Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
173 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
46 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Hybrid scaling mechanism of critical behavior in the overlapping critical regions of classical and quantum Yang-Lee edge singularities (2506.00919v1)

Published 1 Jun 2025 in cond-mat.stat-mech

Abstract: Recently, the study of scaling behavior in Yang-Lee edge singularities (YLES) has attracted sustained attention. However, the scaling mechanism for the overlapping critical region between classical and quantum YLES remains unclear. In this work, we investigate this question, and a hybrid scaling mechanism is introduced to characterize the scaling behavior in the overlapping regions. The hybrid scaling mechanism asserts that in the overlapping region the scaling behavior can be described by the scaling function for both critical regions simultaneously, and it results in a constraint on the scaling functions. The transverse Ising chain in an imaginary longitudinal field, which exhibits $(0+1)$ dimensional (D) and $(1+1)$ D quantum YLES phase transitions at zero temperature, and $(0+0)$ D and $(1+0)$ D classical YLES phase transitions at finite temperature, is employed as a model to test this hybrid scaling mechanism. The scaling functions in the critical regions of $(0+1)$ D and $(1+1)$ D quantum YLES as well as $(0+0)$ D and $(1+0)$ D classical YLES of such model are systematically investigated. Furthermore, the hybrid scaling mechanisms in overlapping critical regions, particularly between classical and quantum YLES, are thoroughly examined. Through this study, we have established a scaling mechanism capable of describing behaviors in the overlapping critical regions between classical and quantum phase transitions, which also facilitates the extraction of quantum phase transition information from classical phase transition systems.

Summary

We haven't generated a summary for this paper yet.