Theorems and Tasks on Markov Processes , written by well-known scientists in the field of mathematics and probability theory Yevgeny Borisovich Dynkin and Alexander Alexandrovich Yushkevich , It is a unique edition of ,. which immerses the reader in the world of mathematical models , based on Markov processes. This work will be a real discovery for students, graduate students and researchers interested in probability theory, statistics and their applications in various fields of science and technology. Markov processes are a powerful tool used to model random phenomena, where the future state of a system depends only on its current state and not on previous events. In the book, the authors carefully consider the main theorems associated with these processes, and offer a variety of tasks that will help the reader to consolidate the knowledge gained and develop analytical skills. Each section of the book is designed to gradually introduce the reader to complex concepts, starting with basic concepts and ending with more in-depth topics such as stationary distributions and limit theorems. This book will be of interest not only to those who study mathematics at the level of higher education, but also to professionals working in areas such as economics, biology, computer science and engineering. If you are passionate about mathematical modeling, want to understand how probability theories apply in real-world situations, or are just looking for a way to improve your skills in this field, “Theorems and Problems About Markov Processes” is exactly what you need. One of the key topics raised in the book is the importance of Markov processes in the analysis and prediction of dynamical systems. The authors not only explain the theoretical aspects, but also give examples from real life, which makes the material more accessible and understandable. Readers will be able to see how these theories are applied in a variety of scenarios, from financial markets to biological populations, which adds practical value to the material being studied. The writing style of Dynkin and Yushkevich is clear and logical, which makes it easy to assimilate complex concepts. Their approach to the presentation of material makes the book not only a textbook, but also a fascinating reading for anyone interested in mathematics and its applications. The authors are also known for their other works in the field of probability theory and statistics, which confirms their high level of expertise and deep understanding of the subject. The book “Theorems and Problems about Markov Processes” will become an indispensable resource for students, graduate students and teachers, as well as for all who seek to expand their knowledge in the field of probability theory. It will help readers not only to master the theoretical foundations, but also to develop the practical skills necessary to solve real problems. If you are looking for quality mathematics literature that combines theory and practice, this publication should definitely take a place on your shelf. Thus, if you want to immerse yourself in the world of Markov processes and discover new horizons in mathematical modeling, do not miss the opportunity to get acquainted with this book. It will become your reliable companion in the study of probability theory and will open up many new opportunities in scientific and practical activities.