论文标题
棕色粒子的持续运动会随时间延迟而受到排斥反馈
Persistent motion of a Brownian particle subject to repulsive feedback with time delay
论文作者
论文摘要
基于分析和数值计算,我们研究了在延时,非线性反馈控制下以二维移动的胶体颗粒的动力学。具体而言,根据其瞬时位置,$ \ mathbf {r}(t)$及其较早位置$ \ mathbf {r}(t-τ)$之间的差异,该粒子受到源自排斥高斯电位的力的约束,其中$τ$是延迟的时间。首先考虑确定性情况,我们为长时间的较小位移和动力学提供了分析结果。特别是,在反馈参数的适当值下,粒子以恒定的非零速度接近稳态,其方向也是恒定的。在存在噪声的情况下,运动方向长时间随机变化,但是(数值获得的)速度自相关仍然揭示了运动的持久性。此外,均方位移(MSD)在中间时间揭示了混合的状态,并具有弹道运动和扩散的翻译运动的贡献,从而使我们能够在存在噪声的情况下提取有效推进速度的估计值。然后,我们根据活性布朗颗粒的MSD的精确结果分析数据。比较确实表明,在排斥延迟的反馈和主动运动下,粒子的动力学之间有着强烈的相似性。这种关系延续了长期扩散系数$ d_ \ mathrm {eff} $的行为,与自由案例相比,它与主动运动相似。最后,我们证明,对于小延迟,可以通过分析估算$ d_ \ mathrm {eff} $。
Based on analytical and numerical calculations we study the dynamics of an overdamped colloidal particle moving in two dimensions under time-delayed, non-linear feedback control. Specifically, the particle is subject to a force derived from a repulsive Gaussian potential depending on the difference between its instantaneous position, $\mathbf{r}(t)$, and its earlier position $\mathbf{r}(t-τ)$, where $τ$ is the delay time. Considering first the deterministic case, we provide analytical results for both, the case of small displacements and the dynamics at long times. In particular, at appropriate values of the feedback parameters, the particle approaches a steady state with a constant, non-zero velocity whose direction is constant as well. In the presence of noise, the direction of motion becomes randomized at long times, but the (numerically obtained) velocity autocorrelation still reveals some persistence of motion. Moreover, the mean-squared displacement (MSD) reveals a mixed regime at intermediate times with contributions of both, ballistic motion and diffusive translational motion, allowing us to extract an estimate for the effective propulsion velocity in presence of noise. We then analyze the data in terms of exact, known results for the MSD of active Brownian particles. The comparison indeed indicates a strong similarity between the dynamics of the particle under repulsive delayed feedback and active motion. This relation carries over to the behavior of the long-time diffusion coefficient $D_\mathrm{eff}$ which, similarly to active motion, is strongly enhanced compared to the free case. Finally we show that, for small delays, $D_\mathrm{eff}$ can be estimated analytically.