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- W1699655904 abstract "A polynomial identity testing algorithm must determine whether an input polynomial (given for instance by an arithmetic circuit) is identically equal to 0. In this paper, we show that a deterministic black-box identity testing algorithm for (high-degree) univariate polynomials would imply a lower bound on the arithmetic complexity of the permanent. The lower bounds that are known to follow from derandomization of (low-degree) multivariate identity testing are weaker. To obtain a lower bound for the permanent it would be su-cient to derandomize identity testing for polynomials of a very speciflc norm: sums of products of sparse polynomials with sparse coe-cients. This observation leads to new versions of the Shub-Smale ?-conjecture on integer roots of univariate polynomials. In particular, we show that a lower bound for the permanent would follow if one could give a polynomial upper bound on the number of real roots of sums of products of sparse polynomials (Descartes' rule of signs gives such a bound for sparse polynomials and products thereof). In fact the same lower bound would follow even if one could only prove a slightly superpolynomial upper bound on the number of real roots. This is a consequence of a new result on reduction to depth 4 for arithmetic circuits which we establish in a companion paper. We also show that an even weaker bound on the number of real roots would su-ce to obtain a lower bound on the size of depth 4 circuits computing the permanent. These results suggest the intriguing possibility that tools from real analysis might be brought to bear on a longstanding open problem: what is the arithmetic complexity of the permanent polynomial?" @default.
- W1699655904 created "2016-06-24" @default.
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- W1699655904 date "2010-04-28" @default.
- W1699655904 modified "2023-09-25" @default.
- W1699655904 title "Shallow Circuits with High-Powered Inputs" @default.
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