Society for Industrial and Applied Mathematics eBooks· 2013
Linear and Nonlinear Functional Analysis with Applications
- 573citations
- 2013year
Short summary
This textbook provides a comprehensive introduction to linear and nonlinear functional analysis, featuring self-contained proofs and numerous applications to partial differential equations, numerical analysis, and optimization.
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Key points
- Covers core topics in linear and nonlinear functional analysis.
- Includes numerous applications to PDEs, numerical analysis, and optimization.
- Features self-contained proofs for most theorems.
- Contains 401 problems and 52 figures for pedagogical support.
- Provides historical notes and original references on the genesis of results.
AI-generated from the title and abstract; the full text is not read.
Abstract
This single-volume textbook covers the fundamentals of linear and nonlinear functional analysis, illustrating most of the basic theorems with numerous applications to linear and nonlinear partial differential equations and to selected topics from numerical analysis and optimization theory. This book has pedagogical appeal because it features self-contained and complete proofs of most of the theorems, some of which are not always easy to locate in the literature or are difficult to reconstitute. It also offers 401 problems and 52 figures, plus historical notes and many original references that provide an idea of the genesis of the important results, and it covers most of the core topics from functional analysis. Audience: Linear and Nonlinear Functional Analysis with Applications is intended for advanced undergraduates, graduate students, and researchers and is ideal for teaching or self-study. Contents: Preface; Chapter 1: Real analysis and theory of functions: A quick review; Chapter 2: Normed vector spaces; Chapter 3: Banach spaces; Chapter 4: Inner-product spaces and Hilbert spaces; Chapter 5: The great theorems of linear functional analysis; Chapter 6: Linear partial differential equations; Chapter 7: Differential calculus in normed vector spaces; Chapter 8: Differential geometry in Rn; Chapter 9: The great theorems of nonlinear functional analysis; Bibliographical notes; Bibliography; Main notations; Index.
The authors' abstract, as published at the source. Society for Industrial and Applied Mathematics eBooks, 2013 · DOI ↗
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Field: Numerical Analysis
Numerical AnalysisMathematics