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Unimodal and bimodal random motions of independent exponential steps

机译:独立指数步的单峰和双峰随机运动

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We consider random walks that arise from the repetition of independent, statistically identical steps, whose nature may be arbitrary. Such unimodal motions appear in a variety of contexts, including particle propagation, cell motility, swimming of micro-organisms, animal motion and foraging strategies. Building on general frameworks, we focus on the case where step duration is exponentially distributed. We explore systematically unimodal processes whose steps are ballistic, diffusive, cyclic or governed by rotational diffusion, and give the exact propagator in Fourier-Laplace domain, from which the moments and the diffusion coefficient are obtained. We also address bimodal processes, where two kinds of step are taken in turn, and show that the mean square displacement, the quantity of prime importance in experiments, is simply related to those of unimodal motions.
机译:我们认为随机游走是由于重复独立的,统计学上相同的步骤而产生的,其性质可能是任意的。这种单峰运动出现在多种情况下,包括颗粒繁殖,细胞运动,微生物游动,动物运动和觅食策略。在通用框架的基础上,我们关注步长持续时间呈指数分布的情况。我们探索系统的单峰过程,其步长是弹道的,扩散的,循环的或受旋转扩散控制的,并在傅里叶-拉普拉斯域中给出精确的传播子,从而获得弯矩和扩散系数。我们还讨论了双峰过程,该过程依次采取两种步骤,并表明均方位移(在实验中最重要的数量)与单峰运动的关系简单。

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