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arXiv 1307.0801cond-mat.stat-mech
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简单驱动动力学网络中的动态相变

Dynamic phase transitions in simple driven kinetic networks

Suriyanarayanan Vaikuntanathan, Todd R. Gingrich, Phillip L. Geissler

摘要:

我们分析了一类失平衡动力学网络上轨迹的熵产生率的概率分布。这些网络可以作为驱动动力系统的简单模型,这在生物过程中特别重要,其中能量通量通常导致非平衡动力学。通过分析熵产生的波动,我们证明了出现,在一个大的系统尺寸限制,两个不同的动力学制度之间的动态相变。

英文摘要:

We analyze the probability distribution for entropy production rates of trajectories evolving on a class of out-of-equilibrium kinetic networks. These networks can serve as simple models for driven dynamical systems, which are of particular importance in biological processes, where energy fluxes typically result in non-equilibrium dynamics. By analyzing the fluctuations in the entropy production, we demonstrate the emergence, in a large system size limit, of a dynamic phase transition between two distinct dynamical regimes.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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