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BP_H SPACE(S ) is contained in DSPACE(S~3/2 )

机译:BP_H SPACE(S)包含在DSPACE(S〜3/2)中

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We prove that any language that can be recognized by a randomized algo- rithm (with possibly a two-sided error) that runs in space O(S) and always terminates can be recognized by deterministic algorithm running in space O(S~3/2). This improves the best previously known result that such algorithms have deterministic space O(S~2) simulations which, for one-sided error algo- rithms, follows from Savitch's theorem and, for two-sided error algorithms, follows by reduction to recursive matrix powering. Our result includes as a special case the result due to Nisan, Szemeredi, and Wigderson that undirected connectivity can be computed in space O(log~(3/2) n). It is obtained via a new algorithm for repeated squaring of a matrix; we show how to approximate the 2'th power of a d × d matrix in space O(r~(1/2) log d), improving on the bound of O(r log d) that comes from the natural recursive algorithm. The algorithm employs Nisan's pseudorandom generator for space-bounded com- putation, together with some new techniques for reducing the number of random bits needed by an algorithm.
机译:我们证明,可以由在空间O(S〜3 /)中运行的确定性算法识别可以在空间O(S)中运行并始终终止的随机算法(可能存在双向错误)识别的任何语言。 2)。这改善了以前最好的已知结果,即这种算法具有确定性的空间O(S〜2)模拟,对于单面误差算法,该模拟遵循Savitch定理,而对于两面误差算法,则通过归约到递归矩阵进行供电。作为特殊情况,我们的结果包括Nisan,Szemeredi和Wigderson的结果,即可以在空间O(log〜(3/2)n)中计算无向连通性。它是通过新算法对矩阵进行重复平方得到的。我们展示了如何在空间O(r〜(1/2)log d)中逼近d×d矩阵的2阶幂,并改进了自然递归算法产生的O(r log d)的边界。该算法使用Nisan的伪随机数发生器进行有界计算,并结合了一些新技术来减少算法所需的随机位数。

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