Functional Analysis
- 2nd Edition - January 1, 1982
- Latest edition
- Authors: L. V. Kantorovich, G. P. Akilov
- Language: English
- Paperback ISBN:9 7 8 - 0 - 0 8 - 0 2 6 4 8 6 - 8
- eBook ISBN:9 7 8 - 1 - 4 8 3 1 - 3 8 2 5 - 1
Functional Analysis, Second Edition is an exposition of the theory of topological vector spaces, partially ordered spaces, and the development of the theory of integral operators… Read more
Functional Analysis, Second Edition is an exposition of the theory of topological vector spaces, partially ordered spaces, and the development of the theory of integral operators and their representations on ideal spaces of measurable functions. Although this edition has deviated substantially from the first edition, it has still retained the overall plan, selection, and arrangement of the topics.
The text is primarily devoted to the applications of functional analysis to applied analysis. However, these concepts have been extended and modernized. Some topics of functional analysis connected with applications to mathematical economics and control theory are also included in this edition.
The applications of functional analysis are both wide and far-reaching as these are common language for all areas of mathematics involving the concept of continuity. Those who are in the field of mathematics, mechanics, and theoretical physics will find this book a valuable resource.
Preface to the Second Edition
From the Preface to the First Edition
Part I Linear Operators and Functionals
Chapter I. Topological and Metric Spaces
§ 1. General Information on Sets. Ordered Sets
§ 2. Topological Spaces
§ 3. Metric Spaces
§ 4. Completeness and Separability. Sets of the First and Second Categories
§ 5. Compactness in Metric Spaces
§ 6. Measure Spaces
Chapter II. Vector Spaces
§ 1. Basic Definitions
§ 2. Linear Operators and Functional
§ 3. Convex Sets and Seminorms
§ 4. The Hahn-Banach Theorem
Chapter III. Topological Vector Spaces
§ 1. General Definitions
§ 2. Locally Convex Spaces
§ 3. Duality
Chapter IV. Normed Spaces
§ 1. Basic Definitions and Simplest Properties of Normed Spaces
§ 2. Auxiliary Inequalities
§ 3. Normed Spaces of Measurable Functions and Sequences
§ 4. Other Normed Spaces of Functions
§ 5. Hilbert Space
Chapter V. Linear Operators and Functionals
§ 1. Spaces of Operators and Dual Spaces
§ 2. Some Functionals and Operators on Specific Spaces
§ 3. Linear Functionals and Operators on Hilbert Space
§ 4. Rings of Operators
§ 5. The Method of Successive Approximations
§ 6. The Ring of Operators on a Hilbert Space
§ 7. The Weak Topology and Reflexive Spaces
§ 8. Extensions of Linear Operators
Chapter VI. The Analytic Representation of Functionals
§ 1. Integral Representations for Functionals on Spaces of Measurable Functions
§ 2. The Spaces Lp(T,Σ,µ)
§ 3. A General Form for Linear Functionals on the Space C(K)
Chapter VII. Sequences of Linear Operators
§ 1. Basic Theorems
§ 2. Some Applications to the Theory of Functions
Chapter VIII. The Weak Topology in a Banach Space
§ 1. Weakly Bounded Sets
§ 2. Eberlein-ShmuTyan Theory
§ 3. Weak Convergence in Specific Spaces
§ 4. The Problem of Translocation of Mass and the Normed Space it Generates
Chapter IX. Compact and Adjoint Operators
§ 1. Compact Sets in Normed Spaces
§ 2. Compact Operators
§ 3. Adjoint Operators
§ 4. Compact Self-Adjoint Operators on Hilbert Space
§ 5. Integral Representations of Self-Adjoint Operators
Chapter X. Ordered Normed Spaces
§ 1. Vector Lattices
§ 2. Linear Operators and Functionals
§ 3. Normed Lattices
§ 4. XB-Spaces
§ 5. Convex Sets That are Closed with Respect to Convergence in Measure
Chapter XI. Integral Operators
§ 1. Integral Representations of Operators
§ 2. Operators on Sequence Spaces
§ 3. Integral Operators on Function Spaces
§ 4. Sobolev's Embedding Theorems
Part II Functional Equations
Chapter XII. The Adjoint Equation
§ 1. Theorems on Inverse Operators
§ 2. The Connection between an Equation and its Adjoint
Chapter XIII. Functional Equations of the Second Kind
§ 1. Equations with Compact Kernels
§ 2. Complex Normed Spaces
§ 3. The Spectrum
§ 4. Resolvents
§ 5. The Fredholm Alternative
§ 6. Applications to Integral Equations
§ 7. Invariant Subspaces of Compact Operators. The Approximation Problem
Chapter XIV. A General Theory of Approximation Methods
§ 1. A General Theory for Equations of the Second Kind
§ 2. Equations Reducible to Equations of the Second Kind
§ 3. Applications to Infinite Systems of Equations
§ 4. Applications to Integral Equations
§ 5. Applications to Ordinary Differential Equations
§ 6. Applications to Boundary-Value Problems for Equations of Elliptic Type
Chapter XV. The Method of Steepest Descent
§ 1. The Solution of Linear Equations
§ 2. Determination of the Eigenvalues of Compact Operators
§ 3. Applications to Elliptic Differential Equations
§ 4. Minimization of Convex Differentiable Functionals
§ 5. Minimization of Convex Functionals on Finite-Dimensional Spaces
Chapter XVI. The Fixed-Point Principle
§ 1. The Caccioppoli-Banach Principle
§ 2. Auxiliary Propositions
§ 3. Schauder's Principle
§ 4. Applications of the Fixed-Point Principle
§ 5. Kakutani's Theorem
Chapter XVII. Differentiation of Non-Linear Operators
§ 1. The First Derivative
§ 2. Second Derivatives and Bilinear Operators
§ 3. Examples
§ 4. The Implicit Function Theorem
Chapter XVIII. Newton's Method
§ 1. Equations of the Form P(x) = 0
§ 2. Consequences of the Convergence Theorem for Newton's Method
§ 3. Applications of Newton's Method to Specific Functional Equations
§ 4. Newton's Method in Lattice-Normed Spaces
Monographs on Functional Analysis and Related Topics
References
Subject Index
Index of Notation
Index of Abbreviations
- Edition: 2
- Latest edition
- Published: January 1, 1982
- Language: English