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Multicriticality in stochastic dynamics protected by self-duality
Konstantinos Sfairopoulos1, Luke Causer1, Juan P Garrahan1
1University of Nottingham, University of Nottingham, School of Physics and Astronomy, Nottingham NG7 2RD, United Kingdom and Centre for the Mathematics and Theoretical Physics of Quantum Non-Equilibrium Systems, Nottingham NG7 2RD, United Kingdom.
This study reveals dynamical phases in one-dimensional kinetically constrained models (KCMs) using trajectory phase diagrams. Multicritical points are identified, separating distinct active-inactive transition lines.
Area of Science:
- Statistical mechanics
- Complex systems dynamics
Background:
- Recent interest in multicritical behavior in stochastic systems.
- Kinetically constrained models (KCMs) offer a framework for studying complex dynamics.
Purpose of the Study:
- To compute the trajectory phase diagram of one-dimensional KCMs.
- To demonstrate the existence of dynamical phases and multicritical points.
- To explore duality arguments in KCMs.
Main Methods:
- Exact diagonalization.
- Tensor network methods.
- Duality arguments.
Main Results:
- Existence of dynamical phases in one-dimensional KCMs.
- Identification of multicritical points delimiting first-order and continuous transitions.
- Duality relationships found in a broad class of KCMs.
Conclusions:
- Dynamical phases and transitions in KCMs can be understood through duality.
- Multicritical points are key features on self-dual lines.
- Intertwined concepts from quantum spin systems, stochastic dynamics, and large deviation theory.
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