The Kibble–Zurek mechanism (KZM) describes the non-equilibrium dynamics and the formation of topological defects in a system which is driven through a continuous phase transition at finite rate. It is named after Tom W. B. Kibble, who pioneered the study of domain structure formation in the early universe, and Wojciech H. Zurek, who related the number of defects it creates to the critical exponents of the transition and to its rate - to how quickly the critical point is traversed.
The mechanism exploits the critical slowing down in the neighbourhood of the critical point, this is, the divergence of the relaxation time of the system. As the system approaches the critical point from the high symmetry phase, its dynamics becomes increasingly slow, and eventually ceases to be adiabatic. Under a linear quench of the control parameter, this happens at the freeze-out time scale, when the relaxation time matches the time left for the system to reach the critical point. KZM predicts the typical size of the domains in the broken symmetry phase to be fixed by the value of the equilibrium correlation length at freeze-out time. The inverse of this length scale can be used as an estimate of the density of topological defects, and it obeys a power law in the quench rate. This prediction is universal, and the power exponent is given in terms of the critical exponents of the transition.
The KZM generally applies to spontaneous symmetry breaking scenarios where a global symmetry is broken. For gauge symmetries defect formation can arise through the KZM and the flux trapping mechanism proposed by Hindmarsh and Rajantie. In 2005, it was shown that KZM describes as well the dynamics through a quantum phase transition.
The mechanism also applies in the presence of inhomogeneities, ubiquitous in condensed matter experiments, to both classical, quantum phase transitions and even in optics.
Let us consider a system that undergoes a continuous phase transition at the critical value of a control parameter. The theory of critical phenomena states that, as the control parameter is tuned closer and closer to its critical value, the correlation length and the relaxation time of the system tend to diverge as