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Irreversibility in dynamical phases and transitions.

Daniel S Seara1,2, Benjamin B Machta3,4, Michael P Murrell5,6,7

  • 1Department of Physics, Yale University, New Haven, CT, 06511, USA. daniel.seara@yale.edu.

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We introduce a new measure, the entropy production factor, to quantify irreversibility in active matter systems. This helps understand how energy dissipation creates complex spatiotemporal patterns like synchronized oscillations.

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Area of Science:

  • Physics
  • Biochemistry
  • Non-equilibrium thermodynamics

Background:

  • Active matter systems dissipate energy at the microscale, leading to emergent macroscale behaviors like traveling waves and oscillations.
  • Characterizing non-equilibrium systems often focuses on total energy dissipation, with less attention to its spatiotemporal manifestation.
  • Understanding how dissipation shapes patterns is crucial for active matter research.

Purpose of the Study:

  • Introduce a novel measure, the entropy production factor, to quantify irreversibility and broken time-reversal symmetry in field theories.
  • Apply this measure to analyze a dynamical phase transition in the Brusselator model.
  • Quantify the energetic cost and irreversibility distribution in synchronized biochemical oscillations.

Main Methods:

  • Developed a scalar, dimensionless function termed the entropy production factor.
  • Utilized computational simulations of the Brusselator model, a non-linear oscillator.
  • Measured total energy consumption and irreversibility across spatiotemporal frequencies.

Main Results:

  • The entropy production factor successfully quantifies how time-reversal symmetry is broken across different scales.
  • A dynamical phase transition was characterized using this new measure in the Brusselator system.
  • The study provides insights into the energetic costs associated with synchronized oscillations.

Conclusions:

  • The entropy production factor offers a valuable tool for analyzing irreversibility in non-equilibrium systems.
  • This measure aids in understanding the link between energy dissipation and emergent spatiotemporal patterns.
  • The findings contribute to the characterization of active matter dynamics and phase transitions.