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Thermodynamic Langevin equations.

Amilcare Porporato1, Salvatore Calabrese2, Lamberto Rondoni3

  • 1Department of Civil and Environmental Engineering and High Meadows Environmental Institute, <a href="https://ror.org/00hx57361">Princeton University</a>, Princeton, New Jersey 08540, USA.

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Summary
This summary is machine-generated.

This study explores generalized Gibbs ensembles, deriving nonlinear thermodynamic Langevin equations (TLEs) for macroscopic variables. It reveals distinct TLEs for macroscopic versus microscopic descriptions in small systems.

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Area of Science:

  • Statistical Mechanics
  • Non-equilibrium Thermodynamics
  • Small Systems Thermodynamics

Background:

  • Existing stochastic thermodynamics often links thermodynamic quantities to microscopic variables.
  • This work investigates stochastic variability directly within macroscopic variables of generalized Gibbs ensembles.
  • Focuses on thermodynamic fluctuations in small systems.

Purpose of the Study:

  • To scrutinize the physical significance of stochastic processes in generalized Gibbs ensembles.
  • To derive exact nonlinear thermodynamic Langevin equations (TLEs) for macroscopic variables.
  • To analyze the behavior of these TLEs for specific systems like ideal gases and colloidal particles.

Main Methods:

  • Recognizing the potential structure of Gibbs ensembles based on potential entropy generation.
  • Deriving nonlinear thermodynamic Langevin equations (TLEs) for macroscopic variables.
  • Analyzing canonical ensemble for ideal monoatomic gas and colloidal particle under constant force.

Main Results:

  • Exact nonlinear TLEs obtained for macroscopic variables, with drift expressed via entropic forces.
  • Analysis of ideal gas shows nonequilibrium heat transfer and bounds on entropy production.
  • For colloidal particles, macroscopic TLEs differ from microscopic ones, challenging standard stochastic thermodynamics assumptions.

Conclusions:

  • The derived TLEs offer a new perspective on thermodynamic fluctuations in small systems.
  • The approach provides a framework consistent with Hamiltonian mechanics, unlike some stochastic thermodynamics models.
  • Highlights the importance of considering macroscopic variables for accurate thermodynamic descriptions under non-equilibrium conditions.