Polynomial Depth, Highness and Lowness for E

Philippe Moser

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arXiv · 1602.03332

Polynomial Depth, Highness and Lowness for E

Philippe Moser

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Abstract

We study the relations between the notions of highness, lowness and logical depth in the setting of complexity theory. We introduce a new notion of polylog depth based on time bounded Kolmogorov complexity. We show polylog depth satisfies all basic logical depth properties, namely sets in P are not polylog deep, sets with (time bounded)-Kolmogorov complexity greater than polylog are not polylog deep, and only polylog deep sets can polynomially Turing compute a polylog deep set. We prove that if NP does not have p-measure zero, then NP contains polylog deep sets. We show that every high set for E contains a polylog deep set in its polynomial Turing degree, and that there exist low(E,EXP) polylog deep sets. Keywords: algorithmic information theory; Kolmogorov complexity; Bennett logical depth.

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Philippe Moser. 2016-02-10. Polynomial Depth, Highness and Lowness for E. https://arxiv.org/abs/1602.03332

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