Oct 29， 2021
On Universal Mixers
Andrej Zlatoš, Department of Mathematics, UC San Diego
Abstract:
I will present a construction of universal mixers in all dimensions, that is, incompressible flows that asymptotically mix arbitrarily well general solutions to the corresponding transport equation. While no universal mixer can have a uniform mixing rate for all measurable initial data, these flows are also almost universal exponential mixers in the sense that they do achieve exponential-in-time mixing (which is the optimal rate) for all initial data with at least some degree of regularity. The constructed flows are time-dependent with an alternating cellular structure, and exist on tori as well as on bounded domains in Euclidean spaces. I will also present numerical evidence of exponential mixing by a different class of flows, alternating shear flows on two-dimensional tori.
