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Comment on "Exact large deviation statistics and trajectory phase transition of a deterministic boundary driven
1Molecular Foundry, Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, California 94720, USA.
This study re-evaluates dynamical large deviations in cellular automata. A modified limit reveals a nonsingular function, challenging the interpretation of coexisting dynamical phases.
Area of Science:
- Statistical Mechanics
- Complex Systems
- Non-equilibrium Physics
Background:
- Dynamical large deviations analyze fluctuations in non-equilibrium systems.
- Buča et al. interpreted a singularity in a double limit as a first-order phase transition in a cellular automaton.
- This interpretation aligns with treating time as a spatial coordinate in thermodynamic systems.
Purpose of the Study:
- To critically examine the interpretation of dynamical large deviations in Buča et al.'s cellular automaton model.
- To investigate the consistency of the double-limit procedure with the model's fundamental properties.
- To propose an alternative limiting procedure and analyze its implications for phase transitions.
Main Methods:
- Analysis of the large-deviation function derived from a specific double limit (time then space).
- Comparison of the derived large-deviation function with the model's inherent characteristics.
- Development and application of a modified limiting procedure.
Main Results:
- The large-deviation function from the double limit is inconsistent with the model's basic features.
- A modified limiting procedure yields a nonsingular large-deviation function.
- The results from the modified limit do not support the existence of coexisting dynamical phases.
Conclusions:
- The interpretation of a first-order phase transition and coexisting dynamical phases in Buča et al. is questionable.
- A revised limiting approach provides a more consistent description of the model's dynamics.
- The study suggests that the observed singularity may not represent a true phase transition in the thermodynamic sense.
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