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  1.  48
    Truth-Table Schnorr Randomness and Truth-Table Reducible Randomness.Kenshi Miyabe - 2011 - Mathematical Logic Quarterly 57 (3):323-338.
    Schnorr randomness and computable randomness are natural concepts of random sequences. However van Lambalgen’s Theorem fails for both randomnesses. In this paper we define truth-table Schnorr randomness and truth-table reducible randomness, for which we prove that van Lambalgen's Theorem holds. We also show that the classes of truth-table Schnorr random reals relative to a high set contain reals Turing equivalent to the high set. It follows that each high Schnorr random real is half of a real for which van Lambalgen's (...)
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  2.  16
    Unified Characterizations of Lowness Properties Via Kolmogorov Complexity.Takayuki Kihara & Kenshi Miyabe - 2015 - Archive for Mathematical Logic 54 (3-4):329-358.
    Consider a randomness notion C\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathcal{C}}$$\end{document}. A uniform test in the sense of C\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathcal{C}}$$\end{document} is a total computable procedure that each oracle X produces a test relative to X in the sense of C\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathcal{C}}$$\end{document}. We say that a binary sequence Y is C\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\mathcal{C}}$$\end{document}-random uniformly relative to (...)
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  3.  13
    Algorithmic Randomness Over General Spaces.Kenshi Miyabe - 2014 - Mathematical Logic Quarterly 60 (3):184-204.
  4.  37
    An Extension of van Lambalgen's Theorem to Infinitely Many Relative 1-Random Reals.Kenshi Miyabe - 2010 - Notre Dame Journal of Formal Logic 51 (3):337-349.
    Van Lambalgen's Theorem plays an important role in algorithmic randomness, especially when studying relative randomness. In this paper we extend van Lambalgen's Theorem by considering the join of infinitely many reals which are random relative to each other. In addition, we study computability of the reals in the range of Omega operators. It is known that $\Omega^{\phi'}$ is high. We extend this result to that $\Omega^{\phi^{(n)}}$ is $\textrm{high}_n$ . We also prove that there exists A such that, for each n (...)
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  5.  4
    Using Almost-Everywhere Theorems From Analysis to Study Randomness.Kenshi Miyabe, André Nies & Jing Zhang - 2016 - Bulletin of Symbolic Logic 22 (3):305-331.
    We study algorithmic randomness notions via effective versions of almost-everywhere theorems from analysis and ergodic theory. The effectivization is in terms of objects described by a computably enumerable set, such as lower semicomputable functions. The corresponding randomness notions are slightly stronger than Martin–Löf randomness.We establish several equivalences. Given a ML-random realz, the additional randomness strengths needed for the following are equivalent.all effectively closed classes containingzhave density 1 atz.all nondecreasing functions with uniformly left-c.e. increments are differentiable atz.zis a Lebesgue point of (...)
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