Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
Graph expansion, tseitin formulas and resolution proofs for CSP. / Itsykson, Dmitry; Oparin, Vsevolod.
Computer Science - Theory and Applications - 8th International Computer Science Symposium in Russia, CSR 2013. 2013. p. 162-173 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7913 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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TY - GEN
T1 - Graph expansion, tseitin formulas and resolution proofs for CSP
AU - Itsykson, Dmitry
AU - Oparin, Vsevolod
PY - 2013/11/29
Y1 - 2013/11/29
N2 - We study the resolution complexity of Tseitin formulas over arbitrary rings in terms of combinatorial properties of graphs. We give some evidence that an expansion of a graph is a good characterization of the resolution complexity of Tseitin formulas. We extend the method of Ben-Sasson and Wigderson of proving lower bounds for the size of resolution proofs to constraint satisfaction problems under an arbitrary finite alphabet. For Tseitin formulas under the alphabet of cardinality d we provide a lower bound d e(G)-k for tree-like resolution complexity that is stronger than the one that can be obtained by the Ben-Sasson and Wigderson method. Here k is an upper bound on the degree of the graph and e(G) is the graph expansion that is equal to the minimal cut such that none of its parts is more than twice bigger than the other. We give a formal argument why a large graph expansion is necessary for lower bounds. Let G = âŒ
AB - We study the resolution complexity of Tseitin formulas over arbitrary rings in terms of combinatorial properties of graphs. We give some evidence that an expansion of a graph is a good characterization of the resolution complexity of Tseitin formulas. We extend the method of Ben-Sasson and Wigderson of proving lower bounds for the size of resolution proofs to constraint satisfaction problems under an arbitrary finite alphabet. For Tseitin formulas under the alphabet of cardinality d we provide a lower bound d e(G)-k for tree-like resolution complexity that is stronger than the one that can be obtained by the Ben-Sasson and Wigderson method. Here k is an upper bound on the degree of the graph and e(G) is the graph expansion that is equal to the minimal cut such that none of its parts is more than twice bigger than the other. We give a formal argument why a large graph expansion is necessary for lower bounds. Let G = âŒ
UR - http://www.scopus.com/inward/record.url?scp=84888223953&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-38536-0-14
DO - 10.1007/978-3-642-38536-0-14
M3 - Conference contribution
AN - SCOPUS:84888223953
SN - 9783642385353
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 162
EP - 173
BT - Computer Science - Theory and Applications - 8th International Computer Science Symposium in Russia, CSR 2013
T2 - 8th International Computer Science Symposium in Russia, CSR 2013
Y2 - 25 June 2013 through 29 June 2013
ER -
ID: 49786016