Variational Analysis in Sobolev and BV Spaces：Applications to PDEs and Optimization

This self-contained book is excellent for graduate-level courses devoted to variational analysis, optimization, and partial differential equations (PDEs). It provides readers with a complete guide to problems in these fields as well as a detailed presentation of the most important tools and methods of variational analysis. New trends in variational analysis are also presented, along with recent developments and applications in this area. Variational Analysis in Sobolev and BV Spaces: Applications to PDEs and Optimization is not just for students, however; it is a comprehensive guide for anyone who wants to approach the field of variational analysis in a systematic way, starting from the most classical examples and working up to a research level. This book also contains several applications to problems in geometry, mechanics, elasticity, and computer vision, along with a complete list of references.Organized in a way that makes it accessible to a large audience, the book is divided into two parts. In Part I, classical Sobolev spaces are introduced and the reader is provided with the basic tools and methods of variational analysis and optimization in infinite dimensional spaces, with applications to classical PDE problems. The last chapters in Part I introduce finite element methods and spectral analysis methods, the two most powerful tools that allow the computation of approximate solutions of variational problems. In Part II, BV(W) spaces are introduced and new trends in variational analysis are presented. In this part the reader is introduced to the flexibility of variational methods. This book is primarily for graduate students and researchers who want to approach the field of variational analysis in a systematic way. It also can be used as supplementary reading for engineers and researchers in phase transitions, computer vision, and applied optimization who have a solid background in mathematics. Contents Preface; Chapter 1: Introduction; Part I: First Part: Basic Variational Principles; Chapter 2: Weak solutions methods in variational analysis; Chapter 3: Abstract variational principles; Chapter 4: Complements on measure theory; Chapter 5: Sobolev spaces; Chapter 6: Variational problems: Some classical examples; Chapter 7: The finite element method; Chapter 8: Spectral Analysis of the Laplacian; Chapter 9: Convex duality and optimization; Part II: Second Part: Advanced Variational Analysis. Chapter 10: Spaces BV and SBV; Chapter 11: Relaxation in Sobolev, BV and Young measures spaces; Chapter 12: a-convergence and applications; Chapter 13: Integral functionals of the calculus of variations; Chapter 14: Application in mechanics and computer vision; Chapter 15: Variational problems with a lack of coercivity; Chapter 16: An introduction to shape optimization problems; Bibliography; Index.

Hedy Attouch is Professor of Mathematics at Universite Montpellier II, France. He is Director of Laboratoire d'Analyse Convexe and of ACSIOM (the analysis, computational, and optimization component of the Institute of Mathematics and Modelization of Montpellier). He has published 100 articles and has supervised 23 theses in the fields of variational analysis and optimization.Giuseppe Buttazzo is Professor of Mathematics at Universita di Pisa. He is an editor of several international journals and author of more than 130 scientific articles and 16 books. He has supervised 13 theses in the fields of calculus of variations, nonlinear PDEs, control theory, and related topics.Gerard Michaille is Professor at Centre Universitaire de Formation et de Recherche at Nimes (CUFR) and a member of the UMR-CNRS I3S of the Mathematical Department at Universite Montpellier II, France. He works in the fields of variational analysis and homogenization and their applications in mechanics.