Near-optimal lower bounds on the threshold degree and sign-rank of AC0.

PROCEEDINGS OF THE 51ST ANNUAL ACM SIGACT SYMPOSIUM ON THEORY OF COMPUTING (STOC '19)(2019)

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摘要
The threshold degree of a Boolean function f : {0, 1}(n) -> {0, 1} is the minimum degree of a real polynomial p that represents f in sign: sgn p(x) = (-1)(f(x)). A related notion is sign-rank, defined for a Boolean matrix F = [F-ij] as the minimum rank of a real matrix M with sgn M-ij = (-1)(Fij). Determining the maximum threshold degree and sign-rank achievable by constant-depth circuits (AC(0)) is a well-known and extensively studied open problem, with complexity-theoretic and algorithmic applications. We give an essentially optimal solution to this problem. For any epsilon > 0, we construct an AC(0) circuit in n variables that has threshold degree Omega(n(1-c)) and sign-rank exp(Omega(n(1-c))), improving on the previous best lower bounds of Omega(root n) and exp((Omega) over tilde(root n)), respectively. Our results subsume all previous lower bounds on the threshold degree and sign-rank of AC(0) circuits of any given depth, with a strict improvement starting at depth 4. As a corollary, we also obtain near-optimal bounds on the discrepancy, threshold weight, and threshold density of AC(0), strictly subsuming previous work on these quantities. Our work gives some of the strongest lower bounds to date on the communication complexity of AC(0).
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关键词
constant-depth circuits,threshold degree,sign-representation by polynomials,sign-rank,communication complexity,unbounded-error communication
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