: Researchers in mathematical physics and analysis use it as a reference for Hunt processes and Brownian motion sample paths.
If you are looking for a specific chapter summary or need a comparison between the first and second editions, let me know! If you want to dive deeper into this book: Lectures from Markov Processes to Brownian Motion
: Focuses on spatial homogeneity and the specific sample path properties of Brownian motion. : Researchers in mathematical physics and analysis use
: Explores the connection between martingales and Markov processes, Feller processes, and the strong Markov property. : Explores the connection between martingales and Markov
: Chung is known for an "explanatory rather than dogmatic" style, prioritizing clarity over dense formalism.
The book originates from lecture notes for a course at ETH Zürich and aims to teach advanced Markov processes and Brownian motion with a . It bridges the gap between basic probability and the complex "general theory" of stochastic processes. Core Structure The original text is divided into five primary sections:
: A deeper dive into specialized processes, hitting times, and potential theory (excessive functions and balayage).