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Decomposition of the entropy production rate and nonequilibrium thermodynamics of switching diffusion processes

机译:切换扩散过程的熵生产率分解和非醌热力学

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摘要

A switching diffusion process (SDP) is a widely used stochastic model in physics and biology, especially for molecular motors that exhibit a discrete internal chemical kinetics as well as a continuous external mechanical motion. The nonequilibrium thermodynamics of switching diffusion processes has not been extensively studied yet. In the present paper, we propose the decomposition of the entropy production rate in one-dimensional SDPs, based on the flux decomposition. However, similar decompositions of the housekeeping heat dissipation rate and free energy dissipation rate cannot guarantee the non-negativity of each decomposed component. Hence, we modify this decomposition with the flow of exponential relative information under steady-state fluxes, resulting in another decomposition with all non-negative components. Furthermore, we also provide the nonequilibrium thermodynamics of one-dimensional SDPs under the perspectives of coarse -graining and exchange of information between the chemical kinetics and mechanical motion, resulting in several other decompositions of entropy production rate. Finally, we generalize all the results to high-dimensional SDPs with a more general mathematical treatment.
机译:切换扩散过程(SDP)是物理和生物学中的广泛使用的随机模型,特别是对于具有离散内部化学动力学以及连续的外部机械运动的分子电机。切换扩散过程的非QuigiBribribim热力学尚未被广泛研究。在本文中,基于磁通分解,我们提出了一维SDP中熵生产率的分解。然而,与家务散热率和自由能量耗散率类似的分解不能保证每个分解组分的非消极性。因此,我们在稳态通量下与指数相对信息的流程修改该分解,导致所有非负组件的另一分解。此外,我们还在化学动力学和机械运动之间的粗糙和信息交换的角度下提供一维SDP的非QuiLibibibribim热力学,从而导致熵产生率的其他几种分解。最后,我们将所有结果概括为具有更一般的数学治疗的高维SDP。

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