Decomposition of metric tensor in thermodynamic geometry in terms of relaxation timescales

Zhen Li, Yuki Izumida
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Abstract

Usually, the Carnot efficiency cannot be achieved with finite power due to the quasi-static process, which requires infinitely slow operation speed. It is necessary to tolerate extra dissipation to obtain finite power. In the slow-driving linear response regime, this dissipation can be described as dissipated availability in a geometrical way. The key to this geometrical method is the thermodynamic length characterized by a metric tensor defined on the space of control variables. In this paper, we show that the metric tensor for Langevin dynamics can be decomposed in terms of the relaxation times of a system. As an application of the decomposition of the metric tensor, we show that it is possible to achieve Carnot efficiency at finite power by taking the vanishing limit of relaxation times without breaking trade-off relations between efficiency and power.
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用弛豫时标分解热力学几何中的度量张量
通常情况下,由于准静态过程需要无限慢的运行速度,有限功率无法达到卡诺效率。为了获得有限功率,必须容忍额外的耗散。在低速驱动线性响应机制中,这种耗散可以用几何方法描述为耗散可用性。这种几何方法的关键在于以控制变量空间上定义的度量张量为特征的热力学长度。在本文中,我们展示了朗格文动力学的度量张量可以用系统的弛豫时间来分解。作为度量张量分解的一个应用,我们证明了在不打破效率和功率之间权衡关系的情况下,通过取弛豫时间的消失极限,有可能在有限功率下实现卡诺效率。
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