The Generic Chaining

1. Front Matter

   Pages I-VIII

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2. Introduction

   Pages 1-3

3. Overview and Basic Facts

   Pages 5-31

4. Gaussian Processes and Related Structures

   Pages 33-87

5. Matching Theorems

   Pages 89-128

6. The Bernoulli Conjecture

   Pages 129-144

7. Families of distances

   Pages 145-183

8. Applications to Banach Space Theory

   Pages 185-216

9. Back Matter

   Pages 217-224

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Author's Note: 

The material of this book has been reworked and expanded with a lot more detail and published in the author's 2014 book "Upper and Lower Bounds for Stochastic Processes" (Ergebnisse Vol. 60, ISBN 978-3-642-54074-5). That book is much easier to read and covers everything that is in "The Generic Chaining" book in a more detailed and comprehensible way.   


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What is the maximum level a certain river is likely to reach over the next 25 years? (Having experienced three times a few feet of water in my house, I feel a keen personal interest in this question. ) There are many questions of the same nature: what is the likely magnitude of the strongest earthquake to occur during the life of a planned building, or the speed of the strongest wind a suspension bridge will have to stand? All these situations can be modeled in the same manner. The value X of the quantity of interest (be it water t level or speed of wind) at time t is a random variable. What can be said about the maximum value of X over a certain range of t? t A collection of random variables (X ), where t belongs to a certain index t set T, is called a stochastic process, and the topic of this book is the study of the supremum of certain stochastic processes, and more precisely to ?nd upper and lower bounds for the quantity EsupX . (0. 1) t t?T Since T might be uncountable, some care has to be taken to de?ne this quantity. For any reasonable de?nition of Esup X we have t t?T EsupX =sup{EsupX ; F?T,F ?nite} , (0. 2) t t t?T t?F an equality that we will take as the de?nition of the quantity Esup X . t t?T Thus, the crucial case for the estimation of the quantity (0.

• Gaussian process
• Gaussian processes
• Stochastic processes
• infinitely divisible processes
• matchings
• stochastic process

From the reviews:

"This textbook gives a systematic approach to the problem of deriving good bounds for stochastic processes using the ‘generic chaining’ method … . The presentation in this book … takes the reader from a simple and intuitive explanation of the basic idea underlying the chaining technique to the edge of today’s knowledge. … The entertaining and sometimes humorous style makes this book a pleasure to read." (Dierk Peithmann, Zentralblatt MATH, Vol. 1075, 2006)

"The results discussed in the book involve a tremendous amount of creativity … . I believe that the monograph is of interest to anyone who works even remotely with indexed families of maps… . is of interest to almost everyone who works in probability, analysis, or ergodic theory even if she/he has not done any research involving the topics covered by the volume under review. … I want to emphasize the fact that the book is of interest to a larger audience … ." (Radu Zaharopol, SIAM Review, Vol. 49 (2), 2007)

• Equipe d’Analyse fonctionelle Institut Mathématiques de Jussieu U.M.R. 7586 C.N.R.S., Université Paris VI, Paris, France

  Michel Talagrand

• The Ohio-State University, Columbus, USA

  Michel Talagrand

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