Geometric Functional Analysis and its Applications

by R. B. Holmes

Overview

This book has evolved from my experience over the past decade in teaching and doing research in functional analysis and certain of its applications. These applications are to optimization theory in general and to best approximation theory in particular. The geometric nature of the subjects has greatly influenced the approach to functional analysis presented herein, especially its basis on the unifying concept of convexity. Most of the major theorems either concern or depend on properties of convex sets; the others generally pertain to conjugate spaces or compactness properties, both of which topics are important for the proper setting and resolution of optimization problems. In consequence, and in contrast to most other treatments of functional analysis, there is no discussion of spectral theory, and only the most basic and general properties of linear operators are established. Some of the theoretical highlights of the book are the Banach space theorems associated with the names of Dixmier, Krein, James, Smulian, Bishop-Phelps, Brondsted-Rockafellar, and Bessaga-Pelczynski. Prior to these (and others) we establish to two most important principles of geometric functional analysis: the extended Krein-Milman theorem and the HahnBanach principle, the latter appearing in ten different but equivalent formulations (some of which are optimality criteria for convex programs). In addition, a good deal of attention is paid to properties and characterizations of conjugate spaces, especially reflexive spaces.

Product Details

ISBN-13:	9781468493719
Publisher:	Springer New York
Publication date:	12/12/2012
Series:	Graduate Texts in Mathematics , #24
Edition description:	Softcover reprint of the original 1st ed. 1975
Pages:	246
Product dimensions:	6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

I Convexity in Linear Spaces.- § 1. Linear Spaces.- § 2. Convex Sets.- § 3. Convex Functions.- § 4. Basic Separation Theorems.- § 5. Cones and Orderings.- § 6. Alternate Formulations of the Separation Principle.- § 7. Some Applications.- § 8. Extremal Sets.- Exercises.- II Convexity in Linear Topological Spaces.- § 9. Linear Topological Spaces.- §10. Locally Convex Spaces.- §11. Convexity and Topology.- §12. Weak Topologies.- §13. Extreme Points.- §14. Convex Functions and Optimization.- §15. Some More Applications.- Exercises.- III Principles of Banach Spaces.- §16. Completion, Congruence, and Reflexivity.- §17. The Category Theorems.- §18. The Smulian Theorems.- §19. The Theorem of James.- §20. Support Points and Smooth Points.- §21. Some Further Applications.- Exercises.- IV Conjugate Spaces and Universal Spaces.- §22. The Conjugate of C(?,—).- §23. Properties and Characterizations of Conjugate Spaces.- §24. Isomorphism of Certain Conjugate Spaces.- §25. Universal Spaces.- Exercises.- References.- Symbol Index.