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arXiv 2201.04903cond-mat.stat-mechphysics.data-an
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非平衡动力学的谱指纹:布朗回转器的情况

Spectral fingerprints of non-equilibrium dynamics: The case of a Brownian gyrator

S. Cerasoli, S. Ciliberto, E. Marinari, G. Oshanin, L. Peliti, L. Rondoni

摘要:

当同一系统在平衡条件下演化时,或者当它被驱动脱离平衡时,例如,把它的一些部件连接到保持不同温度的热浴上。在这里,我们专注于这样一个系统的分析可解和实验相关的模型-所谓的布朗回转器-一个二维纳米机器,执行系统的,平均而言,在非平衡条件下围绕原点旋转,而没有净旋转发生在平衡。在这个例子中,我们讨论了一个问题,是否有可能区分两种类型的行为判断上的统计特性的轨迹的组件,而是在其各自的谱密度。后者被广泛用于表征不同的动力系统,并经常使用标准的内置软件包从数据中计算。从这样一个角度来看,我们询问的功率谱密度是否具有一些特定的非平衡行为的“指纹”属性。我们表明,确实可以决定性地区分平衡和非平衡动力学通过分析两个组件的频谱密度之间的互相关性在短的频率限制,或从两个组件的频谱密度在零频率评估。我们的分析预测,证实了实验和数值结果,打开了一个新的方向的非平衡动力学分析。

英文摘要:

The same system can exhibit a completely different dynamical behavior when it evolves in equilibrium conditions or when it is driven out-of-equilibrium by, e.g., connecting some of its components to heat baths kept at different temperatures. Here we concentrate on an analytically solvable and experimentally-relevant model of such a system -- the so-called Brownian gyrator -- a two-dimensional nanomachine that performs a systematic, on average, rotation around the origin under non-equilibrium conditions, while no net rotation takes place in equilibrium. On this example, we discuss a question whether it is possible to distinguish between two types of a behavior judging not upon the statistical properties of the trajectories of components, but rather upon their respective spectral densities. The latter are widely used to characterize diverse dynamical systems and are routinely calculated from the data using standard built-in packages. From such a perspective, we inquire whether the power spectral densities possess some "fingerprint" properties specific to the behavior in non-equilibrium. We show that indeed one can conclusively distinguish between equilibrium and non-equilibrium dynamics by analyzing the cross-correlations between the spectral densities of both components in the short frequency limit, or from the spectral densities of both components evaluated at zero frequency. Our analytical predictions, corroborated by experimental and numerical results, open a new direction for the analysis of a non-equilibrium dynamics.

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