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arXiv 1602.07155cond-mat.stat-mech
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边界驱动系统在大N极限下的极端电流涨落

Extreme current fluctuations of boundary-driven systems in the large-N limit

Yongjoo Baek, Yariv Kafri, Vivien Lecomte

摘要:

边界驱动扩散系统中的电流波动,在许多情况下,使用流体动力学理论进行研究。他们的预测,然后预计是有效的电流与系统大小成反比。为了详细研究这个问题,我们引入了一类一维边界驱动扩散系统的大N模型,其当前的大偏差函数对于任何有限数目的站点都是精确可导的。令人惊讶的是,我们发现,对于某些系统的流体动力学理论的预测可能持有远远超出其天真的有效性制度。具体而言,我们表明,虽然对称的部分排斥过程表现出非流体动力学行为远远超出天真的流体动力学制度,对称的包含过程是很好地描述了任意大电流的流体动力学理论。我们猜想,并验证零范围的过程,流体动力学理论捕捉任意大电流的所有模型的迁移率系数作为密度的函数是无界的从上面的统计。此外,对于大N模型,在大偏差函数不存在间断跃迁的假设下,证明了可加性原理。

英文摘要:

Current fluctuations in boundary-driven diffusive systems are, in many cases, studied using hydrodynamic theories. Their predictions are then expected to be valid for currents which scale inversely with the system size. To study this question in detail, we introduce a class of large-N models of one-dimensional boundary-driven diffusive systems, whose current large deviation functions are exactly derivable for any finite number of sites. Surprisingly, we find that for some systems the predictions of the hydrodynamic theory may hold well beyond their naive regime of validity. Specifically, we show that, while a symmetric partial exclusion process exhibits non-hydrodynamic behaviors sufficiently far beyond the naive hydrodynamic regime, a symmetric inclusion process is well described by the hydrodynamic theory for arbitrarily large currents. We conjecture, and verify for zero-range processes, that the hydrodynamic theory captures the statistics of arbitrarily large currents for all models where the mobility coefficient as a function of density is unbounded from above. In addition, for the large-N models, we prove the additivity principle under the assumption that the large deviation function has no discontinuous transitions.

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