Title :
The complexity of stochastic sequences
Author :
Merkle, Wolfgang
Author_Institution :
Inst. fur Informatik, Ruprecht-Karls-Univ. Heidelberg, Germany
Abstract :
We observe that known results on the Kolmogorov complexity of prefixes of effectively stochastic sequences extend to corresponding random sequences. First, there are recursively random sequences such that for any nondecreasing and unbounded computable function f and for almost all n, the uniform complexity of the length n prefix of the sequence is bounded by f(n). Second, a similar result with bounds of the form f(n) log n holds for partially-recursive random sequences. Furthermore, we show that there is no Mises-Wald-Church stochastic sequence such that the prefixes of the sequence have Kolmogorov complexity O(log n). This result implies a sharp bound for the complexity of the prefixes of Mises-Wald-Church stochastic and of partially-recursive random sequences. As an immediate corollary to our results, we obtain the known separation of the classes of recursively random and of Mises-Wald-Church stochastic sequences.
Keywords :
computability; computational complexity; random sequences; recursive functions; stochastic processes; Kolmogorov complexity; Mises-Wald-Church stochastic sequence; nondecreasing computable function; partially-recursive random sequence; recursive random sequence; unbounded computable function; Bibliographies; Binary sequences; Computational complexity; Random sequences; Stochastic processes;
Conference_Titel :
Computational Complexity, 2003. Proceedings. 18th IEEE Annual Conference on
Print_ISBN :
0-7695-1879-6
DOI :
10.1109/CCC.2003.1214423