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This monograph isdevoted to a special area ofBanach space theory-the Kothe­ Bochner function space. Two typical questions in this area are: Question 1. Let E be a Kothe function space and X a Banach space. Does the Kothe-Bochner function space E(X) have the Dunford-Pettis property if both E and X have the same property? If the answer is negative, can we find some extra conditions on E and (or) X such that E(X) has the Dunford-Pettis property? Question 2. Let 1~ p~ 00, E a Kothe function space, and X a Banach space. Does either E or X contain an lp-sequence ifthe Kothe-Bochner function space E(X) has an lp-sequence? To solve the above two questions will not only give us a better understanding of the structure of the Kothe-Bochner function spaces but it will also develop some useful techniques that can be applied to other fields, such as harmonic analysis, probability theory, and operator theory. Let us outline the contents of the book. In the first two chapters we provide some some basic results forthose students who do not have any background in Banach space theory. We present proofs of Rosenthal's l1-theorem, James's theorem (when X is separable), Kolmos's theorem, N. Randrianantoanina's theorem that property (V*) is a separably determined property, and Odell-Schlumprecht's theorem that every separable reflexive Banach space has an equivalent 2R norm.




This monograph is devoted to the study of K?the–Bochner function spaces, an area of research at the intersection of Banach space theory, harmonic analysis, probability, and operator theory. A number of significant results—many scattered throughout the literature—are distilled and presented here, giving readers a comprehensive view of K?the–Bochner function spaces from the subject’s origins in functional analysis to its connections to other disciplines.

Key features and topics:

* Considerable background material provided, including a compilation of important theorems and concepts in classical functional analysis, as well as a discussion of the Dunford–Pettis Property, tensor products of Banach spaces, relevant geometry, and the basic theory of conditional expectations and martingales

* Rigorous treatment of K?the–Bochner spaces, encompassing convexity, measurability, stability properties, Dunford–Pettis operators, and Talagrand spaces, with a particular emphasis on open problems

* Detailed examination of Talagrand’s Theorem, Bourgain’s Theorem, and the Diaz–Kalton Theorem, the latter extended to arbitrary measure spaces *

"Notes and remarks" after each chapter, with extensive historical information, references, and questions for further study

* Instructive examples and many exercises throughout

 

Both expansive and precise, this book’s unique approach and systematic organization will appeal to advanced graduate students and researchers in functional analysis, probability, operator theory, and related fields.




This monograph is devoted to the study of K?the–Bochner function spaces, an area of research at the intersection of Banach space theory, harmonic analysis, probability, and operator theory. A number of significant results—many scattered throughout the literature—are distilled and presented here, giving readers a comprehensive view of K?the–Bochner function spaces from the subject’s origins in functional analysis to its connections to other disciplines.

Key features and topics:

* Considerable background material provided, including a compilation of important theorems and concepts in classical functional analysis, as well as a discussion of the Dunford–Pettis Property, tensor products of Banach spaces, relevant geometry, and the basic theory of conditional expectations and martingales

* Rigorous treatment of K?the–Bochner spaces, encompassing convexity, measurability, stability properties, Dunford–Pettis operators, and Talagrand spaces, with a particular emphasis on open problems

* Detailed examination of Talagrand’s Theorem, Bourgain’s Theorem, and the Diaz–Kalton Theorem, the latter extended to arbitrary measure spaces *

"Notes and remarks" after each chapter, with extensive historical information, references, and questions for further study

* Instructive examples and many exercises throughout

 

Both expansive and precise, this book’s unique approach and systematic organization will appeal to advanced graduate students and researchers in functional analysis, probability, operator theory, and related fields.


Content:
Front Matter....Pages i-xiii
Classical Theorems....Pages 1-100
Convexity and Smoothness....Pages 101-142
K?the-Bochner Function Spaces....Pages 143-218
Stability Properties I....Pages 219-246
Stability Properties II....Pages 247-312
Continuous Function Spaces....Pages 313-366
Back Matter....Pages 367-370


This monograph is devoted to the study of K?the–Bochner function spaces, an area of research at the intersection of Banach space theory, harmonic analysis, probability, and operator theory. A number of significant results—many scattered throughout the literature—are distilled and presented here, giving readers a comprehensive view of K?the–Bochner function spaces from the subject’s origins in functional analysis to its connections to other disciplines.

Key features and topics:

* Considerable background material provided, including a compilation of important theorems and concepts in classical functional analysis, as well as a discussion of the Dunford–Pettis Property, tensor products of Banach spaces, relevant geometry, and the basic theory of conditional expectations and martingales

* Rigorous treatment of K?the–Bochner spaces, encompassing convexity, measurability, stability properties, Dunford–Pettis operators, and Talagrand spaces, with a particular emphasis on open problems

* Detailed examination of Talagrand’s Theorem, Bourgain’s Theorem, and the Diaz–Kalton Theorem, the latter extended to arbitrary measure spaces *

"Notes and remarks" after each chapter, with extensive historical information, references, and questions for further study

* Instructive examples and many exercises throughout

 

Both expansive and precise, this book’s unique approach and systematic organization will appeal to advanced graduate students and researchers in functional analysis, probability, operator theory, and related fields.


Content:
Front Matter....Pages i-xiii
Classical Theorems....Pages 1-100
Convexity and Smoothness....Pages 101-142
K?the-Bochner Function Spaces....Pages 143-218
Stability Properties I....Pages 219-246
Stability Properties II....Pages 247-312
Continuous Function Spaces....Pages 313-366
Back Matter....Pages 367-370
....
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