Proceedings 16th Annual IEEE Conference on Computational Complexity
DOI: 10.1109/ccc.2001.933873
|View full text |Cite
|
Sign up to set email alerts
|

Tree resolution proofs of the weak pigeon-hole principle

Abstract: advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. Additional information:Use policyThe full-text may be used and/or reproduced, and given to third parties in any format or medium, without prior permission or charge, for personal research or study, educational, or not-for-prot purposes provided that:• a full bibliographic reference is made to … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

1
13
0

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 11 publications
(14 citation statements)
references
References 6 publications
1
13
0
Order By: Relevance
“…Thus, in total Delayer earns n 2 · Ω(log n) points during the game, yielding the lower bound. Our first proof of Theorem 2 has the advantage that it yields more precise and better bounds, namely exactly 2 n 2 log( n 2 +1) which is the same lower bound obtained by Dantchev and Riis [5]. There might also be scenarios where the adaptive definition of points according to our above information-theoretic interpretation indeed yields better asymptotic bounds.…”
Section: And There Is No I ∈ [M]supporting
confidence: 64%
See 1 more Smart Citation
“…Thus, in total Delayer earns n 2 · Ω(log n) points during the game, yielding the lower bound. Our first proof of Theorem 2 has the advantage that it yields more precise and better bounds, namely exactly 2 n 2 log( n 2 +1) which is the same lower bound obtained by Dantchev and Riis [5]. There might also be scenarios where the adaptive definition of points according to our above information-theoretic interpretation indeed yields better asymptotic bounds.…”
Section: And There Is No I ∈ [M]supporting
confidence: 64%
“…One of the best studied principles is the pigeonhole principle. Iwama and Miyazaki [7] and independently Dantchev and Riis [5] show that the pigeonhole principle requires tree-like Resolution refutations of size roughly n! while its tree-like Resolution proofs only contain balanced sub-trees of height n. Therefore the game of Pudlák and Impagliazzo only yields 0020-0190/$ -see front matter © 2010 Elsevier B.V. All rights reserved.…”
Section: Introductionmentioning
confidence: 99%
“…in the dag-like model. This is in contrast to the propositional proof complexity of PHP, which is known to be 2 (n log n) in tree-like [32], but only 2 (n) in dag-like propositional resolution [38].…”
Section: A Game-based Lower Bound Technique For Modal Resolutionmentioning
confidence: 69%
“…Its complexity in Resolution was first determined by Haken's seminal exponential lower bound [Hak85]. However, in tree-like Resolution the complexity of PHP is indeed 2 θ(n log n) as shown independently by Iwama and Miyazaki [IM99] and Dantchev and Riis [DR01]. The paper [BGL10] provides an elegant proof of this optimal n!…”
Section: Advantage Of the Asymmetric Prover-delayer Gamementioning
confidence: 92%
“…This connection with clause space complexity limits the strength of the symmetric method, since there are formulas for which the above lower bound is not tight (e.g. the classical pigeonhole principle [IM99,DR01,BGL10]). This is so because the clause space complexity of a formula F is s if and only if any proof tree for F contains a complete binary tree of height s. The gap between the size of such a minor and the size of the proof tree is exactly what the symmetric game fails to analyse.…”
Section: C∨x D∨¬x C∨dmentioning
confidence: 99%