Contraction: a Unified Perspective of Correlation Decay and Zero-Freeness of 2-Spin Systems
Shuai Shao, Yuxin Sun
TL;DR
This work treats $Z_G(\beta,\gamma,\lambda)$ as a multivariate complex polynomial and identifies new zero-free regions where all three parameters are complex. It proves correlation decay (strong spatial mixing) persists in these regions and gives an FPTAS for bounded-degree graphs via Weitz or Barvinok methods. A central concept, contraction, unifies zero-freeness and correlation decay, and the authors extend real-contraction results to complex neighborhoods using analytic continuation and the inverse function theorem. They explicitly define four real-parameter sets $\mathcal{S}^{\Delta}_i$ that admit real contraction and show a neighborhood around each point preserves zero-freeness and decay. The work thus links two notions of phase transition in 2-spin systems in a unified, algorithmically actionable way.
Abstract
We study complex zeros of the partition function of 2-spin systems, viewed as a multivariate polynomial in terms of the edge interaction parameters and the uniform external field. We obtain new zero-free regions in which all these parameters are complex-valued. Crucially based on the zero-freeness, we show the existence of correlation decay in these regions. As a consequence, we obtain an FPTAS for computing the partition function of 2-spin systems on graphs of bounded degree for these parameter settings. We introduce the contraction property as a unified sufficient condition to devise FPTAS via either Weitz's algorithm or Barvinok's algorithm. Our main technical contribution is a very simple but general approach to extend any real parameter of which the 2-spin system exhibits correlation decay to its complex neighborhood where the partition function is zero-free and correlation decay still exists. This result formally establishes the inherent connection between two distinct notions of phase transition for 2-spin systems: the existence of correlation decay and the zero-freeness of the partition function via a unified perspective, contraction.
