Computer Science – Computational Complexity
Scientific paper
2012-04-12
Computer Science
Computational Complexity
23 pages, an extended abstract of this paper to appear in the proceedings of CiE 2012 conference
Scientific paper
An integer polynomial $p$ of $n$ variables is called a \emph{threshold gate} for the Boolean function $f$ of $n$ variables if for all $x \in \{0,1\}^n$ $f(x)=1$ if and only if $p(x)\geq 0$. The \emph{weight} of a threshold gate is the sum of its absolute values. In this paper we study how large weight might be needed if we fix some function and some threshold degree. We prove $2^{\Omega(2^{2n/5})}$ lower bound on this value. The best previous bound was $2^{\Omega(2^{n/8})}$ (Podolskii, 2009). In addition we present substantially simpler proof of the weaker $2^{\Omega(2^{n/4})}$ lower bound. This proof is conceptually similar to other proofs of the bounds on weights of nonlinear threshold gates, but avoids a lot of technical details arising in other proofs. We hope that this proof will help to show the ideas behind the construction used to prove these lower bounds.
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