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Algorithms for the ferromagnetic Potts model on expanders

  • Charlie Carlson
  • , Ewan Davies
  • , Nicolas Fraiman
  • , Alexandra Kolla
  • , Aditya Potukuchi
  • , Corrine Yap
  • Colorado State University
  • University of North Carolina at Chapel Hill
  • University of California at Santa Cruz
  • York University Toronto
  • Georgia Institute of Technology

Research output: Contribution to journalArticlepeer-review

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 languageEnglish
Pages (from-to)487-517
Number of pages31
JournalCombinatorics Probability and Computing
Volume33
Issue number4
DOIs
StatePublished - Jul 2024

Keywords

  • approximation algorithm
  • cluster expansion
  • expander graphs
  • Potts model

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