On Hardness of Multilinearization and VNP-Completeness in Characteristic 2

P. Hrubes
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引用次数: 4

Abstract

For a Boolean function f: {0, 1}n → {0, 1}, let fˆ be the unique multilinear polynomial such that f(x) = fˆ(x) holds for every x ˆ {0, 1}n. We show that, assuming VP ≠ VNP, there exists a polynomial-time computable f such that fˆ requires superpolynomial arithmetic circuits. In fact, this f can be taken as a monotone 2-CNF, or a product of affine functions. This holds over any field. To prove the results in characteristic 2, we design new VNP-complete families in this characteristic. This includes the polynomial ECn counting edge covers in a graph and the polynomial mcliquen counting cliques in a graph with deleted perfect matching. They both correspond to polynomial-time decidable problems, a phenomenon previously encountered only in characteristic ≠ 2.
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多线性化的硬度和特征2的vnp完备性
对于布尔函数f: {0,1}n→{0,1},设f -是唯一的多元线性多项式,使得f(x) = f - (x)对每个x - {0,1}n都成立。我们证明,假设VP≠VNP,存在一个多项式时间可计算的f,使得f -需要超多项式算术电路。事实上,这个f可以看作是单调的2-CNF,或者是仿射函数的乘积。这适用于任何领域。为了证明特征2中的结果,我们在该特征上设计了新的vnp -完全族。这包括图中的多项式ECn计数边盖和图中删除完美匹配的多项式mcliquen计数团。它们都对应于多项式时间可决定的问题,这种现象以前只在特征≠2时遇到过。
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