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INTERPOLATION IN VALIANT'S THEORY

机译:方言理论中的插值

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We investigate the following question: if a polynomial can be evaluated at rational points by a polynomial-time boolean algorithm, does it have a polynomial-size arithmetic circuit? We argue that this question is certainly difficult. Answering it negatively would indeed imply that the constant-free versions of the algebraic complexity classes VP and VNP defined by Valiant are different. Answering this question positively would imply a transfer theorem from boolean to algebraic: complexity. Our proof method relies on Lagrange interpolation and on recent results connecting the (boolean) counting hierarchy to algebraic complexity classes. As a by-product, we obtain two additional results: (i) The constant-free, degree-unbounded version of Valiant's hypothesis VP ≠ VNP implies the degree-bounded version. This result was previously known to hold for fields of positive characteristic only. (ii) If exponential sums of easy to compute polynomials can be computed efficiently, then the same is true of exponential products. We point out an application of this result to the P = NP problem in the Blum-Shub-Smale model of computation over the field of complex numbers.
机译:我们研究以下问题:如果多项式可以通过多项式时间布尔算法在有理点处求值,那么它是否具有多项式大小的算术电路?我们认为这个问题肯定是困难的。否定的回答确实意味着由Valiant定义的代数复杂度类VP和VNP的无常数版本是不同的。积极地回答这个问题将意味着从布尔型到代数型的转移定理:复杂性。我们的证明方法依赖于Lagrange插值法以及将(布尔)计数层次结构与代数复杂度类联系起来的最新结果。作为副产品,我们获得了两个附加结果:(i)Valiant假设VP≠VNP的无常数,无度界的版本表示有度界的版本。以前已知该结果仅适用于具有正特性的场。 (ii)如果可以有效地计算易于计算的多项式的指数和,则指数乘积也是如此。我们指出了该结果在复数域上的Blum-Shub-Smale计算模型中的P = NP问题上的应用。

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