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Brownian motion on a stochastic harmonic oscillator chain: limitations of the Langevin equation

机译:关于一个随机谐波振荡器链的布朗运动:Langevin方程的限制

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Diffusion of a Brownian particle along a linear chain of coupled stochastic harmonic oscillators is investigated using molecular dynamics (MD) and stochastic modeling. The latter technique is based on the Langevin equation (LE) derived by applying linear response theory to the chain degrees of freedom. When the coupling strength between the particle and the chain oscillators is comparable to or exceeds the chain coupling strength, the LE becomes inaccurate in its predictions of the diffusion coefficient value; however, it does reproduce qualitatively correctly the non-monotonic dependence of the diffusion coefficient on the particle-chain coupling strength, also found in MD simulations. The diffusion coefficient versus temperature curves determined from MD and Langevin simulations agree very well with each other at low temperatures. At high temperatures, the diffusion coefficient obtained from Langevin simulations is proportional to temperature, as predicted by Einstein's relation. In contrast, the diffusion coefficient from MD is a non-linear function of temperature and is significantly greater than in Langevin simulations. Next, it is shown that Langevin description breaks down when the coupling between the chain oscillators is too strong. Finally, when an external constant force is applied to the particle, the Langevin description becomes qualitatively wrong. Namely, MD shows that the particle quickly detaches itself from the chain and moves at a constant acceleration due to the external force, whereas Langevin simulations predict constant terminal velocity of the particle.
机译:使用分子动力学(MD)和随机造型来研究沿耦合随机谐波振荡器的线性链的棕色颗粒的扩散。后一种技术基于Langevin等式(Le)通过将线性响应理论应用于链条自由度来源。当颗粒和链振荡器之间的耦合强度与链耦合强度相当或超过链耦合强度时,LE在其预测的扩散系数值的预测中变得不准确;然而,在MD仿真中发现,它确实正确地正确地再现了扩散系数对粒子链耦合强度的非单调依赖性。从MD和Langevin模拟确定的扩散系数与温度曲线在低温下彼此完全一致。在高温下,从LangeVin模拟获得的扩散系数与Einstein的关系预测的温度成比例。相反,来自MD的扩散系数是温度的非线性函数,并且显着大于Langevin模拟。接下来,当链振荡器之间的耦合太强时,Langevin描述分解了。最后,当外部恒定力施加到颗粒时,Langevin描述变得定性错误。即,MD表明,颗粒迅速从链中拆下自身,并且由于外力而在恒定的加速下移动,而LangeVin模拟预测颗粒的恒定终端速度。

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