Information Geometry, Phase Transitions, and Widom Lines : Magnetic and Liquid Systems
Anshuman Dey, Pratim Roy, Tapobrata Sarkar

TL;DR
This paper explores the use of information geometry to analyze phase transitions in magnetic and liquid systems, establishing a universal microscopic characterization and identifying Widom lines through scalar curvature of thermodynamic state space.
Contribution
It introduces a geometric framework linking correlation lengths to phase transitions and Widom lines, applicable to various models including Ising, Curie-Weiss, and liquid-liquid coexistence.
Findings
Information geometry correctly describes phase behavior in mean-field models.
Correlation lengths are related to scalar curvature in thermodynamic space.
Multiple Widom lines are identified in liquid systems.
Abstract
We study information geometry of the thermodynamics of first and second order phase transitions, and beyond criticality, in magnetic and liquid systems. We establish a universal microscopic characterization of such phase transitions via the equality of correlation lengths in coexisting phases, where is related to the scalar curvature of the equilibrium thermodynamic state space. The 1-D Ising model, and the mean-field Curie-Weiss model are discussed, and we show that information geometry correctly describes the phase behavior for the latter. The Widom lines for these systems are also established. We further study a simple model for the thermodynamics of liquid-liquid phase co-existence, and show that our method provides a simple and direct way to obtain its phase behavior and the locations of the Widom lines. Our analysis points towards multiple Widom lines in liquid systems.
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
TopicsAdvanced Thermodynamics and Statistical Mechanics · Theoretical and Computational Physics · Complex Systems and Time Series Analysis
