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首页> 外文期刊>SIAM Journal on Computing >PSEUDORANDOM GENERATORS WITH LONG STRETCH AND LOW LOCALITY FROM RANDOM LOCAL ONE-WAY FUNCTIONS?
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PSEUDORANDOM GENERATORS WITH LONG STRETCH AND LOW LOCALITY FROM RANDOM LOCAL ONE-WAY FUNCTIONS?

机译:随机局部单向函数具有长拉伸和低局部性的伪随机生成器?

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We continue the study of locally computable pseudorandom generators (PRGs) G: {0, 1}~n → {0, 1}~m such that each of their outputs depends on a small number d of input bits. While it is known that such generators are likely to exist for the case of small sublinear stretch m = n + n~(1-δ), it is less clear whether achieving larger stretch such as m = n + Ω(n) or even m = n1+δ is possible. The existence of such PRGs, which was posed as an open question in previous works, has recently gained an additional motivation due to several interesting applications. We make progress towards resolving this question by obtaining several local constructions based on the onewayness of "random" local functions-a variant of an assumption made by Goldreich [Candidate one-way functions based on exporter graphs, 7 (ECCC 2000), TRCO-090]. Specifically, we construct collections of PRGs with the following parameters: (1) linear stretch m = n + Ω(n) and constant locality d = O(1); (2) polynomial stretch m = n~(1+δ) and any (arbitrarily slowly growing) superconstant locality d = ω(1), e.g., log~★ n; (3) polynomial stretch m = n~(1+δ), constant locality d = O(1), and inverse polynomial distinguishing advantage (as opposed to the standard case of n~(-ω(1))). Our constructions match the parameters achieved by previous "ad hoc" candidates and are the first to do this under a one-wayness assumption. At the core of our results lies a new search-to-decision reduction for random local functions. This reduction also shows that some of the previous PRG candidates can be based on one-wayness assumptions. Altogether, our results fortify the existence of local PRGs of long stretch. As an additional contribution, we show that our constructions give rise to strong inapproximability results for the densest-subgraph problem in d-uniform hypergraphs for constant d. This allows us to improve the previous bounds of Feige [Relations between average case complexity and approximation complexity, in Proceedings of STOC 2002, pp. 534-543] and Khot [Ruling out PTAS for graph min-bisection-densest subgraph and bipartate clique, in Proceedings of FOCS 2004, pp. 136-145] from constant inapproximability factor to nε-inapproximability, at the expense of relying on stronger assumptions.
机译:我们继续研究局部可计算的伪随机发生器(PRG)G:{0,1}〜n→{0,1}〜m,使得它们的每个输出都取决于少量的输入位d。虽然已知在小亚线性拉伸m = n + n〜(1-δ)的情况下很可能存在这样的生成器,但还不清楚是否要实现更大的拉伸,例如m = n +Ω(n)甚至是m = n1 +δ是可能的。这种PRG的存在在以前的工作中曾是一个未解决的问题,但由于一些有趣的应用,最近又获得了更多的动力。我们通过基于“随机”局部函数的单向性获得几种局部构造来解决该问题,这是Goldreich假设的一种变体[基于出口商图的候选单向函数,第7页(ECCC 2000),TRCO- 090]。具体来说,我们使用以下参数构建PRG的集合:(1)线性拉伸m = n +Ω(n)和恒定局部性d = O(1); (2)多项式拉伸m = n〜(1 +δ)和任何(任意缓慢增长的)超恒定局部d =ω(1),例如log〜★n; (3)多项式拉伸m = n〜(1 +δ),恒定局部性d = O(1),以及多项式求逆的优势(与n〜(-ω(1)的标准情况相反))。我们的构造与以前的“临时”候选者所达到的参数匹配,并且是第一个在单向假设下做到这一点的人。我们结果的核心是针对随机局部函数的新的搜索决策减少量。这种减少还表明,某些先前的PRG候选者可以基于单向假设。总之,我们的结果加强了长期存在的地方PRG的存在。作为一项额外的贡献,我们证明了对于常数d的d一致超图中的最密子图问题,我们的构造引起了很强的不可逼近结果。这使我们能够改进Feige的先前边界(STOC 2002,pp.534-543,平均事例复杂度和近似复杂度之间的关系)和Khot(为最小二等分密度子图和二分集团确定图的PTAS, [FOCS 2004,第136-145页]从恒定的不可逼近因子变为nε-不可逼近,但要以依赖更强的假设为代价。

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