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Algorithmic information theory
This page is only in Japanese.
$L^1$-computability, layerwise computability and Solovay reducibility
News
17 July 2013, published
27 Mar 2013, accepted
19 Sep 2012, submitted
Title
L1-computability, layerwise computability and Solovay reducibility
Type
Full paper
Journal
Computability, 2:15-29, 2013.
Abstract
We propose a hierarchy of classes of functions that corresponds to the hierarchy of randomness notions. Each class of functions converges at the corresponding random points. We give various characterizations of the classes, that is, characterizations via integral tests, L1-computability and layerwise computability. Furthermore, the relation among these classes is formulated using Solovay reducibility for lower semicomputable functions.
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preprint
Correction
Proposition 2.3.
Let $\mu$ be a computable measure on a computable metric space.
Then there exists a computable sequence $\{r_n\}$ such that $\mu(\overline{B}(\alpha_i,r_j)\setminus B(\alpha_i, r_j))$ for all $i$ and $j$.
This statement should be the following.
Proposition 2.3.
Let $\mu$ be a computable measure on a computable metric space.
Then there exists a computable sequence $\{r_n\}$ such that
$\{ r_0,r_1, … \}$ is dense in the interval $(0 , \infty)$ and $\mu(\overline{B}(\alpha_i,r_j)\setminus B(\alpha_i, r_j))$ for all $i$ and $j$.
This problem was pointed out by K. Weihrauch on 19 Jan 2014. I appreciate his notice.
Unpredictability of initial points
News
25 Dec 2013, the slide file was uploaded
Title
Unpredictability of initial points
Type
RIMS Workshop: Dynamical Systems and Computation
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miyabe-DSC
Variants of Layerwise Computability
News
9 Dec 2013, the slide file was uploaded.
2 Dec 2013, the talk was given.
Title
Variants of Layerwise Computability
Type
ARGENTINA-JAPAN-NEW ZEALAND WORKSHOP, UNIVERSITY OF AUCKLAND
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slide