Abstract
Loosely speaking, when A is “more random” than B and B is “random”, then A should be random. The theory of algorithmic randomness has some formulations of “random” sets and “more random” sets. In this paper, we study which pairs (R, r) of randomness notions R and reducibilities r have the follwing property: if A is r-reducible to B and A is R-random, then B should be R-random. The answer depends on the notions R and r. The implications hold for most pairs, but not for some. We also give characterizations of n-randomness via complexity.
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References
Barmpalias, G.: Algorithmic randomness and measures of complexity. Bull. Symb. Log. 19(3), 318–350 (2013)
Bauwens, B.: Prefix and plain Kolmogorov complexity characterizations of 2-randomness: simple proofs. Arch. Math. Log. 54(5), 615–629 (2015)
Bienvenu, L.: Game-Theoretic Approaches to Randomness: Unpredictability and Stochasticity. PhD thesis, Université de Provence - Aix-Marseille I (2009)
Bienvenu, L., Downey, R.: Kolmogorov Complexity and Solovay Functions. In: STACS, volume 3 of LIPIcs, pp 147–158 (2009)
Bienvenu, L., Downey, R., Nies, A., Merkle, W.: Solovay functions and their applications in algorithmic randomness. J. Comput. Syst. Sci. 81(8), 1575–1591 (2015)
Bienvenu, L., Merkle, W.: Reconciling data compression and Kolmogorov complexity. In: Arge, L., Cachin, C., Jurdziński, T., Tarlecki, A. (eds.) Automata, Languages and Programming, volume 4596 of Lecture Notes in Computer Science, pp 643–654. Springer, Berlin (2007)
Bienvenu, L., Muchnik, A., Shen, A., Vereshchagin, N.: Limit complexities revisited. Theor. Comput. Syst. 47(3), 720–736 (2010)
Bienvenu, L., Muchnik, A., Shen, A., Vereshchagin, N.: Limit complexities revisited [once more]. ArXiv e-prints (2012)
Conidis, C.J.: Effectively approximating measurable sets by open sets. Theor. Comput. Sci. 438, 36–46 (2012)
Downey, R., Griffiths, E.: Schnorr randomness. J. Symb. Log. 69(2), 533–554 (2004)
Downey, R., Hirschfeldt, D.R.: Algorithmic randomness and complexity. Springer, Berlin (2010)
Downey, R.G., Griffiths, E.J., Reid, S.: On Kurtz randomness. Theor. Comput. Sci. 321, 249–270 (2004)
Franklin, J.N.Y.: Schnorr triviality and genericity. J. Symb. Log. 75(1), 191–207 (2010)
Franklin, J.N.Y., Stephan, F.: Schnorr trivial sets and truth-table reducibility. J. Symb. Log. 75(2), 501–521 (2010)
Li, M., Vitányi, P.: An Introduction to Kolmogorov Complexity and Its Applications. Graduate texts in computer science, third edition. Springer, New York (2009)
Miller, J.S.: Every 2-random real is Kolmogorov random. J. Symb. Log. 69(3), 907–913 (2004)
Miller, J.S.: The K-degrees, low for K-degrees, and weakly low for K sets. Notre Dame J. Formal Log. 50, 381–391 (2010)
Miller, J.S., Yu, L.: On initial segment complexity and degrees of randomness. Trans. Am. Math. Soc. 360, 3193–3210 (2008)
Miyabe, K.: Schnorr triviality and its equivalent notions. Theor. Comput. Syst. 56(3), 465–486 (2015)
Miyabe, K.: Reducibilities relating to schnorr randomness. Theory Comput. Syst. 58(3), 441–462 (2016)
Nies, A.: Computability and Randomness. Oxford University Press, USA (2009)
Nies, A., Stephan, F., Terwijn, S.: Randomness, relativization and Turing degrees. J. Symb. Log. 70, 515–535 (2005)
van Lambalgen, M.: Random Sequences. PhD Thesis University of Amsterdam (1987)
Acknowledgments
This work was supported by JSPS KAKENHI, Grant-in-Aid for Young Scientists (B), Grant Number 26870143. The author appreciates Frank Stephan for a useful comment to initial work of this paper at CCR2014 at Singapore, and André Nies for some comments to a later manuscript. The author also appreciates the reviewers for careful reading and some advice.
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Miyabe, K. Coherence of Reducibilities with Randomness Notions. Theory Comput Syst 62, 1599–1619 (2018). https://doi.org/10.1007/s00224-017-9752-2
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DOI: https://doi.org/10.1007/s00224-017-9752-2