Affine dispersers from subspace polynomials

Affine dispersers from subspace polynomials
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DOI:
10.1145/1536414.1536426
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发表时间:
2009-05
期刊:
Electron. Colloquium Comput. Complex.
影响因子:
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通讯作者:
Eli Ben-Sasson;Swastik Kopparty
Eli Ben-Sasson;Swastik Kopparty
中科院分区:
其他
文献类型:
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作者:
Eli Ben-Sasson;Swastik Kopparty

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对于维数为d的源,F2n上的仿射分散器是一个函数f: F2n→F2,使得对于任何至少维数为d的仿射空间S≤F2n,在S} = F2中有{f(S): S。在从不完全随机性的结构化来源中确定性地提取随机性的背景下,已经考虑了仿射分散体。以前,由于Barak等人[2]和Bourgain[10](后者实际上给出了更强的对象,称为仿射提取器),已知每个d = Ω(n)的仿射分散器的显式结构。本文首次给出了次线性维的显式仿射色散。具体来说,我们的分散器即使在d = Ω(n4/5)时也能工作。我们的构造的主要新颖之处在于证明方法,它依赖于子空间多项式的初等性质。相比之下,前面提到的工作依赖于有限域的和积定理。
An affine disperser over F2n for sources of dimension d is a function f: F2n → F2 such that for any affine space S ⊆ F2n of dimension at least d, we have {f(s) : s in S} = F2. Affine dispersers have been considered in the context of deterministic extraction of randomness from structured sources of imperfect randomness. Previously, explicit constructions of affine dispersers were known for every d = Ω(n), due to Barak et. al.[2] and Bourgain[10] (the latter in fact gives stronger objects called affine extractors). In this work we give the first explicit affine dispersers for sublinear dimension. Specifically, our dispersers work even when d = Ω(n4/5). The main novelty in our construction lies in the method of proof, which relies on elementary properties of subspace polynomials. In contrast, the previous works mentioned above relied on sum-product theorems for finite fields.