From small space to small width in resolution
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From small space to small width in resolution. / Filmus, Yuval; Lauria, Massimo; Mikša, Mladen; Nordström, Jakob; Vinyals, Marc.
31st International Symposium on Theoretical Aspects of Computer Science, STACS 2014. ed. / Natacha Portier; Ernst W. Mayr. Vol. 25 Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, 2014. p. 300-311.Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
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TY - GEN
T1 - From small space to small width in resolution
AU - Filmus, Yuval
AU - Lauria, Massimo
AU - Mikša, Mladen
AU - Nordström, Jakob
AU - Vinyals, Marc
PY - 2014/3/1
Y1 - 2014/3/1
N2 - In 2003, Atserias and Dalmau resolved a major open question about the resolution proof system by establishing that the space complexity of formulas is always an upper bound on the width needed to refute them. Their proof is beautiful but somewhat mysterious in that it relies heavily on tools from finite model theory. We give an alternative, completely elementary, proof that works by simple syntactic manipulations of resolution refutations. As a by-product, we develop a "black-box" technique for proving space lower bounds via a "static" complexity measure that works against any resolution refutation-previous techniques have been inherently adaptive. We conclude by showing that the related question for polynomial calculus (i.e., whether space is an upper bound on degree) seems unlikely to be resolvable by similar methods.
AB - In 2003, Atserias and Dalmau resolved a major open question about the resolution proof system by establishing that the space complexity of formulas is always an upper bound on the width needed to refute them. Their proof is beautiful but somewhat mysterious in that it relies heavily on tools from finite model theory. We give an alternative, completely elementary, proof that works by simple syntactic manipulations of resolution refutations. As a by-product, we develop a "black-box" technique for proving space lower bounds via a "static" complexity measure that works against any resolution refutation-previous techniques have been inherently adaptive. We conclude by showing that the related question for polynomial calculus (i.e., whether space is an upper bound on degree) seems unlikely to be resolvable by similar methods.
KW - PCR
KW - Polynomial calculus
KW - Proof complexity
KW - Resolution
KW - Space
KW - Width
UR - http://www.scopus.com/inward/record.url?scp=84907818998&partnerID=8YFLogxK
U2 - 10.4230/LIPIcs.STACS.2014.300
DO - 10.4230/LIPIcs.STACS.2014.300
M3 - Article in proceedings
AN - SCOPUS:84907818998
VL - 25
SP - 300
EP - 311
BT - 31st International Symposium on Theoretical Aspects of Computer Science, STACS 2014
A2 - Portier, Natacha
A2 - Mayr, Ernst W.
PB - Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing
T2 - 31st International Symposium on Theoretical Aspects of Computer Science, STACS 2014
Y2 - 5 March 2014 through 8 March 2014
ER -
ID: 251869919