Conference item
Separations in proof complexity and TFNP
- Abstract:
- It is well-known that Resolution proofs can be efficiently simulated by Sherali– Adams (SA) proofs. We show, however, that any such simulation needs to exploit huge coefficients: Resolution cannot be efficiently simulated by SA when the coefficients are written in unary. We also show that Reversible Resolution (a variant of MaxSAT Resolution) cannot be efficiently simulated by Nullstellensatz (NS). These results have consequences for total NP search problems. First, we characterise the classes PPADS, PPAD, SOPL by unary-SA, unary-NS, and Reversible Resolution, respectively. Second, we show that, relative to an oracle, PLS ̸⊆ PPP, SOPL ̸⊆ PPA, and EOPL ̸⊆ UEOPL. In particular, together with prior work, this gives a complete picture of the black-box relationships between all classical TFNP classes introduced in the 1990s.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
Access Document
- Files:
-
-
(Preview, Accepted manuscript, pdf, 723.1KB, Terms of use)
-
- Publisher copy:
- 10.1109/FOCS54457.2022.00111
Authors
- Publisher:
- IEEE
- Host title:
- Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science (FOCS 2022)
- Journal:
- 2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS) More from this journal
- Pages:
- 1150-1161
- Publication date:
- 2022-12-28
- Acceptance date:
- 2022-07-04
- Event title:
- 63rd IEEE Annual Symposium on Foundations of Computer Science (FOCS 2022)
- Event location:
- Denver, CO, USA
- Event website:
- https://focs2022.eecs.berkeley.edu/
- Event start date:
- 2022-10-31
- Event end date:
- 2022-11-03
- DOI:
- EISSN:
-
2575-8454
- ISSN:
-
1523-8288
- EISBN:
- 9781665455190
- ISBN:
- 9781665455206
- Language:
-
English
- Keywords:
- Pubs id:
-
1285574
- Local pid:
-
pubs:1285574
- Deposit date:
-
2022-10-19
- ARK identifier:
Terms of use
- Copyright holder:
- IEEE
- Copyright date:
- 2022
- Rights statement:
- © IEEE 2022
- Notes:
- This paper will be presented at the 63rd IEEE Annual Symposium on Foundations of Computer Science (FOCS 2022), 31st October - 3rd November 2022, Denver, CO, USA. This is the accepted manuscript version of the article. The final version is available online from IEEE at: https://doi.org/10.1109/FOCS54457.2022.00111
If you are the owner of this record, you can report an update to it here: Report update to this record