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9780387220260

Markov Processes, Brownian Motion, and Time Symmetry

by ;
  • ISBN13:

    9780387220260

  • ISBN10:

    0387220267

  • Edition: 2nd
  • Format: Hardcover
  • Copyright: 2005-08-30
  • Publisher: Springer Verlag
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Summary

From the reviews of the First Edition:"This excellent book is based on several sets of lecture notes written over a decade and has its origin in a one-semester course given by the author at the ETH, Zürich, in the spring of 1970. The author's aim was to present some of the best features of Markov processes and, in particular, of Brownian motion with a minimum of prerequisites and technicalities. The reader who becomes acquainted with the volume cannot but agree with the reviewer that the author was very successful in accomplishing this goal'¦The volume is very useful for people who wish to learn Markov processes but it seems to the reviewer that it is also of great interest to specialists in this area who could derive much stimulus from it. One can be convinced that it will receive wide circulation." (Mathematical Reviews)This new edition contains 9 new chapters which include new exercises, references, and multiple corrections throughout the original text.

Table of Contents

Preface to the New Edition ix
Preface to the First Edition xi
Chapter 1 Markov Process 1(44)
1.1. Markov Property
1(5)
1.2. Transition Function
6(6)
1.3. Optional Times
12(12)
1.4. Martingale Theorems
24(13)
1.5. Progressive Measurability and the Section Theorem
37(7)
Exercises
43(1)
Notes on Chapter 1
44(1)
Chapter 2 Basic Properties 45(30)
2.1. Martingale Connection
45(3)
2.2. Feller Process
48(8)
Exercises
55(1)
2.3. Strong Markov Property and Right Continuity of Fields
56(10)
Exercises
65(1)
2.4. Moderate Markov Property and Quasi Left Continuity
66(7)
Exercises
73(1)
Notes on Chapter 2
73(2)
Chapter 3 Hunt Process 75(62)
3.1. Defining Properties
75(5)
Exercises
78(2)
3.2. Analysis of Excessive Functions
80(7)
Exercises
87(1)
3.3. Hitting Times
87(9)
3.4. Balayage and Fundamental Structure
96(10)
Exercises
105(1)
3.5. Fine Properties
106(10)
Exercises
115(1)
3.6. Decreasing Limits
116(6)
Exercises
122(1)
3.7. Recurrence and Transience
122(8)
Exercises
130(1)
3.8. Hypothesis (B)
130(5)
Exercises
135(1)
Notes on Chapter 3
135(2)
Chapter 4 Brownian Motion 137(71)
4.1. Spatial Homogeneity
137(7)
Exercises
143(1)
4.2. Preliminary Properties of Brownian Motion
144(10)
Exercises
152(2)
4.3. Harmonic Function
154(8)
Exercises
160(2)
4.4. Dirichlet Problem
162(12)
Exercises
173(1)
4.5. Superharmonic Function and Supermartingale
174(15)
Exercises
187(2)
4.6. The Role of the Laplacian
189(10)
Exercises
198(1)
4.7. The Feynman-Kac Functional and the Schrödinger Equation
199(7)
Exercises
205(1)
Notes on Chapter 4
206(2)
Chapter 5 Potential Developments 208(25)
5.1. Quitting Time and Equilibrium Measure
208(10)
Exercises
217(1)
5.2. Some Principles of Potential Theory
218(14)
Exercises
229(3)
Notes on Chapter 5
232(1)
Chapter 6 Generalities 233(11)
6.1 Essential Limits
233(4)
6.2 Penetration Times
237(1)
6.3 General Theory
238(5)
Exercises
242(1)
Notes on Chapter 6
243(1)
Chapter 7 Markov Chains: a Fireside Chat 244(6)
7.1 Basic Examples
244(5)
Notes on Chapter 7
249(1)
Chapter 8 Ray Processes 250(41)
8.1 Ray Resolvents and Semigroups
250(4)
8.2 Branching Points
254(1)
8.3 The Ray Processes
255(3)
8.4 Jumps and Branching Points
258(1)
8.5 Martingales on the Ray Space
259(2)
8.6 A Feller Property of PX
261(2)
8.7 Jumps Without Branching Points
263(2)
8.8 Bounded Entrance Laws
265(1)
8.9 Regular Supermedian Functions
265(3)
8.10 Ray-Knight Compactifications: Why Every Markov Process is a Ray Process at Heart
268(6)
8.11 Useless Sets
274(2)
8.12 Hunt Processes and Standard Processes
276(3)
8.13 Separation and Supermedian Functions
279(7)
8.14 Examples
286(4)
Exercises
288(2)
Notes on Chapter 8
290(1)
Chapter 9 Application to Markov Chains 291(12)
9.1 Compactifications of Markov Chains
292(1)
9.2 Elementary Path Properties of Markov Chains
293(2)
9.3 Stable and Instantaneous States
295(2)
9.4 A Second Look at the Examples of Chapter 7
297(5)
Exercises
301(1)
Notes on Chapter 9
302(1)
Chapter 10 Time Reversal 303(17)
10.1 The Loose Transition Function
307(4)
10.2 Improving the Resolvent
311(5)
10.3 Proof of Theorem 10.1
316(1)
10.4 Removing Hypotheses (H1) and (H2)
316(1)
Notes on Chapter 10
317(3)
Chapter 11 h-Transforms 320(16)
11.1 Branching Points
321(1)
11.2 h-Transforms
321(3)
11.3 Construction of the h-Processes
324(2)
11.4 Minimal Excessive Functions and the Invariant Field
326(3)
11.5 Last Exit and Co-optional Times
329(3)
11.6 Reversing h-Transforms
332(2)
Exercises
334(1)
Notes on Chapter 11
334(2)
Chapter 12 Death and Transfiguration: A Fireside Chat 336(6)
Exercises
341(1)
Notes on Chapter 12
341(1)
Chapter 13 Processes in Duality 342(56)
13.1 Formal Duality
343(4)
13.2 Dual Processes
347(2)
13.3 Excessive Measures
349(2)
13.4 Simple Time Reversal
351(3)
13.5 The Moderate Markov Property
354(2)
13.6 Dual Quantities
356(5)
13.7 Small Sets and Regular Points
361(3)
13.8 Duality and h-Transforms
364(1)
Exercises
365(1)
13.9 Reversal From a Random Time
365(6)
13.10 Χζ_: Limits at the Lifetime
371(4)
13.11 Balayage and Potentials of Measures
375(2)
13.12 The Interior Reduite of a Function
377(7)
13.13 Quasi-left-continuity, Hypothesis (B), and Reduites
384(4)
13.14 Fine Symmetry
388(6)
13.15 Capacities and Last Exit Times
394(2)
Exercises
395(1)
Notes on Chapter 13
396(2)
Chapter 14 The Martin Boundary 398(18)
14.1 Hypotheses
398(1)
14.2 The Martin Kernel and the Martin Space
399(4)
14.3 Minimal Points and Boundary Limits
403(1)
14.4 The Martin Representation
404(4)
14.5 Applications
408(2)
14.6 The Martin Boundary for Brownian Motion
410(1)
14.7 The Dirichlet Problem in the Martin Space
411(3)
Exercises
413(1)
Notes on Chapter 14
414(2)
Chapter 15 The Basis of Duality: A Fireside Chat 416(5)
15.1 Duality Measures
416(1)
15.2 The Cofine Topology
417(3)
Notes on Chapter 15
420(1)
Bibliography 421(5)
Index 426

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