Polynomial Space Randomness in Analysis with Application to the Lebesgue Differentiation Theorem

نویسندگان

  • Xiang Huang
  • Donald M. Stull
چکیده

We study the interaction between polynomial space randomness and a fundamental result of analysis, the Lebesgue differentiation theorem. We generalize Ko’s framework for polynomial space computability in Rn to define weakly pspace-random points, a new variant of polynomial space randomness. We show that the Lebesgue differentiation theorem holds for every weakly pspace-random point.

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عنوان ژورنال:
  • CoRR

دوره abs/1509.08825  شماره 

صفحات  -

تاریخ انتشار 2015