On the degree of polynomials that approximate symmetric boolean functions

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Abstract

In this paper, we provide matching (up to a constant factor) upper and lower bounds on the degree of polynomials that represent symmetric boolean functions within an error 1/3. Let Γ(f) = min{|2κr-n+ 1: fκ ^ fκ+l and 0 ≤ κ ≤ n - 1} where fi is the value of f on inputs with exactly i l's. We prove that the minimum degree over all the approximating polynomials of f is ⊕(√n(n - Γ(f))). We apply the techniques and tools from approximation theory to derive this result.

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APA

Paturi, R. (1992). On the degree of polynomials that approximate symmetric boolean functions. In Proceedings of the Annual ACM Symposium on Theory of Computing (Vol. Part F129722, pp. 468–474). Association for Computing Machinery. https://doi.org/10.1145/129712.129758

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