In the subradiant regime of a bad-cavity laser, a dissipative phase transition maps to a switch from detailed-balance Markov chains to ones with time-asymmetric currents and N-scaling entropy production, producing observable self-pulsing.
Seifert, Entropy production along a stochastic tra- jectory and an integral fluctuation theorem, Phys
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Entropy production in chemical reaction networks shows generic critical exponents at pitchfork, transcritical, saddle-node, and Hopf bifurcations, with the inequality α - 2β ≥ 0 implying divergent responses require divergent fluctuations but not conversely.
Multi-time correlations of state observations are combined via a reconstruction operation into a hierarchy of successively tighter lower bounds on entropy production rate that converge to the true value with dense sampling.
An exact identity shows entropy production rate equals four times mutual information rate between displacement and time midpoint plus mean flow term in overdamped Langevin dynamics, enabling nonnegative decomposition of subsystem entropy production.
A scalable deep-learning estimator for trajectory-level stochastic information flow is proposed and tested on solvable models, oscillators, and motile cell trajectories.
Data-driven framework using short-time TUR inference and deep neural networks reconstructs high-dimensional dissipative force fields and localizes fluctuating entropy production in space and time.
citing papers explorer
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Dynamical aspects of steady-state subradiance: Detailed balance and its breakdown
In the subradiant regime of a bad-cavity laser, a dissipative phase transition maps to a switch from detailed-balance Markov chains to ones with time-asymmetric currents and N-scaling entropy production, producing observable self-pulsing.
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Universal criticality of entropy production in chemical reaction networks
Entropy production in chemical reaction networks shows generic critical exponents at pitchfork, transcritical, saddle-node, and Hopf bifurcations, with the inequality α - 2β ≥ 0 implying divergent responses require divergent fluctuations but not conversely.
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Hierarchical Reconstruction of Time-arrow from Multi-time Correlations
Multi-time correlations of state observations are combined via a reconstruction operation into a hierarchy of successively tighter lower bounds on entropy production rate that converge to the true value with dense sampling.
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Exact Identity Linking Entropy Production and Mutual Information
An exact identity shows entropy production rate equals four times mutual information rate between displacement and time midpoint plus mean flow term in overdamped Langevin dynamics, enabling nonnegative decomposition of subsystem entropy production.
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Quantifying information flow along a stochastic trajectory
A scalable deep-learning estimator for trajectory-level stochastic information flow is proposed and tested on solvable models, oscillators, and motile cell trajectories.
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Localizing entropy production along non-equilibrium trajectories
Data-driven framework using short-time TUR inference and deep neural networks reconstructs high-dimensional dissipative force fields and localizes fluctuating entropy production in space and time.