Generalized Bratteli diagrams without probability tail invariant measures
Andrew Barsky
Abstract: The talk focuses on the following problem: given a generalized Bratteli diagram $B$, determine conditions under which the tail equivalence relation $\mathcal R$ does not admit a tail invariant probability measure on the path space $X_B$. We give several sufficient conditions, formulated in terms of the incidence matrices, that guarantee the nonexistence of such a measure. We also discuss a new spectral method for finding tail invariant measures for a class of stationary generalized Bratteli diagrams. This method allowed us to answer affirmatively an open problem formulated in \cite{BezuglyiJorgensenKarpelSanadhya2026}. The talk is based on joint work with Sergey Bezuglyi.
To participate in this event virtually via Zoom, go to https://uiowa.zoom.us/j/95316149275.