Algorithmic analogies to Kamae-Weiss theorem on normal numbers

0Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

In this paper we study subsequences of random numbers. In Kamae (1973), selection functions that depend only on coordinates are studied, and their necessary and sufficient condition for the selected sequences to be normal numbers is given. In van Lambalgen (1987), an algorithmic analogy to the theorem is conjectured in terms of algorithmic randomness and Kolmogorov complexity. In this paper, we show different algorithmic analogies to the theorem. © 2013 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Takahashi, H. (2013). Algorithmic analogies to Kamae-Weiss theorem on normal numbers. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7070 LNAI, pp. 411–416). Springer Verlag. https://doi.org/10.1007/978-3-642-44958-1_32

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free