Abstract
We give algorithms for approximating the partition function of the ferromagnetic q-color Potts model on graphs of maximum degree d. Our primary contribution is a fully polynomial-time approximation scheme for d-regular graphs with an expansion condition at low temperatures (that is, bounded away from the order-disorder threshold). The expansion condition is much weaker than in previous works; for example, the expansion exhibited by the hypercube suffices. The main improvements come from a significantly sharper analysis of standard polymer models; we use extremal graph theory and applications of Karger’s algorithm to count cuts that may be of independent interest. It is #BIS-hard to approximate the partition function at low temperatures on bounded-degree graphs, so our algorithm can be seen as evidence that hard instances of #BIS are rare. We also obtain efficient algorithms in the Gibbs uniqueness region for bounded-degree graphs. While our high-temperature proof follows more standard polymer model analysis, our result holds in the largest-known range of parameters d and q.
| Original language | English |
|---|---|
| Pages (from-to) | 487-517 |
| Number of pages | 31 |
| Journal | Combinatorics Probability and Computing |
| Volume | 33 |
| Issue number | 4 |
| DOIs | |
| State | Published - Jul 2024 |
Keywords
- approximation algorithm
- cluster expansion
- expander graphs
- Potts model
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