Asymptotics of ODE's flows everywhere or almost-everywhere in the torus:from rotation sets to homogenization of transport equations
Marc Briane (IRMAR, INSA Rennes), Lo\"ic Herv\'e (IRMAR, INSA Rennes)

TL;DR
This paper explores the deep connections between the asymptotic behavior of ODE flows on the torus, properties of rotation sets, and homogenization of transport equations, revealing surprising equivalences and extending classical results to higher dimensions.
Contribution
It establishes new equivalences between flow asymptotics, rotation set conditions, and homogenization, and extends two-dimensional ergodic flow results to higher dimensions.
Findings
Almost-everywhere flow asymptotics are equivalent to the unit set condition for D_b.
Homogenization of transport equations is equivalent to certain rotation set conditions for divergence-free fields.
Ergodicity can hold without the flow exhibiting everywhere asymptotics in higher dimensions.
Abstract
In this paper, we study various aspects of the ODE's flow solution to the equation , in the -dimensional torus , where is a regular -periodic vector field from in .We present an original and complete picture in any dimension of all logical connections between the following seven conditions involving the field : (i) the everywhere asymptotics of the flow , (ii) the almost-everywhere asymptotics of the flow , (iii) the global rectification of the vector field in , (iv) the ergodicity of the flow related to an invariant probability measure which is absolutely continuous with respect to Lebesgue's measure, (v) the unit set condition for Herman's rotation set composed of the means of related to the invariant probability measures, (vi) the unit set condition for the…
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.
Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Advanced Numerical Methods in Computational Mathematics · Nonlinear Partial Differential Equations
