A Statistical Mechanical Interpretation of Algorithmic Information Theory by Kohtaro Tadaki

A Statistical Mechanical Interpretation of Algorithmic Information Theory by Kohtaro Tadaki

Author:Kohtaro Tadaki
Language: eng
Format: epub, pdf
ISBN: 9789811507397
Publisher: Springer Singapore


for every and every with . Therefore, the condition (iii) of Theorem 5.11 and the condition (iii) of Theorem 5.14 hold for g.

Thus, Theorem 5.11, Theorem 5.13, and Theorem 5.14 result in Theorem 5.3, Theorem 5.4, and Theorem 5.5, respectively. Then, as we saw in Sect. 5.1, Theorem 5.1 follows immediately from the latter three theorems.

5.4 Some Properties of the Sufficient Conditions

In this section, we investigate some properties of the sufficient conditions for T to be a fixed point in the fixed point theorems on partial randomness; Theorems 5.1, 5.7, 5.8, and 5.9. We can show Theorems 5.24, 5.25, and 5.26 below for the sufficient conditions, in addition to Theorem 5.2 shown already for the sufficient condition regarding the partition function Z(T) of AIT in Sect. 5.1.



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