Algorithmic information theory
Algorithmic information theory
A Theory of Program Size Formally Identical to Information Theory
Journal of the ACM (JACM)
Recursively enumerable reals and Chaitin &OHgr; numbers
Theoretical Computer Science
Information and Randomness: An Algorithmic Perspective
Information and Randomness: An Algorithmic Perspective
Randomness and Recursive Enumerability
SIAM Journal on Computing
Visualization 2001 Conference (Acm
Visualization 2001 Conference (Acm
Natural halting probabilities, partial randomness, and zeta functions
Information and Computation
Fixed Point Theorems on Partial Randomness
LFCS '09 Proceedings of the 2009 International Symposium on Logical Foundations of Computer Science
Computability and Randomness
Partial Randomness and Dimension of Recursively Enumerable Reals
MFCS '09 Proceedings of the 34th International Symposium on Mathematical Foundations of Computer Science 2009
Process complexity and effective random tests
Journal of Computer and System Sciences
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In 1975 Chaitin introduced his $$\Upomega$$ number as a concrete example of random real. The real $$\Upomega$$ is defined based on the set of all halting inputs for an optimal prefix-free machine U, which is a universal decoding algorithm used to define the notion of program-size complexity. Chaitin showed $$\Upomega$$ to be random by discovering the property that the first n bits of the base-two expansion of $$\Upomega$$ solve the halting problem of U for all binary inputs of length at most n. In this article, we introduce a new variant $$\Uptheta$$ of Chaitin $$\Upomega$$ number. The real $$\Uptheta$$ is defined based on the set of all compressible strings. We investigate the distribution of compressible strings and show that $$\Uptheta$$ is random. In addition, we generalize $$\Uptheta$$ to $$\Uptheta(Q, R)$$ with reals Q, R 0 and study its properties. In particular, we show that the computability of the real $$\Uptheta(T,\,1)$$ gives a sufficient condition for a real T 驴 (0, 1) to be a fixed point for partial randomness, i.e., to satisfy that the compression rate of T equals to T.