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A $2.5n$-Lower Bound on the Combinational Complexity of Boolean Functions
Author(s) -
Wolfgang J. Paul
Publication year - 1977
Publication title -
siam journal on computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.533
H-Index - 122
eISSN - 1095-7111
pISSN - 0097-5397
DOI - 10.1137/0206030
Subject(s) - boolean function , mathematics , boolean circuit , sequence (biology) , combinatorics , circuit complexity , upper and lower bounds , discrete mathematics , computational complexity theory , omega , time complexity , complexity index , binary logarithm , boolean expression , combinational logic , algorithm , logic gate , electronic circuit , mathematical analysis , electrical engineering , engineering , genetics , physics , quantum mechanics , biology
Consider the combinational complexity $L(f)$ of Boolean functions over the basis $\Omega = \{ f|f:\{ 0,1\} ^2 \to \{ 0,1\} \} $. A new method for proving linear lower bounds of size $2n$ is presented. Combining it with methods presented in Savage [13, (1974)] and Schnorr [18, (1974)], we establish for a special sequence of functions $f_n :\{ 0,1\} ^{n + 2\log (n) + 1} \to \{ 0,1\} :2.5n \leqq L(f) \leqq 6n$. Also a trade-off result between circuit complexity and formula size is derived.

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