arXiv · 1509.08825
Polynomial Space Randomness in Analysis
Abstract
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 $\mathbb{R}^n$ to define \textit{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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Xiang Huang, D. M. Stull. 2015-09-29. Polynomial Space Randomness in Analysis. https://arxiv.org/abs/1509.08825
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