Canonical Criterion for Third-Order Transitions
Fangfang Wang, Wei Liu, Kai Qi, Zidong Cui, Ying Tang, Zengru Di

TL;DR
This paper introduces a fluctuation-based canonical framework for identifying third-order phase transitions using energy cumulants, providing a practical and broadly applicable method that links microcanonical and canonical descriptions.
Contribution
It establishes a new canonical criterion for third-order transitions based on cumulant ratios, connecting microcanonical and canonical formalisms without requiring density-of-states reconstruction.
Findings
The criterion accurately detects third-order transitions in various models.
It remains operational in nonequilibrium steady states.
The framework is validated on multiple statistical physics models.
Abstract
Microcanonical inflection-point analysis (MIPA) identifies third-order transitions from derivatives of the microcanonical entropy, but whether such transitions admit a direct canonical formulation has remained unclear. Here we establish a fluctuation-based canonical framework for third-order transitions through a cumulant-ratio criterion whose signed extrema define their canonical counterparts and, in the single-saddle regime, are asymptotically linked to microcanonical classification. Because the criterion depends only on energy cumulants, it avoids explicit density-of-states reconstruction and remains operational in nonequilibrium steady states. Physically, it reveals dependent and independent third-order transitions as fluctuation reorganizations around low-order transitions, namely disordered-side precursors and ordered-side restructuring. Benchmarks on Onsager's two-dimensional…
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
TopicsQuantum many-body systems · Theoretical and Computational Physics · Statistical Mechanics and Entropy
