Abstract
Strong algebraic proof systems such as IPS (Ideal Proof System; Grochow-Pitassi [J. ACM, 65(6):37:1–55, 2018]) offer a general model for deriving polynomials in an ideal and refuting unsatisfiable propositional formulas, subsuming most standard propositional proof systems. A major approach for lower bounding the size of IPS refutations is the Functional Lower Bound Method (Forbes, Shpilka, Tzameret and Wigderson [Theory Comput., 17: 1-88, 2021]), which reduces the hardness of refuting a polynomial equation f(x)=0 with no Boolean solutions to the hardness of computing the function 1/f(x) over the Boolean cube with an algebraic circuit. Using symmetry we provide a general way to obtain many new hard instances against fragments of IPS via the functional lower bound method.
| Original language | English |
|---|---|
| Title of host publication | Functional Lower Bounds in Algebraic Proofs: Symmetry, Lifting, and Barriers |
| Number of pages | 8 |
| Place of Publication | New York |
| Publisher | Association for Computing Machinery |
| Publication date | 11 Jun 2024 |
| Pages | 1396 - 1404 |
| ISBN (Print) | 979-8-4007-0383-6 |
| DOIs | |
| Publication status | Published - 11 Jun 2024 |
| Event | ACM Symposium on Theory of Computing - Vancouver, Canada Duration: 24 Jun 2024 → 28 Jun 2024 Conference number: 56 |
Conference
| Conference | ACM Symposium on Theory of Computing |
|---|---|
| Number | 56 |
| Country/Territory | Canada |
| City | Vancouver |
| Period | 24/06/2024 → 28/06/2024 |
Keywords
- ideal proof system
- proof complexity
- functional lower bound method
- algebraic circuits
- boolean cube
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