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| Content Provider | Society for Industrial and Applied Mathematics (SIAM) |
|---|---|
| Author | Lu, Pinyan Cai, Jin-Yi Xia, Mingji |
| Copyright Year | 2017 |
| Abstract | Valiant introduced matchgate computation and holographic algorithms. A number of seemingly exponential time problems can be solved by this novel algorithmic paradigm in polynomial time. We show that, in a very strong sense, matchgate computations and holographic algorithms based on them provide a universal methodology to a broad class of counting problems studied in the statistical physics community for decades. They capture precisely those problems which are #P-hard on general graphs but computable in polynomial time on planar graphs. More precisely, we prove complexity dichotomy theorems in the framework of counting CSP problems. The local constraint functions take Boolean inputs and can be arbitrary real-valued symmetric functions. We prove that every problem in this class belongs to precisely three categories: (1) those which are tractable (i.e., polynomial time computable) on general graphs, or (2) those which are #P-hard on general graphs but tractable on planar graphs, or (3) those which are #P-hard even on planar graphs. The classification criteria are explicit. Moreover, problems in category (2) are tractable on planar graphs precisely by holographic algorithms with matchgates. |
| Sponsorship | China National 973 Program. National Natural Science Foundation of China. National Science Foundation |
| Starting Page | 853 |
| Ending Page | 889 |
| Page Count | 37 |
| File Format | |
| ISSN | 00975397 |
| DOI | 10.1137/16M1073984 |
| e-ISSN | 10957111 |
| Journal | SIAM Journal on Computing (SMJCAT) |
| Issue Number | 3 |
| Volume Number | 46 |
| Language | English |
| Publisher | Society for Industrial and Applied Mathematics |
| Publisher Date | 2017-05-11 |
| Access Restriction | Subscribed |
| Subject Keyword | Computational difficulty of problems holographic algorithms counting problems #P dichotomy theorems |
| Content Type | Text |
| Resource Type | Article |
| Subject | Mathematics Computer Science |
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