We study a complicated fluid flow generated by a robotic arm moving randomly back and forth that is shown to stir a tracer in an unexpectedly simple way. One might expect that such random motions would lead to highly random observations. But it turns out that after a certain, fixed amount of time, a broad class of random motions leads to an enhanced non-random, deterministic tracer spreading rate. Looking closer, the tracer shows non-Gaussian random fluctuations which are explicitly computed.
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Ding et al. (2022) studied this question.
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