In recent years, technological progress created a great need for complex mathematical models. Many practical problems can be formulated using optimization theory and they hope to obtain an optimal solution. In most cases, such optimal solution can not be found. So, non-convex optimization problems (
Young Measures and Compactness in Measure Spaces
β Scribed by Liviu C. Florescu; Christiane Godet-Thobie
- Publisher
- De Gruyter
- Year
- 2012
- Tongue
- English
- Leaves
- 352
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
In recent years, technological progress created a great need for complex mathematical models. Many practical problems can be formulated using optimization theory and they hope to obtain an optimal solution. In most cases, such optimal solution can not be found. So, non-convex optimization problems (arising, e.g., in variational calculus, optimal control, nonlinear evolutions equations) may not possess a classical minimizer because the minimizing sequences have typically rapid oscillations. This behavior requires a relaxation of notion of solution for such problems; often we can obtain such a relaxation by means of Young measures.
This monograph is a self-contained book which gathers all theoretical aspects related to the defining of Young measures (measurability, disintegration, stable convergence, compactness), a book which is also a useful tool for those interested in theoretical foundations of the measure theory. It provides a complete set of classical and recent compactness results in measure and function spaces.
The book is organized in three chapters: The first chapter covers background material on measure theory in abstract frame. In the second chapter the measure theory on topological spaces is presented. Compactness results from the first two chapters are used to study Young measures in the third chapter. All results are accompanied by full demonstrations and for many of these results different proofs are given. All statements are fully justified and proved.
β¦ Table of Contents
Preface
1 Weak Compactness in Measure Spaces
1.1 Measure Spaces
1.2 Radon-Nikodym Theorem. The Dual of L1
1.3 Convergences in L1(Ξ») and ca(A)
1.4 Weak Compactness in ca(A) and L1(Ξ»)
1.5 The Bidual of L1 (Ξ»)
1.6 Extensions of Dunford-Pettisβ Theorem
2 Bounded Measures on Topological Spaces
2.1 Regular Measures
2.2 Polish Spaces. Suslin Spaces
2.3 Narrow Topology
2.4 Compactness Results
2.5 Metrics on the Space (Rca+(β¬T), T)
2.5.1 Dudleyβs Metric
2.5.2 LΓ©vy-Prohorovβs Metric
2.6 Wiener Measure
3 Young Measures
3.1 Preliminaries
3.1.1 Disintegration
3.1.2 Integrands
3.2 Definitions and Examples
3.2.1 Young Measure Associated to a Probability
3.2.2 Young Measure Associated to a Measurable Mapping
3.3 The Stable Topology
3.4 The Subspace β³(S) β Y(S)
3.5 Compactness
3.6 Biting Lemma
3.7 Product of Young Measures
3.7.1 Fiber Product
3.7.2 Tensor Product
3.8 Jordan Finite Tight Sets
3.9 Strong Compactness in Lp(Β΅, E)
3.9.1 Visintin-Balderβs Theorem
3.9.2 Rossi-SavarΓ©βs Theorem
3.10 Gradient Young Measures
3.10.1 Young Measures Generated by Sequences
3.10.2 Quasiconvex Functions
3.10.3 Lower Semicontinuity
3.11 Relaxed Solutions in Variational Calculus
Bibliography
Index
π SIMILAR VOLUMES
Young measures are presented in a general setting which includes finite and for the first time infinite dimensional spaces: the fields of applications of Young measures (Control Theory, Calculus of Variations, Probability Theory...) are often concerned with problems in infinite dimensional settings.
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<p><P>From the reviews:</P><P></P><P>"This book presents a wealth of results on Young measures on topological spaces in a very general framework. It is very likely that it will become the reference and starting point for any further developments in the field." (Georg K. Dolzmann, Mathematical Review