首页> 外文期刊>Electronic Colloquium on Computational Complexity >Small Random Sets for Affine Spaces and Better Explicit Lower Bounds for Branching Programs
【24h】

Small Random Sets for Affine Spaces and Better Explicit Lower Bounds for Branching Programs

机译:仿射空间的小型随机集,分支程序的显式下界更好

获取原文
           

摘要

We show the following Reduction Lemma: any -biased sample space with respect to (Boolean) linear tests is also 2-biased with respect to any system of independent linear tests. Combining this result with the previous constructions of -biased sample space with respect to linear tests, we obtain the first efficient construction of discrepancy sets (i.e. two-sided pseudo-random sets) for Boolean affine spaces. We also give a different version of the powering construction of -biased sample spaces given by Alon et al in order to obtain k-wise -biased sample spaces with respect to any affine spaces. The second main contribution of this paper is a new direct connection between the efficient construction of pseudo-random (both two-sided and one-sided) sets for Boolean affine spaces and the explicit construction of Boolean functions having hard branching program complexity. In the case of 1-read branching programs (1-BrPr), this connection relies on a different interpretation of Simon and Szegedy's Theorem in terms of Boolean linear systems. Our constructions of non trivial (i.e. of cardinality Missing close brace) discrepancy sets for Boolean affine spaces of dimension greater than n2 yield a set of Boolean functions in PH having very hard 1-BrPr size. In particular, we obtain a Boolean function in Missing close brace having 1-BrPr size not smaller than 2n?4logn. This bound is tight and improves over the best previously known bound which was 2n?s where s=O(n23log13n) [SZ96]. For the more general case of non deterministic, syntactic k-read branching programs (k-BrPr), we introduce a new method to derive explicit, exponential lower bounds that envolves the efficient construction of hitting sets (i.e. one-sided pseudo-random sets) for affine spaces of dimension o(n2) . Using an ``orthogonal'' representation of small Boolean affine spaces and again the Reduction Lemma, we give the required construction of hitting sets thus obtaining an explicit Boolean function that belongs to PH and has k-BrPr size not smaller than 2n1?o(1) for any k=olognloglogn . This asymptotically improves the exponents of the previous known lower bounds given in [BRS93,J95,O93] for some range of k.
机译:我们显示以下归约引理:对于(布尔)线性检验,任何偏置的样本空间对于任何独立线性检验的系统,也都是2偏置的。将这个结果与关于线性测试的-bias样本空间的先前构造相结合,我们获得了布尔仿射空间的第一个有效的差异集(即,双面伪随机集)的构造。我们还给出了Alon等人给出的偏向样本空间的幂构造的另一种形式,以便获得相对于任何仿射空间的k向偏向样本空间。本文的第二个主要贡献是布尔仿射空间的伪随机(双面和单面)集的有效构造与具有硬分支程序复杂性的布尔函数的显式构造之间的新的直接联系。对于1读分支程序(1-BrPr),这种连接依赖于布尔线性系统对Simon和Szegedy定理的不同解释。对于大于n2的布尔仿射空间,我们的非平凡(即基数缺少紧密括号)的差异集的构造会在 PH中产生一组布尔函数,具有非常硬的1-BrPr大小。尤其是,我们在1-BrPr大小不小于2n?4logn的Missing右括号中获得了布尔函数。这个界限是紧密的,并且比先前已知的最佳界限2n?s好,其中s = O(n23log13n)[SZ96]。对于非确定性的句法k-read分支程序(k-BrPr)的更一般的情况,我们引入了一种新的方法来导出显式的指数下界,该下界包含了命中集(即单面伪随机集)的有效构造)表示尺寸为o(n2)的仿射空间。使用小布尔仿射空间的``正交''表示并再次归约引理,我们给出了命中集的必要构造,从而获得了属于 PH且k-BrPr大小不小于2n1?o的显式布尔函数。 (1)对于任何k = olognloglogn。对于某些k范围,这渐近地提高了[BRS93,J95,O93]中给定的先前已知下界的指数。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号