Generalized Random Energy Model at Complex Temperatures
Zakhar Kabluchko, Anton Klimovsky

TL;DR
This paper analyzes the complex-temperature behavior of the Generalized Random Energy Model (GREM), revealing phase structures, zero distributions, and confirming physics predictions through rigorous mathematical results.
Contribution
It provides a rigorous analysis of GREM at complex temperatures, describing phase phases, fluctuations, and zeros, extending prior physics-based predictions.
Findings
Identified 2-3 types of phases in GREM at complex temperatures.
Described the distribution of zeros of the partition function in the complex plane.
Confirmed the correspondence between zeros and phase transitions.
Abstract
Motivated by the Lee--Yang approach to phase transitions, we study the partition function of the Generalized Random Energy Model (GREM) at complex inverse temperature . We compute the limiting log-partition function and describe the fluctuations of the partition function. For the GREM with levels, in total, there are phases, each of which can symbolically be encoded as with such that . In phase , the first levels (counting from the root of the GREM tree) are in the glassy phase (G), the next levels are dominated by fluctuations (F), and the last levels are dominated by the expectation (E). Only the phases of the form intersect the real axis. We describe the limiting distribution of the zeros of the partition function in…
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
TopicsTheoretical and Computational Physics · Stochastic processes and statistical mechanics · Complex Network Analysis Techniques
