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Published on: December 4, 2017
Thermodynamic constraints on the nonequilibrium response of one-dimensional diffusions
Qi Gao1, Hyun-Myung Chun2, Jordan M Horowitz1,2,3
1Department of Physics, University of Michigan, Ann Arbor, Michigan 48109, USA.
This study analyzes how systems far from equilibrium respond to disturbances. We developed a method to simplify complex perturbations, providing a quantitative response formula for one-dimensional diffusion models.
Area of Science:
- Statistical Mechanics
- Non-equilibrium Physics
- Dynamical Systems
Background:
- Non-equilibrium steady states (NESS) are crucial for understanding systems driven by continuous energy input.
- Analyzing the response of NESS to perturbations is challenging due to their inherent complexity.
- One-dimensional diffusion on a circle provides a tractable model for studying NESS properties.
Purpose of the Study:
- To develop a general framework for analyzing the static response of one-dimensional diffusion models on a circle to arbitrary perturbations.
- To simplify the analysis of perturbation responses by decomposing them into fundamental classes.
- To derive quantitative formulas for characterizing the response strength, valid even far from equilibrium.
Main Methods:
- Decomposition of arbitrary perturbations into three fundamental classes.
- Derivation of analytical formulas for the static response to each perturbation class.
- Analysis of the response in terms of the strength of the non-equilibrium driving force.
Main Results:
- Demonstration that any perturbation can be represented as a combination of three specific classes.
- Derivation of simple, quantitative formulas for the system's static response.
- The derived formulas are valid for arbitrary strengths of non-equilibrium driving, extending beyond near-equilibrium approximations.
Conclusions:
- The developed method offers a powerful and simplified approach to understanding the response of NESS in one-dimensional diffusion models.
- The quantitative formulas provide valuable insights into system dynamics and stability under non-equilibrium conditions.
- This work lays the groundwork for analyzing more complex systems and perturbations in non-equilibrium statistical mechanics.
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