Sum-Of-Squares Lower Bounds for the Minimum Circuit Size Problem
2023 (English)In: 38th Computational Complexity Conference, CCC 2023, Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing , 2023, Vol. 264, article id 31Conference paper, Published paper (Refereed)
Abstract [en]
We prove lower bounds for the Minimum Circuit Size Problem (MCSP) in the Sum-of-Squares (SoS) proof system. Our main result is that for every Boolean function f : (0, 1)n → (0, 1), SoS requires degree Ω(s1−ϵ) to prove that f does not have circuits of size s (for any s > poly(n)). As a corollary we obtain that there are no low degree SoS proofs of the statement NP ⊈ P/poly. We also show that for any 0 < α < 1 there are Boolean functions with circuit complexity larger than 2nα but SoS requires size 22Ω(nα) to prove this. In addition we prove analogous results on the minimum monotone circuit size for monotone Boolean slice functions. Our approach is quite general. Namely, we show that if a proof system Q has strong enough constraint satisfaction problem lower bounds that only depend on good expansion of the constraint-variable incidence graph and, furthermore, Q is expressive enough that variables can be substituted by local Boolean functions, then the MCSP problem is hard for Q.
Place, publisher, year, edition, pages
Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing , 2023. Vol. 264, article id 31
Keywords [en]
Minimum Circuit Size Problem, Proof Complexity, Sum of Squares
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:kth:diva-335032DOI: 10.4230/LIPIcs.CCC.2023.31Scopus ID: 2-s2.0-85168421467OAI: oai:DiVA.org:kth-335032DiVA, id: diva2:1793095
Conference
38th Computational Complexity Conference, CCC 2023, Warwick, United Kingdom of Great Britain and Northern Ireland, Jul 17 2023 - Jul 20 2023
Note
Part of ISBN 9783959772822
Not duplicate with DiVA 1697947
QC 20230831
2023-08-312023-08-312023-08-31Bibliographically approved