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Paper:

TR09-040 | 20th April 2009 00:00

On convex complexity measures

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Abstract:
Khrapchenko's classical lower bound $n^2$ on the formula size of the parity function~$f$ can be interpreted as designing a suitable measure of subrectangles of the combinatorial rectangle $f^{-1}(0)\times f^{-1}(1)$. Trying to generalize this approach we arrived at the concept of \emph{convex measures}. We prove the negative result that convex measures are bounded by $O(n^2)$ and show that several measures considered for proving lower bounds on the formula size are convex. We also prove quadratic upper bounds on a class of measures that are not necessarily convex.


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