InhaltsangabePreface to Third Edition. Preface to Second Edition. Preface to First Edition. 0 Preliminaries. 0.1 Heat Conduction. 0.2 Diffusion. 0.3 ReactionDiffusion Problems. 0.4 The Impulse-Momentum Law: The Motion of Rods and Strings. 0.5 Alternative Formulations of Physical Problems. 0.6 Notes on Convergence. 0.7 The Lebesgue Integral. 1 Green's Functions (Intuitive Ideas). 1.1 Introduction and General Comments. 1.2 The Finite Rod. 1.3 The Maximum Principle. 1.4 Examples of Green's Functions. 2 The Theory of Distributions. 2.1 Basic Ideas, Definitions, and Examples. 2.2 Convergence of Sequences and Series of Distributions. 2.3 Fourier Series. 2.4 Fourier Transforms and Integrals. 2.5 Differential Equations in Distributions. 2.6 Weak Derivatives and Sobolev Spaces. 3 OneDimensional Boundary Value Problems. 3.1 Review. 3.2 Boundary Value Problems for Second-Order Equations. 3.3 Boundary Value Problems for Equations of Order p. 3.4 Alternative Theorems. 3.5 Modified Green's Functions. 4 Hilbert and Banach Spaces. 4.1 Functions and Transformations. 4.2 Linear Spaces. 4.3 Metric Spaces, Normed Linear Spaces, and Banach Spaces. 4.4 Contractions and the Banach Fixed-Point Theorem. 4.5 Hilbert Spaces and the Projection Theorem. 4.6 Separable Hilbert Spaces and Orthonormal Bases. 4.7 Linear Functionals and the Riesz Representation Theorem. 4.8 The HahnBanach Theorem and Reflexive Banach Spaces. 5 Operator Theory. 5.1 Basic Ideas and Examples. 5.2 Closed Operators. 5.3 Invertibility: The State of an Operator. 5.4 Adjoint Operators. 5.5 Solvability Conditions. 5.6 The Spectrum of an Operator. 5.7 Compact Operators. 5.8 Extremal Properties of Operators. 5.9 The Banach-Schauder and Banach-Steinhaus Theorems. 6 Integral Equations. 6.1 Introduction. 6.2 Fredholm Integral Equations. 6.3 The Spectrum of a Self-Adjoint Compact Operator. 6.4 The Inhomogeneous Equation. 6.5 Variational Principles and Related Approximation Methods. 7 Spectral Theory of Second-Order Differential Operators. 7.1 Introduction; The Regular Problem. 7.2 Weyl's Classification of Singular Problems. 7.3 Spectral Problems with a Continuous Spectrum. 8 Partial Differential Equations. 8.1 Classification of Partial Differential Equations. 8.2 WellPosed Problems for Hyperbolic and Parabolic Equations. 8.3 Elliptic Equations. 8.4 Variational Principles for Inhomogeneous Problems. 8.5 The LaxMilgram Theorem. 9 Nonlinear Problems. 9.1 Introduction and Basic Fixed-Point Techniques. 9.2 Branching Theory. 9.3 Perturbation Theory for Linear Problems. 9.4 Techniques for Nonlinear Problems. 9.5 The Stability of the Steady State. 10 Approximation Theory and Methods. 10.1 Nonlinear Analysis Tools for Banach Spaces. 10.2 Best and Near-Best Approximation in Banach Spaces. 10.3 Overview of Sobolev and Besov Spaces. 10.4 Applications to Nonlinear Elliptic Equations. 10.5 Finite Element and Related Discretization Methods. 10.6 Iterative Methods for Discretized Linear Equations. 10.7 Methods for Nonlinear Equations. Index.

IVAR STAKGOLD, PhD, is Professor Emeritus and former Chair of the Department of Mathematical Sciences at the University of Delaware. He is former president of the Society for Industrial and Applied Mathematics (SIAM), where he was also named a SIAM Fellow in the inaugural class of 2009. Dr. Stakgold's research interests include nonlinear partial differential equations, reaction-diffusion, and bifurcation theory. MICHAEL HOLST, PhD, is Professor in the Departments of Mathematics and Physics at the University of California, San Diego, where he is also CoDirector of both the Center for Computational Mathematics and the Doctoral Program in Computational Science, Mathematics, and Engineering. Dr. Holst has published numerous articles in the areas of applied analysis, computational mathematics, partial differential equations, and mathematical physics.

Preface to Third Edition. Preface to Second Edition. Preface to First Edition. 0 Preliminaries. 1 Heat Conduction. 2 Diffusion. 3 Reaction-Diffusion Problems. 4 The Impulse-Momentum Law: The Motion of Rods and Strings. 5 Alternative Formulations of Physical Problems. 6 Notes on Convergence. 7 The Lebesgue Integral. 1 Green''s Functions (Intuitive Ideas). 1 Introduction and General Comments. 2 The Finite Rod. 3 Maximum Principle. 4 Examples of Green''s Functions. 2 The Theory of Distributions. 1 Basic Ideas, Definitions, Examples. 2 Convergence of Sequences and Series of Distributions. 3 Fourier Series. 4 Fourier Transforms and Integrals. 5 Differential Equations in Distributions. 6 Weak Derivatives and Sobolev Spaces. 3 One-Dimensional Boundary Value Problems. 1 Review. 2 Boundary Value Problems for Second-Order Equations. 3 Boundary Value Problems for Equations of Order. 4 Alternative Theorems. 5 Modified Green?s Functions. 4 Hilbert and Banach Spaces. 1 Functions and Transformations. 2 Linear Spaces. 3 Metric Spaces, Normed Linear Spaces, Banach Spaces. 4 Contractions and the Banach Fixed-Point Theorem. 5 Hilbert Spaces, the Projection Theorem. 6 Separable Hilbert Spaces and Orthonormal Bases. 7 Linear Functionals, the Riesz Representation Theorem. 8 The Hahn-Banach Theorem, Reflexive Banach Spaces. 5 Operator Theory. 1 Basic Ideas and Examples. 2 Closed Operators. 3 Invertibility--the State of an Operator. 4 Adjoint Operators. 5 Solvability Conditions. 6 The Spectrum of an Operator. 7 Compact Operators. 8 Extremal Properties of Operators. 9 The Banach-Schauder and Banach-Steinhaus Theorems. 6 Integral Equations 353. 1 Introduction. 2 Fredholm Integral Equations. 3 The Spectrum of a Self-Adjoint Compact Operator. 4 The Inhomogeneous Equation. 5 Variational Principles And Related Approximation Methods. 7 Spectral Theory of Second-Order Differential Operators. 1 Introduction; The Regular Problem. 2 Weyl''s Classification of Singular Problems. 3 Spectral Problems with a Continuous Spectrum. 8 Partial Differential Equations. 1 Classification Of Partial Differential Equations. 2 Typical Well-Posed Problems for Hyperbolic and Parabolic Equations. 3 Elliptic Equations. 4 Variational Principles for Inhomogeneous Problems. 5 The Lax-Milgram Theorem. 9 Nonlinear Problems. 1 Introduction and Basic Fixed-Point Techniques. 2 Branching Theory. 3 Perturbation Theory for Linear Problems. 4 Techniques For Nonlinear Problems. 5 The Stability of the Steady State. 10 Approximation Theory and Methods. 1 Nonlinear Analysis Tools for Banach Spaces. 2 Best and Near-Best Approximation in Banach Spaces. 3 Overview of Sobolev and Besov Spaces. 4 Applications to Elliptic Partial Differential Equations. 5 Finite Element and Related Discretization Methods. 6 Iterative Methods for Discretized Linear Equations. 7 Methods for Nonlinear Equations.