Lower bounds on the redundancy in computations from random oracles via betting strategies with restricted wagers
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The Kučera–G&aacute;cs theorem is a landmark result in algorithmic randomness asserting that every real is computable from a Martin-Löf random real. If the computation of the first n   bits of a sequence requires ace0f13427403f69e47dfd7c9d04b8" title="Click to view the MathML source">n+h(n) bits of the random oracle, then h is the redundancy   of the computation. Kučera implicitly achieved redundancy nlog⁡n while G&aacute;cs used a more elaborate coding procedure which achieves redundancy View the MathML source. A similar bound is implicit in the later proof by Merkle and Mihailović. In this paper we obtain optimal strict lower bounds on the redundancy in computations from Martin-Löf random oracles. We show that any nondecreasing computable function g   such that n2−g(n)=∞ is not a general upper bound on the redundancy in computations from Martin-Löf random oracles. In fact, there exists a real X such that the redundancy g of any computation of X   from a Martin-Löf random oracle satisfies n2−g(n)<∞. Moreover, the class of such reals is comeager and includes a View the MathML source real as well as all weakly 2-generic reals. On the other hand, it has been recently shown that any real is computable from a Martin-Löf random oracle with redundancy g, provided that g   is a computable nondecreasing function such that n2−g(n)<∞. Hence our lower bound is optimal, and excludes many slow growing functions such as ac69da363c521b1cb7e9280" title="Click to view the MathML source">log⁡n from bounding the redundancy in computations from random oracles for a large class of reals. Our results are obtained as an application of a theory of effective betting strategies with restricted wagers which we develop.

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