Abstract
Let x be a binary string of length n. Consider the set P x of all pairs of integers (a,b) such that the randomness deficiency of x in a finite set S of Kolmogorov complexity at most a is at most b. The paper [4] proves that there is no algorithm that for every given x upper semicomputes the minimal deficiency function β x (a) = min{b | (a,b) ∈ p x }with precision n/log4 n. We strengthen this result in two respects. First, we improve the precision to n/4. Second, we show that there is no algorithm that for every given x enumerates a set at distance at most n/4 from P x , which is easier than to upper semicompute the minimal deficiency function of x with the same accuracy.
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References
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Ustinov, M.A. (2006). Non-approximability of the Randomness Deficiency Function. In: Grigoriev, D., Harrison, J., Hirsch, E.A. (eds) Computer Science – Theory and Applications. CSR 2006. Lecture Notes in Computer Science, vol 3967. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11753728_37
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DOI: https://doi.org/10.1007/11753728_37
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-34166-6
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