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| Finite-time transport between distinct flow regions is of great relevance to many scientific applications, yet quantitative studies remain scarce. The primary obstacle is computing the evolution of material volumes, which is often infeasible due to extreme interfacial stretching. We present a framework for describing and computing finite-time transport in $n$-dimensional (chaotic) volume-preserving flows that relies on the reduced dynamics of an $(n-2)$-dimensional ``minimal set'' of fundamental trajectories. This approach has essential advantages over existing methods: the regions between which transport is investigated can be arbitrarily specified; no knowledge of the flow outside the finite transport interval is needed; and computational effort is substantially reduced. We demonstrate our framework in 2D for an industrial mixing device, the ``Rotated Arc Mixer". |
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