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Lower bounds on the redundancy in computations from random oracles via betting strategies with restricted wagers

机译:通过具有受限下注的下注策略,从随机预言机计算的冗余度下界

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The Kucera-Gacs theorem is a landmark result in algorithmic randomness asserting that every real is computable from a Martin-Loef random real. If the computation of the first n bits of a sequence requires n + h(n) bits of the random oracle, then h is the redundancy of the computation. Kucera implicitly achieved redundancy n log n while Gacs used a more elaborate coding procedure which achieves redundancy n~(1/2) log n. A similar bound is implicit in the later proof by Merkle and Mihailovic. In this paper we obtain optimal strict lower bounds on the redundancy in computations from Martin-Loef random oracles. We show that any nondecreasing computable function g such that Σ_n 2~(-g(n) = ∞ is not a general upper bound on the redundancy in computations from Martin-Ldf random oracles. In fact, there exists a real X such that the redundancy g of any computation of X from a Martin-Loef random oracle satisfies Σ_n 2~(-g(n) < ∞. Moreover, the class of such reals is comeager and includes a Δ_2~0 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-Ltif random oracle with redundancy g, provided that g is a computable nondecreasing function such that Σ_n 2~(-g(n)) < ∞. Hence our lower bound is optimal, and excludes many slow growing functions such as logn 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.
机译:Kucera-Gacs定理是算法随机性的一个标志性结果,它断言每个实数都可以从Martin-Loef随机实数计算得到。如果序列的前n个位的计算需要随机oracle的n + h(n)个位,则h是计算的冗余。 Kucera隐式地实现了冗余n log n,而Gacs使用了更为复杂的编码过程,从而实现了冗余n〜(1/2)log n。默克尔(Merkle)和米海洛维奇(Mihailovic)在后来的证明中也隐含了类似的界限。在本文中,我们从Martin-Loef随机预言机的计算中获得了冗余的最优严格下界。我们证明了任何非递减的可计算函数g(例如Σ_n2〜(-g(n)=∞)都不是Martin-Ldf随机预言的计算中冗余的一般上限。实际上,存在一个实数X,使得Martin-Loef随机预言机中X的任何计算的冗余g都满足Σ_n2〜(-g(n)<∞。此外,此类实数的类别是comeager,并且包括Δ_2〜0实数以及所有弱2另一方面,最近证明,只要g是可计算的非递减函数,使得∑_n 2〜(-g(n))< ∞。因此,我们的下界是最优的,并且排除了许多缓慢增长的函数(例如logn),从而限制了针对大型实数类的随机预言的计算冗余,我们的结果是通过应用有限条件的有效下注策略理论而获得的我们发展的赌注。

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