Beyond Talagrand Functions: New Lower Bounds for Testing Monotonicity and Unateness
(1702.06997)Abstract
We prove a lower bound of $\tilde{\Omega}(n{1/3})$ for the query complexity of any two-sided and adaptive algorithm that tests whether an unknown Boolean function $f:{0,1}n\rightarrow {0,1}$ is monotone or far from monotone. This improves the recent bound of $\tilde{\Omega}(n{1/4})$ for the same problem by Belovs and Blais [BB15]. Our result builds on a new family of random Boolean functions that can be viewed as a two-level extension of Talagrand's random DNFs. Beyond monotonicity, we also prove a lower bound of $\tilde{\Omega}(n{2/3})$ for any two-sided and adaptive algorithm, and a lower bound of $\tilde{\Omega}(n)$ for any one-sided and non-adaptive algorithm for testing unateness, a natural generalization of monotonicity. The latter matches the recent linear upper bounds by Khot and Shinkar [KS15] and by Chakrabarty and Seshadhri [CS16].
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