Lower Bounds for DeMorgan Circuits of Bounded Negation Width

被引:0
作者
Jukna, Stasys [1 ,2 ]
Lingas, Andrzej [3 ]
机构
[1] Goethe Univ Frankfurt, Inst Comp Sci, Frankfurt, Germany
[2] Vilnius Univ, Inst Data Sci & Digital Technol, Vilnius, Lithuania
[3] Lund Univ, Dept Comp Sci, Box 118, S-22100 Lund, Sweden
来源
36TH INTERNATIONAL SYMPOSIUM ON THEORETICAL ASPECTS OF COMPUTER SCIENCE (STACS 2019) | 2019年
关键词
Boolean circuits; monotone circuits; lower bounds; MONOTONE CIRCUITS; APPROXIMATION; COMPLEXITY; DEPTH;
D O I
10.4230/LIPIcs.STACS.2019.41
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
We consider Boolean circuits over {boolean OR, boolean AND, (sic)} with negations applied only to input variables. To measure the "amount of negation" in such circuits, we introduce the concept of their "negation width." In particular, a circuit computing a monotone Boolean function f(x(1), ... , x(n)) has negation width w if no nonzero term produced (purely syntactically) by the circuit contains more than w distinct negated variables. Circuits of negation width w = 0 are equivalent to monotone Boolean circuits, while those of negation width w = n have no restrictions. Our motivation is that already circuits of moderate negation width w = n(epsilon) for an arbitrarily small constant epsilon > 0 can be even exponentially stronger than monotone circuits. We show that the size of any circuit of negation width w computing f is roughly at least the minimum size of a monotone circuit computing f divided by K = min{w(m), m(w)}, where m is the maximum length of a prime implicant of f. We also show that the depth of any circuit of negation width w computing f is roughly at least the minimum depth of a monotone circuit computing f minus logK. Finally, we show that formulas of bounded negation width can be balanced to achieve a logarithmic (in their size) depth without increasing their negation width.
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页数:17
相关论文
共 34 条
[1]   THE MONOTONE CIRCUIT COMPLEXITY OF BOOLEAN FUNCTIONS [J].
ALON, N ;
BOPPANA, RB .
COMBINATORICA, 1987, 7 (01) :1-22
[2]   The potential of the approximation method [J].
Amano, K ;
Maruoka, A .
SIAM JOURNAL ON COMPUTING, 2004, 33 (02) :433-447
[3]  
[Anonymous], 2011, ENCY MATH ITS APPL
[4]  
[Anonymous], 1987, The complexity of Boolean functions
[5]  
Blais Eric, 2015, Algorithms and Techniques, P512
[6]   PARALLEL EVALUATION OF ARITHMETIC EXPRESSIONS WITHOUT DIVISION [J].
BRENT, R ;
KUCK, D ;
MARUYAMA, K .
IEEE TRANSACTIONS ON COMPUTERS, 1973, C 22 (05) :532-534
[7]  
Dunne P.E., 1992, BOOLEAN FUNCTION COM, V169, P1
[8]   AN APPLICATION OF SIMULTANEOUS DIOPHANTINE APPROXIMATION IN COMBINATORIAL OPTIMIZATION [J].
FRANK, A ;
TARDOS, E .
COMBINATORICA, 1987, 7 (01) :49-65
[9]  
Gall F. L., 2014, P 39 INT S SYMBOLIC, P296, DOI 10.1145/2608628.2608664
[10]   THE ELLIPSOID METHOD AND ITS CONSEQUENCES IN COMBINATORIAL OPTIMIZATION [J].
GROTSCHEL, M ;
LOVASZ, L ;
SCHRIJVER, A .
COMBINATORICA, 1981, 1 (02) :169-197