Abstract | ||
---|---|---|
We study the problem of obtaining lower bounds for polynomial calculus (PC) and polynomial calculus resolution (PCR) on proof degree, and hence by [Impagliazzo et al. '99] also on proof size. [Alekhnovich and Razborov '03] established that if the clause-variable incidence graph of a CNF formula F is a good enough expander, then proving that F is unsatisfiable requires high PC/PCR degree. We further develop the techniques in [AR03] to show that if one can \"cluster\" clauses and variables in a way that \"respects the structure\" of the formula in a certain sense, then it is sufficient that the incidence graph of this clustered version is an expander. As a corollary of this, we prove that the functional pigeonhole principle (FPHP) formulas require high PC/PCR degree when restricted to constant-degree expander graphs. This answers an open question in [Razborov '02], and also implies that the standard CNF encoding of the FPHP formulas require exponential proof size in polynomial calculus resolution. Thus, while Onto-FPHP formulas are easy for polynomial calculus, as shown in [Riis '93], both FPHP and Onto-PHP formulas are hard even when restricted to bounded-degree expanders. |
Year | DOI | Venue |
---|---|---|
2015 | 10.4230/LIPIcs.CCC.2015.467 | Electronic Colloquium on Computational Complexity (ECCC) |
Keywords | Field | DocType |
Proof complexity,polynomial calculus,polynomial calculus resolution,PCR,degree,size,functional pigeonhole principle,lower bound | Discrete mathematics,Combinatorics,Expander graph,Exponential function,Upper and lower bounds,Degree of a polynomial,Matrix polynomial,Proof complexity,Corollary,Mathematics,Pigeonhole principle | Journal |
Volume | ISSN | Citations |
22 | 1868-8969 | 5 |
PageRank | References | Authors |
0.38 | 23 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mladen Miksa | 1 | 19 | 1.98 |
Jakob Nordström | 2 | 177 | 21.76 |