Preface. Acknowledgements. Contents.
1.1 Introduction 1.2 Vector Spaces 1.3 Normed Vector Spaces 1.4 Banach Spaces 1.5 Hilbert Space Problems
Lebesgue Integration and the Lp Spaces
2.1 Introduction 2.2 The Measure of a Set 2.3 Measurable Functions 2.4 Integration 2.5 The Lp Spaces 2.6 Applications Problems
Foundations of Linear Operator Theory
3.1 Introduction 3.2 The Basic Terminology of Operator Theory 3.3 Some Algebraic Properties of Linear Operators 3.4 Continuity and Boundedness 3.5 Some Fundamental Properties of Bounded Operators 3.6 First Results on the Solution of the Equation Lf=g 3.7 Introduction to Spectral Theory 3.8 Closed Operators and Differential Equations Problems
Introduction to Nonlinear Operators
4.1 Introduction 4.2 Preliminaries 4.3 The Contraction Mapping Principle 4.4 The Frechet Derivative 4.5 Newton's Method for Nonlinear Operators Problems
Compact Sets in Banach Spaces
5.1 Introduction 5.2 Definitions 5.3 Some Consequences of Compactness 5.4 Some Important Compact Sets of Functions Problems
The Adjoint Operator
6.1 Introduction 6.2 The Dual of a Banach Space 6.3 Weak Convergence 6.4 Hilbert Space 6.5 The Adjoint of a Bounded Linear Operator 6.6 Bounded Self-adjoint Operators -- Spectral Theory 6.7 The Adjoint of an Unbounded Linear Operator in Hilbert Space Problems
Linear Compact Operators
7.1 Introduction 7.2 Examples of Compact Operators 7.3 The Fredholm Alternative 7.4 The Spectrum 7.5 Compact Self-adjoint Operators 7.6 The Numerical Solution of Linear Integral Equations Problems
Nonlinear Compact Operators and Monotonicity
8.1 Introduction 8.2 The Schauder Fixed Point Theorem 8.3 Positive and Monotone Operators in Partially Ordered Banach Spaces Problems
The Spectral Theorem
9.1 Introduction 9.2 Preliminaries 9.3 Background to the Spectral Theorem 9.4 The Spectral Theorem for Bounded Self-adjoint Operators 9.5 The Spectrum and the Resolvent 9.6 Unbounded Self-adjoint Operators 9.7 The Solution of an Evolution Equation Problems
Generalized Eigenfunction Expansions Associated with Ordinary Differential Equations
10.1 Introduction 10.2 Extensions of Symmetric Operators 10.3 Formal Ordinary Differential Operators: Preliminaries 10.4 Symmetric Operators Associated with Formal Ordinary Differential Operators 10.5 The Construction of Self-adjoint Extensions 10.6 Generalized Eigenfunction Expansions Problems
Linear Elliptic Partial Differential Equations
11.1 Introduction 11.2 Notation 11.3 Weak Derivatives and Sobolev Spaces 11.4 The Generalized Dirichlet Problem 11.5 Fredholm Alternative for Generalized Dirichlet Problem 11.6 Smoothness of Weak Solutions 11.7 Further Developments Problems
The Finite Element Method
12.1 Introduction 12.2 The Ritz Method 12.3 The Rate of Convergence of the Finite Element Method Problems
Introduction to Degree Theory
13.1 Introduction 13.2 The Degree in Finite Dimensions 13.3 The Leray-Schauder Degree 13.4 A Problem in Radiative Transfer Problems
14.1 Introduction 14.2 Local Bifurcation Theory 14.3 Global Eigenfunction Theory Problems
References List of Symbols Index
Functional analysis is a powerful tool when applied to mathematical problems arising from physical situations. The present book provides, by careful selection of material, a collection of concepts and techniques essential for the modern practitioner. Emphasis is placed on the solution of equations (including nonlinear and partial differential equations). The assumed background is limited to elementary real variable theory and finite-dimensional vector spaces.
- Provides an ideal transition between introductory math courses and advanced graduate study in applied mathematics, the physical sciences, or engineering.
- Gives the reader a keen understanding of applied functional analysis, building progressively from simple background material to the deepest and most significant results.
- Introduces each new topic with a clear, concise explanation.
- Includes numerous examples linking fundamental principles with applications.
- Solidifies the reader’s understanding with numerous end-of-chapter problems.
· Provides an ideal transition between introductory math courses and advanced graduate study in applied mathematics, the physical sciences, or engineering. · Gives the reader a keen understanding of applied functional analysis, building progressively from simple background material to the deepest and most significant results. · Introduces each new topic with a clear, concise explanation. · Includes numerous examples linking fundamental principles with applications. · Solidifies the reader's understanding with numerous end-of-chapter problems.
Graduate and prost-graduate students, researchers, teachers and professors.
- No. of pages:
- © Elsevier Science 2005
- 8th February 2005
- Elsevier Science
- eBook ISBN:
- Hardcover ISBN:
University of Sheffield, UK
University of Sheffield, UK
Lawrence Technological University, Southfield, USA