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Journal ArticleDOI

Stochastic thermodynamics of nonequilibrium steady states in chemical reaction systems

Chung-Yuan Mou, +2 more
- 15 Jun 1986 - 
- Vol. 84, Iss: 12, pp 7011-7017
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TLDR
In this article, a stochastic theory of entropy production for steady states in chemical reaction systems is presented, where small scale internal fluctuations around steady states are considered in the Gaussian regime.
Abstract
We present a stochastic theory of entropy production for steady states in chemical reaction systems. Small scale internal fluctuations around steady states are considered in the Gaussian regime. It is shown that in addition to the usual Gibbsian form of entropy production, there is an entropy production due to fluctuation which is of order O(V0). This comes from the non‐Poisson character of the probability distribution in a nonequilibrium system. Two approaches are considered: in the first, we use an entropy balance equation based on the master equation; in the second, we use a stochastic potential related to the probability distribution and built from the generalized Einstein relation. We show that both approaches give the same result for the entropy production of fluctuation (diS/dt) f . Next we consider a simple one‐component nonequilibrium system under the perturbation of a macroscopically large external fluctuation as a power generator. We interpret (diS/dt) f  in terms of net power gain factor under...

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Citations
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Stochastic thermodynamics, fluctuation theorems and molecular machines

TL;DR: Efficiency and, in particular, efficiency at maximum power can be discussed systematically beyond the linear response regime for two classes of molecular machines, isothermal ones such as molecular motors, and heat engines such as thermoelectric devices, using a common framework based on a cycle decomposition of entropy production.
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Stochastic thermodynamics: principles and perspectives

TL;DR: In this paper, a first-law like energy balance involving exchanged heat and entropy production entering refinements of the second law can consistently be defined along single stochastic trajectories.
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Physical origins of entropy production, free energy dissipation, and their mathematical representations.

TL;DR: A unifying mathematical theory of nonequilibrium thermodynamics of stochastic systems in terms of master equations is presented, and two kinds of irreversibility, and the meaning of the arrow of time, emerge.
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Stochastic thermodynamics of chemical reaction networks.

TL;DR: For chemical reaction networks in a dilute solution described by a master equation, the authors define energy and entropy on a stochastic trajectory and develop a consistent nonequilibrium thermodynamic description along a single stoChastic trajectory of reaction events.
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Stochastic thermodynamics, fluctuation theorems, and molecular machines

TL;DR: In this paper, the authors provide a framework for extending the notions of classical thermodynamics like work, heat and entropy production to the level of individual trajectories of well-defined non-equilibrium ensembles.
References
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Journal ArticleDOI

Network theory of microscopic and macroscopic behavior of master equation systems

TL;DR: In this paper, a general microscopic and macroscopic theory is developed for systems which are governed by a (linear) master equation, and the results are obtained mostly by application of some basic theorems of mathematical graph theory.
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Chemical reaction models for non-equilibrium phase transitions

TL;DR: In this article, the steady states of non-equilibrium phase transitions are discussed, and a phase transition of second order, another one of first order, and diffusion occurs in first order transition.
Journal ArticleDOI

Fluctuation and relaxation of macrovariables

TL;DR: In this article, the evolution of the variable along the most probable path and fluctuation properties around the path are considered from a general point of view with an emphasis on the relation of nonlinearity of evolution and the associated fluctuation.
Journal ArticleDOI

The Relationship between Stochastic and Deterministic Models for Chemical Reactions

TL;DR: In this article, the authors compared the Markov chain and ODE models for chemical reaction systems and showed that if the volume of the reaction system is taken into account in an appropriate way in the formulation of the markov chain model, then the o.d. model is the infinite volume limit.
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