Approximation algorithms for two-state anti-ferromagnetic spin systems on bounded degree graphs
Alistair Sinclair, Piyush Srivastava, Marc Thurley

TL;DR
This paper extends deterministic approximation algorithms for partition functions from the hard-core model to the anti-ferromagnetic Ising model on bounded degree graphs, establishing conditions under which efficient computation is possible.
Contribution
It introduces a new approach showing weak spatial mixing implies strong spatial mixing for anti-ferromagnetic spin systems, enabling deterministic approximation schemes.
Findings
Deterministic FPTAS for anti-ferromagnetic Ising model up to critical point
Weak spatial mixing implies strong spatial mixing in these systems
Extension of message-decay method to broader class of spin systems
Abstract
In a seminal paper (Weitz, 2006), Weitz gave a deterministic fully polynomial approximation scheme for count- ing exponentially weighted independent sets (equivalently, approximating the partition function of the hard-core model from statistical physics) on graphs of degree at most d, up to the critical activity for the uniqueness of the Gibbs measure on the infinite d-regular tree. More recently Sly (Sly, 2010) showed that this is optimal in the sense that if there is an FPRAS for the hard-core partition function on graphs of maximum degree d for activities larger than the critical activity on the infinite d-regular tree then NP = RP. In this paper, we extend Weitz's approach to derive a deterministic fully polynomial approx- imation scheme for the partition function of the anti-ferromagnetic Ising model with arbitrary field on graphs of maximum degree d, up to the corresponding…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Stochastic processes and statistical mechanics · Theoretical and Computational Physics
