A method of defining central and Gibbs measures and the ergodic method

DOI10.1134/S1064562421020071zbMath1496.60004arXiv2102.04125OpenAlexW3178553608WikidataQ114074934 ScholiaQ114074934MaRDI QIDQ2243856

Anatoly M. Vershik

Publication date: 11 November 2021

Published in: Doklady Mathematics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2102.04125

zbMATH Keywords

Markov chainsinvariant measurescocycleequivalence relationMarkov compactumcotransitionsequipped equivalence relationequipped Markov compactum

Mathematics Subject Classification ID

Probability measures on topological spaces (60B05) Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Boundary theory for Markov processes (60J50)

Related Items (2)

The Schur-Weyl graph and Thoma's theorem ⋮ Central measures of continuous graded graphs: the case of distinct frequencies

Cites Work

• Unnamed Item
• Unnamed Item
• On the statistics of vision: The Julesz conjecture
• Invariant measures for certain expansive \(\mathbb{Z}^ 2\)-actions
• Ergodicity and totality of partitions associated with the RSK correspondence
• Asymptotics of the partition of the cube into Weyl simplices and an encoding of a Bernoulli scheme
• Three theorems on the uniqueness of the Plancherel measure from different viewpoints
• Jeu de taquin dynamics on infinite Young tableaux and second class particles
• The Characters of the Infinite Symmetric Group and Probability Properties of the Robinson–Schensted–Knuth Algorithm
• The Structure of Hyperfinite Borel Equivalence Relations
• The theory of filtrations of subalgebras, standardness, and independence

This page was built for publication: A method of defining central and Gibbs measures and the ergodic method