Poncet Alexis, Bénichou Olivier, Démery Vincent, Oshanin Gleb
Gulliver, CNRS, ESPCI Paris, PSL Research University, 10 rue Vauquelin, 75005 Paris, France.
Département de Physique, ENS, PSL Research University, 24 Rue Lhomond, 75005 Paris, France.
Phys Rev Lett. 2017 Mar 17;118(11):118002. doi: 10.1103/PhysRevLett.118.118002. Epub 2017 Mar 15.
When two populations of "particles" move in opposite directions, like oppositely charged colloids under an electric field or intersecting flows of pedestrians, they can move collectively, forming lanes along their direction of motion. The nature of this "laning transition" is still being debated and, in particular, the pair correlation functions, which are the key observables to quantify this phenomenon, have not been characterized yet. Here, we determine the correlations using an analytical approach based on a linearization of the stochastic equations for the density fields, which is valid for dense systems of soft particles. We find that the correlations decay algebraically along the direction of motion, and have a self-similar exponential profile in the transverse direction. Brownian dynamics simulations confirm our theoretical predictions and show that they also hold beyond the validity range of our analytical approach, pointing to a universal behavior.
当两群“粒子”沿相反方向移动时,比如在电场作用下带相反电荷的胶体或者行人的交叉流,它们可以集体移动,沿其运动方向形成车道。这种“车道转变”的本质仍在争论中,尤其是作为量化这一现象关键可观测值的对关联函数,尚未得到表征。在此,我们基于密度场随机方程的线性化,采用一种解析方法来确定相关性,该方法对软粒子的密集系统有效。我们发现相关性沿运动方向呈代数衰减,在横向具有自相似指数分布。布朗动力学模拟证实了我们的理论预测,并表明这些预测在我们解析方法的有效性范围之外也成立,这表明存在一种普遍行为。