: Focuses on spatial homogeneity and the specific sample path properties of Brownian motion.
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
: While it aims to be self-contained, it frequently refers to Chung’s other classic, A Course in Probability Theory , for discrete-parameter martingale foundations. : Focuses on spatial homogeneity and the specific
: Discusses the analytical side of the theory, including the relationship between probability and potential theory. Key Features & Style 💡 : Discusses the analytical side of the theory,
: The 2005 version adds 10 new chapters by John Walsh, focusing on Ray processes , time reversal , and duality .
: A unique feature of the expanded edition is the inclusion of informal sections called "Fireside Chats," which provide historical context and intuitive summaries of complex topics. Target Audience
: Explores the connection between martingales and Markov processes, Feller processes, and the strong Markov property.