, Andrew E. M. Lewis

摘要:

实数的图灵度度量了产生其二进制展开式的计算难度。由于图灵度是尾集,从柯尔莫哥洛夫0-1定律可以得出,对于任何给定的图灵度可能满足或不满足的任何性质,满足的类将是勒贝格测度0或1,只要它是可测量的。因此,要么是\emph{typical}度满足该性质,要么是典型度满足其否定。此外,在这方面存在足以确保典型性的某种程度的随机性。类似的分析也可以在Baire范畴中进行,在Baire范畴中,泛型的标准式现在扮演着随机性在度量上下文中所扮演的角色。我们描述和证明了一些结果的研究计划,旨在建立典型的图灵度的属性,其中典型性是衡量无论是在勒贝格测度或Baire类。

英文摘要:

The Turing degree of a real measures the computational difficulty of producing its binary expansion. Since Turing degrees are tailsets, it follows from Kolmogorov's 0-1 law that for any property which may or may not be satisfied by any given Turing degree, the satisfying class will either be of Lebesgue measure 0 or 1, so long as it is measurable. So either the \emph{typical} degree satisfies the property, or else the typical degree satisfies its negation. Further, there is then some level of randomness sufficient to ensure typicality in this regard. A similar analysis can be made in terms of Baire category, where a standard form of genericity now plays the role that randomness plays in the context of measure. We describe and prove a number of results in a programme of research which aims to establish the properties of the typical Turing degree, where typicality is gauged either in terms of Lebesgue measure or Baire category.

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