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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Ben-Sasson, E. Nordstrom, J. |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Comput. Sci. & Commun., R. Inst. of Technol., Stockholm (Nordstrom, J.) || Comput. Sci. Dept. Technion, Technion - Israel Inst. of Technol., Haifa (Ben-Sasson, E.) |
| Abstract | A number of works have looked at the relationship between length and space of resolution proofs. A notorious question has been whether the existence of a short proof implies the existence of a proof that can be verified using limited space.In this paper we resolve the question by answering it negatively in the strongest possible way. We show that there are families of 6-CNF formulas of size n, for arbitrarily large n, that have resolution proofs of length O(n) but for which any proof requires space Omega(n/log n). This is the strongest asymptotic separation possible since any proof of length O(n) can always be transformed into a proof in space O(n / log n).Our result follows by reducing the space complexity of so called pebbling formulas over a directed acyclic graph to the black-white pebbling price of the graph.The proof is somewhat simpler than previous results (in particular, those reported in [Nordstrom 2006, Nordstrom and Hastad 2008]) as it uses a slightly different flavor of pebbling formulas which allows for a rather straightforward reduction of proof space to standard black-white pebbling price. |
| Starting Page | 709 |
| Ending Page | 718 |
| File Size | 355293 |
| Page Count | 10 |
| File Format | |
| ISBN | 9780769534367 |
| ISSN | 02725428 |
| DOI | 10.1109/FOCS.2008.42 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-25 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Space technology Computer science Extraterrestrial measurements Length measurement Size measurement Polynomials pebbling games Proof complexity resolution space complexity |
| Content Type | Text |
| Resource Type | Article |
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