The Geometry of Fixed-Magnetization Spin Systems at Low Temperature
Jacob Calvert, Shunhao Oh, Dana Randall

TL;DR
This paper investigates the geometric structure of fixed-magnetization spin systems at low temperature, revealing that spins form large uniform regions separated by minimal boundaries, with implications for physics and biological modeling.
Contribution
It extends Pirogov--Sinai theory to analyze the geometry of fixed-magnetization spin systems in the Generalized Potts Model, a significant advance over prior variable-magnetization results.
Findings
Spins form large homogeneous regions separated by near-minimal boundaries.
The analysis applies to a broad class of models including Ising, Potts, and biological models.
New techniques compare fixed- and variable-magnetization partition functions.
Abstract
Spin systems are fundamental models of statistical physics that provide insight into collective behavior across scientific domains. Their interest to computer science stems in part from the deep connection between the phase transitions they exhibit and the computational complexity of sampling from the probability distributions they describe. Our focus is on the geometry of spin configurations, motivated by applications to programmable matter and computational biology. Rigorous results in this vein are scarce because the natural setting of these applications is the low-temperature, fixed-magnetization regime. Recent progress in this regime is largely limited to spin systems under which magnetization concentrates, which enables the analysis to be reduced to that of the simpler, variable-magnetization case. More complicated models, like those that arise in applications, do not share this…
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
TopicsCharacterization and Applications of Magnetic Nanoparticles
