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On initial segment complexity and degrees of randomness
Authors:Joseph S Miller  Liang Yu
Institution:Department of Mathematics, University of Connecticut, Storrs, Connecticut 06269-3009 ; Department of Mathematics, National University of Singapore, Singapore 117543
Abstract:One approach to understanding the fine structure of initial segment complexity was introduced by Downey, Hirschfeldt and LaForte. They define $ X\leq_K Y$ to mean that $ (\forall n) K(X\upharpoonright n)\leq K(Y\upharpoonright n)+O(1)$. The equivalence classes under this relation are the $ K$-degrees. We prove that if $ X\oplus Y$ is $ 1$-random, then $ X$ and $ Y$ have no upper bound in the $ K$-degrees (hence, no join). We also prove that $ n$-randomness is closed upward in the $ K$-degrees. Our main tool is another structure intended to measure the degree of randomness of real numbers: the $ \textit{vL}$-degrees. Unlike the $ K$-degrees, many basic properties of the $ \textit{vL}$-degrees are easy to prove. We show that $ X\leq_K Y$ implies $ X\leq_{\textit{vL}} Y$, so some results can be transferred. The reverse implication is proved to fail. The same analysis is also done for $ \leq_C$, the analogue of $ \leq_K$ for plain Kolmogorov complexity.

Two other interesting results are included. First, we prove that for any $ Z\in 2^\omega$, a $ 1$-random real computable from a $ 1$-$ Z$-random real is automatically $ 1$-$ Z$-random. Second, we give a plain Kolmogorov complexity characterization of $ 1$-randomness. This characterization is related to our proof that $ X\leq_C Y$ implies $ X\leq_{\textit{vL}} Y$.

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