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Published on: December 4, 2017
Statistics of entropy production in linearized stochastic systems.
K Turitsyn1, M Chertkov, V Y Chernyak
1Landau Institute for Theoretical Physics, Moscow, Kosygina 2, 119334, Russia.
This study analyzes entropy production in linear stochastic systems driven by asymmetric forces, calculating its large deviation function. The findings are demonstrated with a polymer in a gradient flow under thermal fluctuations.
Area of Science:
- Statistical Mechanics
- Non-equilibrium Thermodynamics
- Soft Matter Physics
Background:
- Linear stochastic systems often maintain detailed balance.
- External forces can drive systems away from equilibrium.
- Entropy production is a key indicator of non-equilibrium processes.
Purpose of the Study:
- To investigate entropy production in systems driven by multiplicative asymmetric forces.
- To calculate the large deviation function for entropy production.
- To illustrate the general results with a specific physical example.
Main Methods:
- Analysis of linear stochastic differential equations.
- Application of large deviation theory.
- Derivation of the entropy production function.
Main Results:
- Explicit calculation of the large deviation function for entropy production.
- Demonstration that multiplicative asymmetric forces break detailed balance.
- Quantification of entropy production in a model polymer system.
Conclusions:
- The study provides a general framework for understanding entropy production in driven non-equilibrium systems.
- The explicit calculation offers insights into the statistical properties of entropy production.
- The polymer example highlights the applicability of the theoretical framework to real-world phenomena.
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