Convex and Set-Valued Analysis

This textbook is devoted to a compressed and self-contained exposition of two important parts of contemporary mathematics: convex and set-valued analysis. In the first part, properties of convex sets, the theory of separation, convex functions and their differentiability, properties of convex cones in finite- and infinite-dimensional spaces are discussed. The second part covers some important parts of set-valued analysis. There the properties of the Hausdorff metric and various continuity concepts of set-valued maps are considered. The great attention is paid also to measurable set-valued functions, continuous, Lipschitz and some special types of selections, fixed point and coincidence theorems, covering set-valued maps, topological degree theory and differential inclusions.

Contents:
Preface
Part I: Convex analysis
Convex sets and their properties
The convex hull of a set. The interior of convex sets
The affine hull of sets. The relative interior of convex sets
Separation theorems for convex sets
Convex functions
Closedness, boundedness, continuity, and Lipschitz property of convex functions
Conjugate functions
Support functions
Differentiability of convex functions and the subdifferential
Convex cones
A little more about convex cones in infinite-dimensional spaces
A problem of linear programming
More about convex sets and convex hulls
Part II: Set-valued analysis
Introduction to the theory of topological and metric spaces
The Hausdorff metric and the distance between sets
Some fine properties of the Hausdorff metric
Set-valued maps. Upper semicontinuous and lower semicontinuous set-valued maps
A base of topology of the spaceHc(X)
Measurable set-valued maps. Measurable selections and measurable choice theorems
The superposition set-valued operator
The Michael theorem and continuous selections. Lipschitz selections. Single-valued approximations
Special selections of set-valued