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Phase transitions in two-dimensional Z(N) vector models for N>4
O Borisenko1, V Chelnokov, G Cortese
1Bogolyubov Institute for Theoretical Physics, National Academy of Sciences of Ukraine, 03680 Kiev, Ukraine. oleg@bitp.kiev.ua
This study analyzes two-dimensional Z(N) vector models, establishing critical points for phase transitions and computing critical indices. Monte Carlo simulations confirm findings for specific N values, revealing insights into scaling behavior.
Area of Science:
- Statistical physics
- Condensed matter theory
- Quantum field theory
Background:
- Renormalization group (RG) equations are crucial for understanding critical phenomena.
- Z(N) vector models provide a framework for studying phase transitions in various physical systems.
Purpose of the Study:
- To analytically and numerically investigate RG equations in 2D Z(N) vector models.
- To determine critical points and critical indices for phase transitions.
- To explore the scaling behavior of critical points with N.
Main Methods:
- Analytical investigation of renormalization group equations.
- Numerical analysis including Monte Carlo simulations.
- Computation of critical indices and analysis of helicity modulus behavior.
Main Results:
- The positions of critical points for two phase transitions in Z(N) vector models (N>4) were established.
- The critical index ν was computed.
- Monte Carlo simulations for N=7 and 17 located critical points and determined some critical indices.
- The behavior of the helicity modulus was studied for N=5, 7, and 17.
Conclusions:
- The study successfully established critical points and computed critical indices for 2D Z(N) vector models.
- Monte Carlo simulations validated analytical findings and provided further insights.
- The scaling of critical points with N was discussed, alongside open theoretical problems.
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