{"title":"Reversible Pebble Games and the Relation Between Tree-Like and General Resolution Space","authors":"J. Torán, Florian Wörz","doi":"10.4230/LIPIcs.STACS.2020.60","DOIUrl":null,"url":null,"abstract":"We show a new connection between the clause space measure in tree-like resolution and the reversible pebble game on graphs. Using this connection, we provide several formula classes for which there is a logarithmic factor separation between the clause space complexity measure in tree-like and general resolution. We also provide upper bounds for tree-like resolution clause space in terms of general resolution clause and variable space. In particular, we show that for any formula F , its tree-like resolution clause space is upper bounded by space $$(\\pi)$$ ( π ) $$(\\log({\\rm time}(\\pi))$$ ( log ( time ( π ) ) , where $$\\pi$$ π is any general resolution refutation of F . This holds considering as space $$(\\pi)$$ ( π ) the clause space of the refutation as well as considering its variable space. For the concrete case of Tseitin formulas, we are able to improve this bound to the optimal bound space $$(\\pi)\\log n$$ ( π ) log n , where n is the number of vertices of the corresponding graph","PeriodicalId":51005,"journal":{"name":"Computational Complexity","volume":"30 1","pages":"1-37"},"PeriodicalIF":0.7000,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Complexity","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.4230/LIPIcs.STACS.2020.60","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 2
Abstract
We show a new connection between the clause space measure in tree-like resolution and the reversible pebble game on graphs. Using this connection, we provide several formula classes for which there is a logarithmic factor separation between the clause space complexity measure in tree-like and general resolution. We also provide upper bounds for tree-like resolution clause space in terms of general resolution clause and variable space. In particular, we show that for any formula F , its tree-like resolution clause space is upper bounded by space $$(\pi)$$ ( π ) $$(\log({\rm time}(\pi))$$ ( log ( time ( π ) ) , where $$\pi$$ π is any general resolution refutation of F . This holds considering as space $$(\pi)$$ ( π ) the clause space of the refutation as well as considering its variable space. For the concrete case of Tseitin formulas, we are able to improve this bound to the optimal bound space $$(\pi)\log n$$ ( π ) log n , where n is the number of vertices of the corresponding graph
期刊介绍:
computational complexity presents outstanding research in computational complexity. Its subject is at the interface between mathematics and theoretical computer science, with a clear mathematical profile and strictly mathematical format.
The central topics are:
Models of computation, complexity bounds (with particular emphasis on lower bounds), complexity classes, trade-off results
for sequential and parallel computation
for "general" (Boolean) and "structured" computation (e.g. decision trees, arithmetic circuits)
for deterministic, probabilistic, and nondeterministic computation
worst case and average case
Specific areas of concentration include:
Structure of complexity classes (reductions, relativization questions, degrees, derandomization)
Algebraic complexity (bilinear complexity, computations for polynomials, groups, algebras, and representations)
Interactive proofs, pseudorandom generation, and randomness extraction
Complexity issues in:
crytography
learning theory
number theory
logic (complexity of logical theories, cost of decision procedures)
combinatorial optimization and approximate Solutions
distributed computing
property testing.