Slow relaxation, dynamic transitions and extreme value statistics in disordered systems
arXiv:0806.0350 · doi:10.1103/PhysRevE.78.011120
Abstract
We show that the dynamics of simple disordered models, like the directed Trap Model and the Random Energy Model, takes place at a coexistence point between active and inactive dynamical phases. We relate the presence of a dynamic phase transition in these models to the extreme value statistics of the associated random energy landscape.
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- Large Deviations for dynamical fluctuations of Open Markov processes, with application to random cascades on trees
- Revisiting the Ruelle thermodynamic formalism for Markov trajectories with application to the glassy phase of random trap models
- Inference of Markov models from trajectories via Large Deviations at Level 2.5 with applications to random walks in disordered media