DocumentCode :
3242778
Title :
Resolution complexity of independent sets in random graphs
Author :
Beame, Paul ; Impagliazzo, Russell ; Sabharwal, Ashish
Author_Institution :
Dept. of Comput. Sci. & Eng., Washington Univ., Seattle, WA, USA
fYear :
2001
fDate :
2001
Firstpage :
52
Lastpage :
68
Abstract :
We consider the problem of providing a resolution proof of the statement that a given graph with n vertices and Δn edges does not contain an independent set of size k. For randomly chosen graphs with constant Δ, we show that such proofs almost surely require size exponential in n. Further, for Δ=o(n1/5) and any k⩽n/5, we show that these proofs almost surely require size 2(nδ) for some global constant δ>0, even though the largest independent set in graphs with Δ≈n1/5 is much smaller than n/5. Our result shows that almost all instances of the independent set problem are hard for resolution. It also provides a lower bound on the running time of a certain class of search algorithms for finding a largest independent set in a given graph
Keywords :
computational complexity; graph theory; random processes; search problems; set theory; theorem proving; edges; global constant; independent sets; random graphs; resolution complexity; resolution proof; running time lower bound; search algorithms; vertices; Computer science; Ear; Encoding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Complexity, 16th Annual IEEE Conference on, 2001.
Conference_Location :
Chicago, IL
Print_ISBN :
0-7695-1053-1
Type :
conf
DOI :
10.1109/CCC.2001.933872
Filename :
933872
Link To Document :
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