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arXiv 1804.06142cond-mat.stat-mech
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等温机械功的精确分配与随机效率

Exact distribution for work and stochastic efficiency of an isothermal machine

Deepak Gupta

摘要:

我们考虑由两个布朗粒子(比如粒子A和B)通过谐振弹簧连接而成的等温机器。一个恒定的负载被附加到粒子A上,粒子B被困在一个谐振限制中,其最小值被以恒定的速度拖动。整个系统与一个恒温的热浴接触。我们得到了粒子A和粒子B所做的功的分布,并在弱耦合极限和小的和大的观测时间下检验了这些量的瞬态涨落定理。此外,我们证明了对两个粒子所做的总功的瞬态涨落定理是满足的。此外,我们还计算了随机效率,即粒子A在负载力下所做的功与粒子B所做的功之比。计算所有时间的随机效率的概率密度函数。数值模拟也做了验证分析结果。

英文摘要:

We consider an isothermal machine composed of two Brownian particles (say particle A and B) connected by a harmonic spring. A constant load is attached to particle A, and the particle B is trapped in a harmonic confinement whose minimum is dragged with a constant velocity. Whole system is in contact with the heat bath of a constant temperature. We obtain the distribution of the work done on particle A and particle B, and transient fluctuation theorem for these quantities is tested in the weak coupling limit and for both small and large observation time. Moreover, we show that the transient fluctuation theorem for total work done on both particles is satisfied. Furthermore, we compute the stochastic efficiency which is the ratio of the work done against the load force on particle A and the work done on particle B of this machine. The probability density function for stochastic efficiency is computed for all time. Numerical simulations are also done to verify the analytical results.

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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