Applications of Model Theory to Functional Analysis
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Applications of Model Theory to Functional Analysis

  1. 112 pages
  2. English
  3. ePUB (mobile friendly)
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eBook - ePub

Applications of Model Theory to Functional Analysis

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About This Book

"The text is well written and easy to read. A great tool for any person interested in learning relations between functional analysis and model theory." ā€” MathSciNet
During the last two decades, methods that originated within mathematical logic have exhibited powerful applications to Banach space theory, particularly set theory and model theory. This volume constitutes the first self-contained introduction to techniques of model theory in Banach space theory. The area of research has grown rapidly since this monograph's first appearance, but much of this material is still not readily available elsewhere. For instance, this volume offers a unified presentation of Krivine's theorem and the Krivine-Maurey theorem on stable Banach spaces, with emphasis on the connection between these results and basic model-theoretic notions such as types, indiscernible sequences, and ordinal ranks.
Suitable for advanced undergraduates and graduate students of mathematics, this exposition does not presuppose expertise in either model theory or Banach space theory. Numerous exercises and historical notes supplement the text.

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Information

Year
2014
ISBN
9780486798615

CHAPTER 1

Preliminaries: Banach Space Models

1. Banach Space Structures and Banach Space Ultrapowers

A Banach space is finite dimensional if and only if the unit ball is compact, i.e., if and only if for every bounded family (xi)i
image
I
and every ultrafilter
image
on the set I, the
image
-limit
image
exists. If X is an infinite dimensional Banach space and
image
is an ultrafilter on a set I, there is a canonical way of expanding X to a larger Banach space
image
by adding for every bounded family (xi)i
image
I
in X an element
image
such that
image
This is accomplished through the construction of Banach space ultrapower, which we now define.
Let (Xi)i
image
I
be a family of normed spaces. Define
image
image
is naturally a vector space. An ultrafilter
image
on I induces a seminorm on
image
by defining
image
The set
image
of families (xi) in
image
such that
image
is obviously a closed subspace of
image
. We define
image
The space
image
is called the
image
-ultraproduct of (Xi)i
image
I
. If Xi = X for every i
image
I, the space
image
is called the
image
-ultrapower of X and is denoted
image
If (xi) is a family in
image
, let us denote by
image
the equivalence class of (xi) in
image
is an ultrapower of a normed space X, the map
image
where xi = x for every i
image
I, is an isometric embedding of X into
image
Hence, we may regard X as a subspace of
image
This embedding is generally not surjective; it is, however, when the ultrafilter
image
is principal or the space X is finite dimensional.
1.1. EXERCISE. An ultrafilter
image
is said to be countably incomp...

Table of contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Contents
  5. Chapter 0. Introduction
  6. Chapter 1. Preliminaries: Banach Space Models
  7. Chapter 2. Semidefinability of Types
  8. Chapter 3. Maurey Strong Types and Convolutions
  9. Chapter 4. Fundamental Sequences
  10. Chapter 5. Quantifier-Free Types Over Banach Spaces
  11. Chapter 6. Digression: Ramseyā€™s Theorem for Analysis
  12. Chapter 7. Spreading Models
  13. Chapter 8. lp- and c0-Types
  14. Chapter 9. Extensions of Operators by Ultrapowers
  15. Chapter 10. Where Does the Number p Come From?
  16. Chapter 11. Block Representability of lp in Types
  17. Chapter 12. Krivineā€™s Theorem
  18. Chapter 13. Stable Banach Spaces
  19. Chapter 14. Block Representability of lp in Types Over Stable Spaces
  20. Chapter 15. lp-Subspaces of Stable Banach Spaces
  21. Historical Remarks
  22. Bibliography
  23. Index of Notation
  24. Index