YoVDO

Singularity of Stationary Measures in Markov Chains

Offered By: Erwin Schrödinger International Institute for Mathematics and Physics (ESI) via YouTube

Tags

Probability Theory Courses Random Walks Courses Markov Chains Courses Measure Theory Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore the intricacies of stationary measures in Markov chains through this lecture delivered at the Erwin Schrödinger International Institute for Mathematics and Physics. Delve into the complexities of compound chains formed by convex combinations or products of Markov operators. Examine the question of whether equivalent stationary measures for original operators guarantee an equivalent stationary measure for the compound operator. Discover a negative answer to this query through examples utilizing boundary processes associated with random walks on the modular group PSL(2,Z). Investigate how these examples demonstrate the singularity of harmonic measures for convex combinations or convolutions, despite the equivalence of original harmonic measures. Learn about the connection between these boundary measures and classical constructions by Minkowski and Denjoy. Based on joint work with Behrang Forghani, this lecture offers a deep dive into advanced concepts in probability theory and dynamical systems.

Syllabus

Vadim Kaimanovich - Singularity of stationary measures


Taught by

Erwin Schrödinger International Institute for Mathematics and Physics (ESI)

Related Courses

Introduction to Statistics: Probability
University of California, Berkeley via edX
Aléatoire : une introduction aux probabilités - Partie 1
École Polytechnique via Coursera
Einführung in die Wahrscheinlichkeitstheorie
Johannes Gutenberg University Mainz via iversity
Combinatorics and Probability
Moscow Institute of Physics and Technology via Coursera
Probability
University of Pennsylvania via Coursera