Inverse limit method for generalized Bratteli diagrams and invariant measures

Generalized Bratteli diagrams with a countable set of vertices in every level are models for aperiodic Borel automorphisms. This paper is devoted to the description of all ergodic tail invariant probability measures on the path spaces of generalized Bratteli diagrams. Such measures can be identified with inverse limits of infinite-dimensional simplices associated with levels in generalized Bratteli diagrams. Though this method is general, we apply it to several classes of reducible generalized Bratteli diagrams. In particular, we explicitly describe all ergodic tail invariant probability measures for (i) the infinite Pascal graph and give the formulas for the values of such measures on cylinder sets, (ii) generalized Bratteli diagrams formed by a countable set of odometers, (iii) reducible generalized Bratteli diagrams with uncountable set of ergodic tail invariant probability measures. We also consider the method of measure extension by tail invariance from subdiagrams. We discuss the properties of the Vershik map defined on reducible generalized Bratteli diagrams.

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Publication Details

Journal
Dissertationes Mathematicae
Published
2026-09-24
DOI
https://doi.org/10.4064/dm240529-23-2
Primary Topic
Random Matrices and Applications
Type
article
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Inverse limit method for generalized Bratteli diagrams and invariant measures

Sergey I. Bezuglyi, Olena Karpel, Jan Kwiatkowski
Dissertationes Mathematicae
Random Matrices and Applications
article

Inverse limit method for generalized Bratteli diagrams and invariant measures

Sergey I. Bezuglyi, Olena Karpel, Jan Kwiatkowski
article en

Abstract

Generalized Bratteli diagrams with a countable set of vertices in every level are models for aperiodic Borel automorphisms. This paper is devoted to the description of all ergodic tail invariant probability measures on the path spaces of generalized Bratteli diagrams. Such measures can be identified with inverse limits of infinite-dimensional simplices associated with levels in generalized Bratteli diagrams. Though this method is general, we apply it to several classes of reducible generalized Bratteli diagrams. In particular, we explicitly describe all ergodic tail invariant probability measures for (i) the infinite Pascal graph and give the formulas for the values of such measures on cylinder sets, (ii) generalized Bratteli diagrams formed by a countable set of odometers, (iii) reducible generalized Bratteli diagrams with uncountable set of ergodic tail invariant probability measures. We also consider the method of measure extension by tail invariance from subdiagrams. We discuss the properties of the Vershik map defined on reducible generalized Bratteli diagrams.

Dissertationes Mathematicae
University of Iowa (US), Nicolaus Copernicus University (PL), AGH University of Krakow (PL)
Openalex Percentile: Top 99%
Random Matrices and Applications
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