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Published on: November 15, 2013
Pseudo-Yang-Lee Edge Singularity Critical Behavior in a Non-Hermitian Ising Model.
Liang-Jun Zhai1, Guang-Yao Huang2, Huai-Yu Wang3
1The School of Mathematics and Physics, Jiangsu University of Technology, Changzhou 213001, China.
A new order parameter M was introduced to study quantum phase transitions in the Yang-Lee edge singularity (YLES). This parameter exhibits finite values, unlike others, indicating potential for experimental measurement.
Area of Science:
- Condensed matter physics
- Quantum phase transitions
- Statistical mechanics
Background:
- The Yang-Lee edge singularity (YLES) is a critical phenomenon in statistical mechanics.
- Understanding critical behaviors near YLES is crucial for characterizing phase transitions.
- Traditional order parameters often diverge at singularity points.
Purpose of the Study:
- To introduce and investigate a new order parameter, M, for quantum phase transitions.
- To explore the critical behaviors around the Yang-Lee edge singularity (YLES).
- To assess the applicability of scaling theories in describing the behavior of M.
Main Methods:
- Study of a one-dimensional transverse field Ising model with an imaginary longitudinal field.
- Introduction of a novel order parameter, M.
- Numerical investigation across different critical regions: (1+1)D ferromagnetic-paramagnetic phase transition, (0+1)D YLES, and (1+1)D YLES.
- Analysis of static and driven dynamics of the order parameter M.
Main Results:
- A new order parameter M was introduced, which does not diverge at the YLES point, termed pseudo-YLES.
- The scaling theories for (1+1)D ferromagnetic-paramagnetic phase transition, (0+1)D YLES, and (1+1)D YLES were found applicable to M.
- M demonstrates finite values around YLES, suggesting it is a suitable indicator for phase transitions.
Conclusions:
- The new order parameter M effectively describes critical behaviors around YLES.
- M's finite value at YLES makes it a promising candidate for quantitative experimental measurement.
- This research provides a new tool for detecting and understanding phase transitions near YLES.
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