Local Limit Theorems for Inhomogeneous Markov Chains

Discover the groundbreaking work of Dmitry Dolgopyat in "Local Limit Theorems for Inhomogeneous Markov Chains," published by Springer International Publishing AG in 2023. This insightful book, spanning 342 pages, delves into the extension of the local central limit theorem specifically tailored for Markov chains. Dolgopyat expertly navigates the complexities of state spaces and transition probabilities that evolve over time, providing readers with a comprehensive understanding of these dynamic systems. Ideal for researchers and students alike, this first edition is a must-have for anyone interested in advanced probability theory and its applications. Enhance your knowledge and explore the intricacies of inhomogeneous Markov chains with this essential addition to your academic library.