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Non-monotonic temperature dependence of chaos-assisted diffusion in driven periodic systems

机译:驱动周期系统中混沌辅助扩散的非单调温度依赖性

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The spreading of a cloud of independent Brownian particles typically proceeds more effectively at higher temperatures, as it derives from the commonly known Sutherland–Einstein relation for systems in thermal equilibrium. Here, we report on a non-equilibrium situation in which the diffusion of a periodically driven Brownian particle moving in a periodic potential decreases with increasing temperature within a finite temperature window. We identify as the cause for this non-intuitive behaviour a dominant deterministic mechanism consisting of a few unstable periodic orbits embedded into a chaotic attractor together with thermal noise-induced dynamical changes upon varying temperature. The presented analysis is based on extensive numerical simulations of the corresponding Langevin equation describing the studied setup as well as on a simplified stochastic model formulated in terms of a three-state Markovian process. Because chaos exists in many natural as well as in artificial systems representing abundant areas of contemporary knowledge, the described mechanism may potentially be discovered in plentiful different contexts.
机译:独立的布朗粒子云的扩散通常在更高的温度下更有效地进行,因为它源自热平衡系统中众所周知的Sutherland-Einstein关系。在此,我们报告了一种非平衡情况,其中在有限的温度范围内,随着温度的升高,周期性驱动的布朗粒子在周期性电势中的扩散逐渐减小。我们确定这种非直觉行为的原因是一种主要的确定性机制,该机制由嵌入到混沌吸引子中的一些不稳定周期轨道以及温度变化引起的热噪声引起的动态变化组成。提出的分析基于相应的Langevin方程的大量数值模拟(描述了所研究的装置)以及根据三态马尔可夫过程公式化的简化随机模型。由于混沌存在于代表当今知识丰富领域的许多自然系统和人工系统中,因此所描述的机制可能会在很多不同的情况下被发现。

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