
TL;DR
This survey reviews thirty years of research on transport in deterministic dynamical systems, focusing on measures like fluxes, barriers, and models explaining transport phenomena.
Contribution
It synthesizes progress on computing transport measures, analyzing barriers, and applying Markov models to understand transport dynamics in volume-preserving maps.
Findings
Invariant manifolds form partial barriers impeding transport.
Fluxes can be computed via differences in orbit actions.
Markov models explain algebraic decay in transport distributions.
Abstract
To characterize transport in a deterministic dynamical system is to compute exit time distributions from regions or transition time distributions between regions in phase space. This paper surveys the considerable progress on this problem over the past thirty years. Primary measures of transport for volume-preserving maps include the exiting and incoming fluxes to a region. For area-preserving maps, transport is impeded by curves formed from invariant manifolds that form partial barriers, e.g., stable and unstable manifolds bounding a resonance zone or cantori, the remnants of destroyed invariant tori. When the map is exact volume preserving, a Lagrangian differential form can be used to reduce the computation of fluxes to finding a difference between the action of certain key orbits, such as homoclinic orbits to a saddle or to a cantorus. Given a partition of phase space into regions…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
