Abstract
We consider two quantities that measure complexity of binary strings: K M(x) is defined as the negative logarithm of continuous a priori probability on the binary tree, and K(x) denotes prefix complexity of a binary string x. In this paper we answer a question posed by Joseph Miller and prove that there exists an infinite binary sequence ω such that the sum of 2KM(x)−K(x) over all prefixes x of ω is infinite. Such a sequence can be chosen among characteristic sequences of computably enumerable sets.







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Notes
The summation is stopped at the same level N, so the tree height is less by 1 and we can apply the induction assumption. The base of induction is trivial: in the root the ratio m/a ′ is at most 1 for evident reasons.
The weight of vertex 0 in the strategy is equal to the desired increase in k; there are no deep reasons for this choice, but it simplifies the computations.
References
Bienvenu, L., Gács, P., Hoyrup, M., Rojas, C., Shen, A.: Algorithmic tests and randomness with respect to a class of measures In: Proceeding of the Steklov Institute of Mathematics, Vol. 274, pp 41–102 (2011). arXiv:1103.1529v2
Shen, A. Algoritmic information theory and Kolmogorov complexity, lecture notes, http://www.it.uu.se/research/publications/reports/2000-034
Vereshchagin, N.K., Uspensky, V.A., Shen, A.: Kolmogorov Complexity and Algorithmic Randomness. MCCME Publishers, Moscow (2013). (In Russian)
Levin, L.: Some Theorems About the Algorithmic Approach to Probability Theory and Information Theory, p 53. Ph.D. thesis, Moscow State University (1971). (In Russian)
Levin, L.A.: Laws on information conservation (nongrowth) and aspects of the foundation of probability theory. Probl. Inf. Transm. 10, 206–210 (1974)
Gács, P.: On the symmetry of algorithmic information. Soviet Math. Dokl. 15(5), 1477–1480 (1974)
Chaitin, G.J.: A theory of program size formally identical to information theory. J. ACM 22(3), 329–340 (1975)
Zvonkin, A.K., Levin, L.A.: The complexity of finite objects and the developments of the concepts of information and randomness by means of the theory of algorithms. Russ. Math. Surv. 25(6(156)), 83–124 (1970)
Martin-Löf, P.: The definition of random sequences. Inf. Control. 9, 602–619 (1966)
Gács, P.: Exact expressions for some randomness tests. Zeitschrift f. Math. Logik und Grundlagen d. Math. 26, 385–394 (1979)
Schnorr, C. P.: Process complexity and effective random tests. J. Comput. Syst. Sci. 7, 376–388 (1973). Preliminary version: In: Proceedings of the 4th ACM Symposium on Theory of Computing (STOC), 1972, pp. 168–176
Levin, L.A.: On the notion of a random sequence. Soviet Math. Dokl. 14, 1413–1416 (1973)
Levin, L.A.: Uniform tests of randomness. Soviet Math. Dokl. 17, 337 (1976)
Miller, J. S., Yu, L.: On initial segment complexity and degrees of randomness. Trans. AMS 360(6), 3193–3210 (2008)
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Andreev, M., Kumok, A. The Sum 2KM(x)−K(x) Over All Prefixes x of Some Binary Sequence Can be Infinite. Theory Comput Syst 58, 424–440 (2016). https://doi.org/10.1007/s00224-014-9604-2
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DOI: https://doi.org/10.1007/s00224-014-9604-2