ACM Home Page
Please provide us with feedback. Feedback
Exponential lower bounds for restricted monotone circuits
Full text PdfPdf (460 KB)
Source Annual ACM Symposium on Theory of Computing archive
Proceedings of the fifteenth annual ACM symposium on Theory of computing table of contents
Pages: 110 - 117  
Year of Publication: 1983
ISBN:0-89791-099-0
Author
Sponsor
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 4,   Downloads (12 Months): 25,   Citation Count: 7
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/800061.808739
What is a DOI?

ABSTRACT

In this paper we consider monotone Boolean circuits with three alternations, in the order “or”, “and”, “or.” Whenever the number of alternations is limited to a fixed constant the formula and circuit size measures are polynomially related to each other. We shall therefore refer to this measure interchangeably as &Sgr;&pgr;&Sgr;-formula size or &Sgr;&pgr;&Sgr;-circuit size. We shall prove that any such circuit or formula for detecting the existence of cliques in an N-node graph has at least 2&Ohgr;(N&egr;) gates for some &egr; > 0 independent of N.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
S. Berkowitz. Personal communication. (1982)
 
2
M. Furst, J.B. Saxe, and M. Sipser. Parity, circuits and the polynomial time hierarchy. Proc. 22nd IEEE Symp. on Foundations of Computer Science (1981) 260-270.
3
 
4
E.A. Lamagna and J.E. Savage. Combinatorial complexity of some monotone functions. Proc. 15th IEEE Symposium on Switching and Automata Theory (1974) 140-144.
 
5
K. Mehlhorn and Z. Galil. Monotone switching circuits and Boolean matrix product. Computing 16 (1976) 99-111.
 
6
M.S. Paterson. Complexity of monotone networks for Boolean matrix product. Theor. Comp. Sci. 1 (1975) 13-20.
 
7
V.R. Pratt. The power of negative thinking in multiplying Boolean matrices. SIAM J. Computing 4 (1975) 326-330.
 
8
 
9
C.P. Schnorr. A lower bound on the number of additions in monotone computations. TCS 2 (1976) 305-315.
 
10
E. Shamir and M. Snir. Lower bounds on the number of multiplications and the number of additions in monotone computations. Tech. Rep. RC6757, T.J. Watson Research Center, IBM (1977).
 
11
S. Skyum and L.G. Valiant. A complexity theory based on Boolean algebra, Proc. 22nd IEEE Symp. on Foundations of Computer Science (1981) 244-254.
 
12
L.G. Valiant. Negation can be exponentially powerful. TCS 12 (1980) 303-314.
13
 
14
L.G. Valiant. Graph-theoretic arguments in low-level complexity. Lecture Notes in Computer Science, Springer Verlag, Vol 53 (1977) 162-176.
 
15
I. Wegner. Boolean functions whose monotone complexity is of size n2/log n. TCS 21 (1982) 213-224.