马尔科夫过程、布朗运动和时间对称 第2版（英文影印版）
出版时间：2013年版
丛编项： 经典数学教材
内容简介
　　This book consists of two parts， to be called Part I and Part n. Part I，Chapters l through 5， is essentially a new edition of Kai Lai Chung's Lec-tures from Markov Processes to Brownian Motion （1982）. He has corrected a number of misprints in the original edition， and has inserted a few references and remarks， of which he says， "The latter must be regarded as randomly selected since twenty-some years is a long time to retrace steps..." This part introduces strong Markov processes and their potential theory. In particular，it studies Brownian motion， and shows how it generates classical potential theory.
目录
Chapter 1 Markov Ptocess
1.1.Markov Property
1.2.Transition Function
1.3.Optional Times
1.4.Martingale Theorems
1.5.Progressive Measurability and the Section Theorem
Exercises
Notes on Chapter I
Chapter 2 Basic Properties
2.1. Martingale Connection
2.2.Feller Process
Exercises
2.3. Strong Markov Property and Right Continuity of Fields
Exercises
2.4. Moderate Markov Property and Quasi Left Continuity
Exercises
Notes on Chapter 2
Chapter 3 Hunt Process
3.1.Defining Properties
Exercises
3.2.Analysis of Excessive Functions
Exercises
3.3.Hitting Times
3.4.Balayage and Fundamental Structure
Exercises
3.5. FineProperties
Exercises
3.6.Decreasing Limits
Exercises
3.7.Recurrence and Transience
Exercises
3.8.Hypothesis (B)
Exerases
Notes on Chapter 3
Chapter 4 Brownian Motion
4.1.Spatial Homogeneity
Exercises
4.2.Preliminary Properties of Brownian Motion
Exercises
4.3.Harmonic Function
Exerases
4.4.Dirichlet Problem
Exercises
4.5.Superharmonic Function and Supermartingale
Exerases
4.6.The Role of the Laplacian
Exercises
4.7. The Feynman-Kac Functional and the Schrodinger Equation
Exe工ases
Notes on Chapter 4
Chapter 5 Potential Developments
5.1 Quitting Time and Equilibrium Measure
Exercises
5.2.Some Princip les of Potential Theory
Exerases
Notes on Chapter 5
Chapter 6 Generalities
6.1 Essential Limits
6.2 Penetration Times
6.3 General Theory
Exercises
Notes on Chapter 6
Chapter 7 Markov Chains: a Fireside Chat
7.1 Basic Examples
Notes on Chapter 7
Chapter 8 Ray Processes
8.1 Ray Resolvents and Semigroups
8.2Branching Points
Chapter9
Application to Markov Chains
……
Chapter 10 Time Reversal
Chapter 11 h-Transforms
Chapter 12 Death and Transfiguration: A Fireside Chat
Chapter 13 Processes in Duality
Chapter 14 The Martin Boundary
Chapter 15 The Basis of Duality: A Fireside Chat
Bibliography
Index