DocumentCode :
2225950
Title :
Parameterized Proof Complexity
Author :
Dantchev, Stefan ; Martin, Barnaby ; Szeider, Stefan
Author_Institution :
Durham Univ., Durham
fYear :
2007
fDate :
21-23 Oct. 2007
Firstpage :
150
Lastpage :
160
Abstract :
We propose a proof-theoretic approach for gaining evidence that certain parameterized problems are not fixed-parameter tractable. We consider proofs that witness that a given propositional CNF formula cannot be satisfied by a truth assignment that sets at most k variables to true, considering k as the parameter (we call such a formula a parameterized contradiction). One could separate the parameterized complexity classes FPT and W(M. Cesati, 2006) by showing that there is no fpt-bounded parameterized proof system, i.e., that there is no proof system that admits proofs of size f(k)nO(1) where f is a computable function and n represents the size of the propositional formula. By way of a first step, we introduce the system of parameterized tree-like resolution, and show that this system is not fpt-bounded. Indeed we give a general result on the size of shortest tree-like resolution proofs of parameterized contradictions that uniformly encode first-order principles over a universe of size n. We establish a dichotomy theorem that splits the exponential case of Riis\´s complexity-gap Theorem into two sub-cases, one that admits proofs of size f(k)nO(1) and one that does not. We also discuss how the set of parameterized contradictions may be embedded into the set of (ordinary) contradictions by the addition of new axioms. When embedded into general (DAG-like) resolution, we demonstrate that the pigeonhole principle has a proof of size 2kn2. This contrasts with the case of tree-like resolution where the embedded pigeonhole principle falls into the "non-FPT" category of our dichotomy.
Keywords :
computational complexity; trees (mathematics); complexity-gap theorem; dichotomy theorem; first-order principles encoding; parameterized contradiction; parameterized proof complexity; parameterized tree-like resolution; pigeonhole principle; propositional CNF formula; shortest tree-like resolution proofs; Algorithm design and analysis; Computer science; Councils; Design engineering; NP-hard problem; Polynomials; Turing machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Foundations of Computer Science, 2007. FOCS '07. 48th Annual IEEE Symposium on
Conference_Location :
Providence, RI
ISSN :
0272-5428
Print_ISBN :
978-0-7695-3010-9
Type :
conf
DOI :
10.1109/FOCS.2007.53
Filename :
4389488
Link To Document :
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