Related Experiment Video
Updated: Sep 19, 2025

06:42
Generation and Coherent Control of Pulsed Quantum Frequency Combs
Published on: June 8, 2018
9.1K
Phase transitions in the q-state clock model
Arpita Goswami1, Ravi Kumar1, Monikana Gope1
1Indian Institute of Technology, Tirupati 517619, India.
Physical Review. E
|June 19, 2025
Summary
The q-state clock model exhibits three distinct phases for large q, with transitions characterized by mean-field theory. Lower temperature transitions show characteristics of large-order symmetry breaking, while higher temperature transitions are Berezinskii-Kosterlitz-Thouless (BKT) type.
Area of Science:
- Statistical Mechanics
- Condensed Matter Physics
- Phase Transitions
Background:
- The q-state clock model, a discrete XY model, displays second-order phase transitions for q≤4 in 2D.
- The q→∞ limit corresponds to the XY model, exhibiting an infinite-order Berezinskii-Kosterlitz-Thouless (BKT) transition.
Purpose of the Study:
- To systematically investigate the q-state clock model for q≥5 using mean-field (MF) theories.
- To clarify the nature of the three predicted phases and two associated phase transitions.
Main Methods:
- Development of basic and higher-order mean-field (MF) theories.
- Systematic calculations to analyze the model's thermodynamic phases and transitions.
Main Results:
- Reaffirmation of three phases for large q: Z_q symmetric ferromagnetic (low T), emergent U(1) symmetric BKT (intermediate T), and paramagnetic (high T).
- The higher temperature transition is identified as BKT type.
- The lower temperature transition is characterized as large-order spontaneous symmetry breaking, potentially mimicking BKT characteristics.
Conclusions:
- Higher-order MF theory provides improved phase characterization by estimating spin-spin correlations.
- The study elucidates the complex phase diagram and transition behaviors of the 2D q-state clock model for large q.
Related Concept Videos
Phase Transitions
20.4K
Whether solid, liquid, or gas, a substance's state depends on the order and arrangement of its particles (atoms, molecules, or ions). Particles in the solid pack closely together, generally in a pattern. The particles vibrate about their fixed positions but do not move or squeeze past their neighbors. In liquids, although the particles are closely spaced, they are randomly arranged. The position of the particles are not fixed—that is, they are free to move past their neighbors to...
20.4K
The Quantum-Mechanical Model of an Atom
47.3K
Shortly after de Broglie published his ideas that the electron in a hydrogen atom could be better thought of as being a circular standing wave instead of a particle moving in quantized circular orbits, Erwin Schrödinger extended de Broglie’s work by deriving what is now known as the Schrödinger equation. When Schrödinger applied his equation to hydrogen-like atoms, he was able to reproduce Bohr’s expression for the energy and, thus, the Rydberg formula governing hydrogen spectra.
47.3K
Switching of BJT
504
Switching behavior in Bipolar Junction Transistors (BJTs) is a fundamental aspect utilized in various electronic circuits, particularly for digital logic applications like switches and amplifiers. In a typical switching circuit, a BJT alternates between cut-off and saturation modes, corresponding to the "off" and "on" states, respectively, thus behaving like an ideal switch.
Cut-off Mode ("Off" State): In this state, both the emitter-base and collector-base junctions are...
Cut-off Mode ("Off" State): In this state, both the emitter-base and collector-base junctions are...
504
The Bohr Model
68.2K
Following the work of Ernest Rutherford and his colleagues in the early twentieth century, the picture of atoms consisting of tiny dense nuclei surrounded by lighter and even tinier electrons continually moving about the nucleus was well established. This picture was called the planetary model since it pictured the atom as a miniature “solar system” with the electrons orbiting the nucleus like planets orbiting the sun. The simplest atom is hydrogen, consisting of a single proton as...
68.2K
Transfer Function to State Space
420
State-space representation is a powerful tool for simulating physical systems on digital computers, necessitating the conversion of the transfer function into state-space form. Consider an nth-order linear differential equation with constant coefficients, like those encountered in an RLC circuit. The state variables are selected as the output and its n−1 derivatives. Differentiating these variables and substituting them back into the original equation produces the state equations.
In an...
In an...
420
State Space to Transfer Function
313
The conversion of state-space representation to a transfer function is a fundamental process in system analysis. It provides a method for transitioning from a time-domain description to a frequency-domain representation, which is crucial for simplifying the analysis and design of control systems.
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
The transformation process begins with the state-space representation, characterized by the state equation and the output equation. These equations are typically represented as:
313

