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Dynamical phase transition in the activity-biased fully-connected random field Ising model: connection with glass-forming systems
- Publication Year :
- 2021
- Publisher :
- IOP Publishing, 2021.
-
Abstract
- We analyse biased ensembles of trajectories for the random-field Ising model on a fully-connected lattice, which is described exactly by mean-field theory. By coupling the activity of the system to a dynamical biasing field, we find a range of dynamical phase transitions, including spontaneous symmetry breaking into ordered states. For weak bias, the phase behaviour is controlled by extrema of the free energy, which may be local minima or saddle points. For large bias, the system tends to states of extremal activity, which may differ strongly from free energy minima. We discuss connections of these results to random first-order transition theory of glasses, which motivates an extension of the analysis to random-field Ising models where the dynamical activity is not symmetric under magnetisation reversal.<br />26 pages, 10 figures
- Subjects :
- Paper
Statistics and Probability
Phase transition
Field (physics)
Spontaneous symmetry breaking
Phase (waves)
FOS: Physical sciences
kinetic Ising models
PAPER: Classical statistical mechanics, equilibrium and non-equilibrium
01 natural sciences
010305 fluids & plasmas
Lattice (order)
Saddle point
0103 physical sciences
Statistical physics
010306 general physics
Condensed Matter - Statistical Mechanics
Physics
Statistical Mechanics (cond-mat.stat-mech)
large deviations in non-equilibrium systems
Statistical and Nonlinear Physics
Disordered Systems and Neural Networks (cond-mat.dis-nn)
Condensed Matter - Disordered Systems and Neural Networks
glassy dynamics
Maxima and minima
ageing
slow relaxation
Ising model
Statistics, Probability and Uncertainty
slow relaxation, glassy dynamics, ageing
Subjects
Details
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....fa20628694b920760ed6a1ee5ef9669b
- Full Text :
- https://doi.org/10.17863/cam.78020