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arXiv 1202.4429cond-mat.stat-mechcond-mat.soft
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运动陷阱中关联噪声驱动的布朗振子

Brownian oscillators driven by correlated noise in a moving trap

Lukas Glod, Gabriela Vasziova, Jana Tothova, Vladimir Lisy

摘要:

研究了布朗振子,即处于热涨落环境中的微米级或更小的粒子。约束简谐势可以以恒定速度运动。与标准朗之万理论不同的是,驱动粒子的混沌力在时间上是相关的。粒子的动力学描述的广义朗之万方程的惯性项,色噪声力,和记忆积分。我们考虑系统中的两种存储器。第一个对应于弱粘弹性流体中的指数相关噪声,在第二种情况下,记忆自然出现在Navier-Stokes流体动力学中。在这两种情况下,使用一个简单而有效的方法得到了精确的解析解,迄今为止,在这类问题中没有应用。

英文摘要:

Brownian oscillator, i.e. a micron-sized or smaller particle trapped in a thermally fluctuating environment is studied. The confining harmonic potential can move with a constant velocity. As distinct from the standard Langevin theory, the chaotic force driving the particle is correlated in time. The dynamics of the particle is described by the generalized Langevin equation with the inertial term, a coloured noise force, and a memory integral. We consider two kinds of the memory in the system. The first one corresponds to the exponentially correlated noise in a weakly viscoelastic fluid and in the second case the memory naturally arises within the Navier-Stokes hydrodynamics. Exact analytical solutions are obtained in both the cases using a simple and effective method not applied so far in this kind of problems.

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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