Characterization of Kurtz Randomness by a Differentiation Theorem

Brattka, Miller and Nies (2012) showed that some major algorithmic randomness notions are characterized via differentiability. The main goal of this paper is to characterize Kurtz randomness by a differentiation theorem on a computable metric space. The proof shows that integral tests play an essential part and shows that how randomness and differentiation are connected.

[1]  Péter Gács,et al.  Randomness on Computable Probability Spaces—A Dynamical Point of View , 2009, Theory of Computing Systems.

[2]  Stephen G. Simpson,et al.  Schnorr randomness and the Lebesgue differentiation theorem , 2013 .

[3]  Péter Gács,et al.  Uniform test of algorithmic randomness over a general space , 2003, Theor. Comput. Sci..

[4]  A. S. Besicovitch A general form of the covering principle and relative differentiation of additive functions. II , 1945 .

[5]  J. Tiser Differentiation theorem for Gaussian measures on Hilbert space , 1988 .

[6]  Mathieu Hoyrup,et al.  A constructive Borel-Cantelli lemma. Constructing orbits with required statistical properties , 2009, Theor. Comput. Sci..

[7]  Vasco Brattka,et al.  Computability over Topological Structures , 2003 .

[8]  Volker Bosserhoff,et al.  Notions of Probabilistic Computability on Represented Spaces , 2008, CCA.

[9]  Benedikt Löwe,et al.  New Computational Paradigms , 2005 .

[10]  Rodney G. Downey,et al.  Algorithmic Randomness and Complexity , 2010, Theory and Applications of Computability.

[11]  Ming Li,et al.  An Introduction to Kolmogorov Complexity and Its Applications , 2019, Texts in Computer Science.

[12]  Klaus Weihrauch,et al.  Elementary Computable Topology , 2009, J. Univers. Comput. Sci..

[13]  Matthias Schröder Admissible representations for probability measures , 2007, Math. Log. Q..

[14]  V. Vovk,et al.  On the Empirical Validity of the Bayesian Method , 1993 .

[15]  A. Nies Computability and randomness , 2009 .

[16]  H. Hahn Leçons sur l'intégration et la recherche des fonctions primitives , 1904 .

[17]  Mathieu Hoyrup,et al.  Effective symbolic dynamics, random points, statistical behavior, complexity and entropy , 2007, Inf. Comput..

[18]  André Nies,et al.  Randomness and Differentiability , 2011, ArXiv.

[19]  Paul M. B. Vitányi,et al.  An Introduction to Kolmogorov Complexity and Its Applications , 1993, Graduate Texts in Computer Science.

[20]  H. Lebesgue Sur l'intégration des fonctions discontinues , 1910 .

[21]  Klaus Weihrauch,et al.  Computable Analysis: An Introduction , 2014, Texts in Theoretical Computer Science. An EATCS Series.

[22]  S. Barry Cooper,et al.  Computability And Models , 2003 .

[23]  Mathieu Hoyrup,et al.  Computability of probability measures and Martin-Löf randomness over metric spaces , 2007, Inf. Comput..

[24]  Klaus Weihrauch,et al.  A Tutorial on Computable Analysis , 2008 .