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On Resource-Bounded Versions of the van Lambalgen Theorem

机译:关于van Lambalgen定理的资源有限版本

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The van Lambalgen theorem is a surprising result in algorithmic information theory concerning the symmetry of relative randomness. It establishes that for any pair of infinite sequences A and B, B is Martin-Lof random and A is Martin-Lof random relative to B if and only if the interleaved sequence A(+)B is Martin-Lof random. This implies that A is relative random to B if and only if B is random relative to A [1-3]. This paper studies the validity of this phenomenon for different notions of time-bounded relative randomness. We prove the classical van Lambalgen theorem using martingales and Kolmogorov compressibility. We establish the failure of relative randomness in these settings, for both time-bounded martingales and time-bounded Kolmogorov complexity. We adapt our classical proofs when applicable to the time-bounded setting, and construct counterexamples when they fail. The mode of failure of the theorem may depend on the notion of time-bounded randomness.
机译:范Lambalgen定理是关于相对随机性对称性的算法信息理论的令人惊讶的结果。它建立了对于任何一对无限序列A和B,B,B是马丁-LOF随机,并且仅当交错序列A(+)B是马丁-LOF随机的时,且仅当且才有才能随机地随机。这意味着A如果且仅当B是随机的相对于A [1-3]时,则A相对随机。本文研究了这种现象的有效性,用于不同界相对随机性的不同概念。我们通过Martingales和Kolmogorov可压缩来证明古典范兰加尔根定理。我们在这些设置中建立了相对随机性的失败,对于时间有限的鞅和时间有限的kolmogorov复杂性。我们在适用于时间限制设置时调整经典证据,并在失败时构建反统计数。定理的失败模式可能取决于时间有限随机性的概念。

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