Geometry, Topology and Dynamics Seminar
Ekaterina Shchetka
University of Michigan
Double exponential mixing in analytic dynamics
Abstract: In dynamics, the speed of mixing depends on the chaos of the map and the regularity of the observables. Notably, two classical linear models—the Bernoulli doubling map and the CAT map—exhibit double exponential mixing for analytic observables. Are linear maps the only ones with this property? In dimension one, we provide a full classification for maps from the space of finite Blaschke products acting on the circle (as well as for free semigroup actions generated by a finite collection of such maps). In higher dimensions, we identify a necessary condition for double exponential mixing and present several families of examples and non-examples. Key ideas of the proof involve the Koopman precomposition operator on spaces of hyperfunctions (elements of the dual space of analytic functions), which turns out to be non-self-adjoint, compact, and quasinilpotent, with spectrum reduced to zero.
The talk is accessible to all; no background knowledge is required.
Wednesday October 8, 2025 at 3:00 PM in 636 SEO