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转向鱼群的流体动力学

Hydrodynamics of Turning Flocks.

作者信息

Yang Xingbo, Marchetti M Cristina

机构信息

Physics Department, Syracuse University, Syracuse, New York 13244, USA.

Syracuse Biomaterials Institute, Syracuse University, Syracuse, New York 13244, USA.

出版信息

Phys Rev Lett. 2015 Dec 18;115(25):258101. doi: 10.1103/PhysRevLett.115.258101. Epub 2015 Dec 17.

Abstract

We present a hydrodynamic model of flocking that generalizes the familiar Toner-Tu equations to incorporate turning inertia of well-polarized flocks. The continuum equations controlled by only two dimensionless parameters, orientational inertia and alignment strength, are derived by coarse-graining the inertial spin model recently proposed by Cavagna et al. The interplay between orientational inertia and bend elasticity of the flock yields anisotropic spin waves that mediate the propagation of turning information throughout the flock. The coupling between spin-current density to the local vorticity field through a nonlinear friction gives rise to a hydrodynamic mode with angular-dependent propagation speed at long wavelengths. This mode becomes unstable as a result of the growth of bend and splay deformations augmented by the spin wave, signaling the transition to complex spatiotemporal patterns of continuously turning and swirling flocks.

摘要

我们提出了一种群体运动的流体动力学模型,该模型将常见的托纳-图方程进行了推广,以纳入极化良好的群体的转向惯性。通过对卡瓦尼亚等人最近提出的惯性自旋模型进行粗粒化,推导出了仅由两个无量纲参数(取向惯性和排列强度)控制的连续介质方程。群体的取向惯性和弯曲弹性之间的相互作用产生了各向异性的自旋波,这些自旋波介导了转向信息在整个群体中的传播。通过非线性摩擦,自旋电流密度与局部涡度场之间的耦合产生了一种长波长下具有角度依赖传播速度的流体动力学模式。由于自旋波增强了弯曲和伸展变形的增长,这种模式变得不稳定,这标志着向持续转向和旋转的群体的复杂时空模式的转变。

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