Entropy and the structure of measure-preserving transformations
Presenter
April 30, 2018
Abstract
Tim Austin - New York University
Since Kolmogorov and Sinai brought the notion of entropy into ergodic theory, it has been found to have many important consequences for the structure of a measure-preserving transformation. Very loosely, transformations can be divided into (i) "deterministic" transformations, which have zero (or at least very low) entropy; and (ii) K-automorphisms, which are in a sense "orthogonal" to all zero-entropy transformations. The best-known examples of K-automorphisms are the Bernoulli shifts, the "most random" of all.
Some of the most substantial results aim to describe a general ergodic transformation in terms of those two special cases. I will give a quick overview of this area and some of its main results: Sinai's factor theorem, Ornstein's isomorphism theorem, and some of the basic theory of K-automorphisms and Bernoulli shifts. I will work towards stating a new result in this vein, the weak Pinsker theorem. I will conclude by sketching some of the new phenomena in the proof of the weak Pinsker theorem, as far as time allows.