图灵跳跃与极限之间的伽罗瓦连接
A Galois connection between Turing jumps and limits
AI总结:
本文通过图灵跳跃与极限的伴随关系建立伽罗瓦连接,刻画极限可计算函数类,并证明在可计算度量空间上,相对于停机问题的可计算性等价于具有可计算连续模的极限可计算性,且利普希茨连续函数自动满足此性质。
摘要:
极限可计算函数可以通过输入侧的图灵跳跃或输出侧的极限来刻画。作为这对伴随操作的一个单子,我们得到一个刻画低函数的问题,并且对偶地,另一个问题刻画了相对于停机问题可计算的函数。相应地,这两个类是可以与极限可计算函数进行前复合或后复合而不会离开极限可计算函数类的最大的函数类。我们将这些观察转移到表示空间的格上,在那里它导致一个正式的伽罗瓦连接。我们还为可计算度量空间表述了这个结果的一个版本。极限可计算性和相对于停机问题的可计算性对于点和序列是重合的概念,但即使限制在连续函数上,前者也严格大于后者。在可计算度量空间上,我们可以将相对于停机问题可计算的函数刻画为那些具有相对于停机问题可计算的连续模的极限可计算函数。作为这个结果的一个推论,我们得到,例如,极限可计算的利普希茨连续函数自动地相对于停机问题可计算。我们还讨论了1-一般点作为极限可计算函数的典型连续点,并证明了限制在这些点上,极限可计算函数是相对于停机问题可计算的。最后,我们展示了这些结果如何在可计算分析中应用。
英文摘要:
Limit computable functions can be characterized by Turing jumps on the input side or limits on the output side. As a monad of this pair of adjoint operations we obtain a problem that characterizes the low functions and dually to this another problem that characterizes the functions that are computable relative to the halting problem. Correspondingly, these two classes are the largest classes of functions that can be pre or post composed to limit computable functions without leaving the class of limit computable functions. We transfer these observations to the lattice of represented spaces where it leads to a formal Galois connection. We also formulate a version of this result for computable metric spaces. Limit computability and computability relative to the halting problem are notions that coincide for points and sequences, but even restricted to continuous functions the former class is strictly larger than the latter. On computable metric spaces we can characterize the functions that are computable relative to the halting problem as those functions that are limit computable with a modulus of continuity that is computable relative to the halting problem. As a consequence of this result we obtain, for instance, that Lipschitz continuous functions that are limit computable are automatically computable relative to the halting problem. We also discuss 1-generic points as the canonical points of continuity of limit computable functions, and we prove that restricted to these points limit computable functions are computable relative to the halting problem. Finally, we demonstrate how these results can be applied in computable analysis.
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