ABSTRACT

The book discusses basic concepts of functional analysis, measure and integration theory, calculus of variations and duality and its applications to variational problems of non-convex nature, such as the Ginzburg-Landau system in superconductivity, shape optimization models, dual variational formulations for micro-magnetism and others. Numerical Methods for such and similar problems, such as models in flight mechanics and the Navier-Stokes system in fluid mechanics have been developed through the generalized method of lines, including their matrix finite dimensional approximations. It concludes with a review of recent research on Riemannian geometry applied to Quantum Mechanics and Relativity.

The book will be of interest to applied mathematicians and graduate students in applied mathematics. Physicists, engineers and researchers in related fields will also find the book useful in providing a mathematical background applicable to their respective professional areas.

part Section I|251 pages

Functional Analysis

chapter Chapter 1|25 pages

Metric Spaces

chapter Chapter 2|26 pages

Topological Vector Spaces

chapter Chapter 3|14 pages

Hilbert Spaces

chapter Chapter 5|14 pages

Topics on Linear Operators

chapter Chapter 7|25 pages

Basic Results on Measure and Integration

chapter Chapter 8|17 pages

The Lebesgue Measure in ℝ n

chapter Chapter 9|17 pages

Other Topics in Measure and Integration

chapter Chapter 10|6 pages

Distributions

chapter Chapter 11|51 pages

The Lebesgue and Sobolev Spaces

part Section II|115 pages

Calculus of Variations, Convex Analysis and Restricted Optimization

chapter Chapter 13|14 pages

More Topics on the Calculus of Variations

chapter Chapter 14|32 pages

Convex Analysis and Duality Theory

chapter Chapter 15|28 pages

Constrained Variational Optimization

part Section III|202 pages

Applications to Models in Physics and Engineering