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Perfect Matching in Random Graphs is as Hard as Tseitin
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Theoretical Computer Science, TCS.ORCID iD: 0000-0001-8217-0158
KTH, School of Electrical Engineering and Computer Science (EECS), Computer Science, Theoretical Computer Science, TCS.ORCID iD: 0000-0002-6913-3341
2022 (English)In: Theoretics, E-ISSN 2751-4838, Vol. 1, article id 2Article in journal (Refereed) Published
Abstract [en]

We study the complexity of proving that a sparse random regular graph on an odd number of vertices does not have a perfect matching, and related problems involving each vertex being matched some pre-specified number of times. We show that this requires proofs of degree Ω(n/logn) in the Polynomial Calculus (over fields of characteristic ≠2) and Sum-of-Squares proof systems, and exponential size in the bounded-depth Frege proof system. This resolves a question by Razborov asking whether the Lovász-Schrijver proof system requires nδ rounds to refute these formulas for some δ>0. The results are obtained by a worst-case to average-case reduction of these formulas relying on a topological embedding theorem which may be of independent interest.

Place, publisher, year, edition, pages
Centre pour la Communication Scientifique Directe (CCSD) , 2022. Vol. 1, article id 2
Keywords [en]
Bounded depth Frege, Perfect matching, Polynomial calculus, Proof complexity, Sum of squares, Topological embedding
National Category
Computer Sciences Discrete Mathematics
Identifiers
URN: urn:nbn:se:kth:diva-378016DOI: 10.46298/theoretics.22.2Scopus ID: 2-s2.0-105031109426OAI: oai:DiVA.org:kth-378016DiVA, id: diva2:2045424
Note

QC 20260312

Available from: 2026-03-12 Created: 2026-03-12 Last updated: 2026-03-12Bibliographically approved

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Austrin, PerRisse, Kilian

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