<p><p>In this book, fundamental methods of nonlinear analysis are introduced, discussed and illustrated in straightforward examples. Each method considered is motivated and explained in its general form, but presented in an abstract framework as comprehensively as possible. A large number of methods
Methods of Nonlinear Analysis : Applications to Differential Equations
✍ Scribed by Pavel Drábek; Jaroslav Milota
- Publisher
- Birkhauser
- Year
- 2013
- Tongue
- English
- Leaves
- 652
- Series
- Birkhäuser Advanced Texts Basler Lehrbücher
- Edition
- 2ed.
- Category
- Library
No coin nor oath required. For personal study only.
✦ Synopsis
Of Methods Presented in This Book.In this book, fundamental methods of nonlinear analysis are introduced, discussed and illustrated in straightforward examples. Each method considered is motivated and explained in its general form, but presented in an abstract framework as comprehensively as possible. A large number of methods are applied to boundary value problems for both ordinary and partial differential equations. In this edition we have made minor revisions, added new material and organized the content slightly differently. In particular, we included evolutionary equations and differential equations on manifolds. The appl. Read more... Methods of Nonlinear Analysis; Applications to Differential Equations; Contents; Preface; Chapter 1 Preliminaries; 1.1 Elements of Linear Algebra; 1.2 Normed Linear Spaces; Chapter 2 Properties of Linear and Nonlinear Operators; 2.1 Linear Operators; 2.2 Compact Linear Operators; 2.3 Contraction Principle; Chapter 3 Abstract Integral and Differential Calculus; 3.1 Integration of Vector Functions; 3.2 Differential Calculus in Normed Linear Spaces; 3.2A Newton Method; Chapter 4 Local Properties of Differentiable Mappings; 4.1 Inverse Function Theorem; 4.2 Implicit Function Theorem. 4.3 Local Structure of Differentiable Maps, Bifurcations4.3A Differentiable Manifolds, Tangent Spaces and Vector Fields; 4.3B Differential Forms; 4.3C Integration on Manifolds; Chapter 5 Topological Methods; 5.1 Brouwer Fixed Point Theorem; 5.1A Contractible Sets; 5.2 Schauder Fixed Point Theorem; 5.2A Fixed Point Theorems for Noncompact Operators; 5.3 Classical Solutions of PDEs, Functional Setting; 5.4 Classical Solutions, Applications of Fixed Point Theorems; 5.5 Weak Solutions of PDEs, Functional Setting; 5.6 Weak Solutions of PDEs, Applications of Fixed Point Theorems. 5.7 Brouwer Topological Degree5.7A Brouwer Topological Degree on Manifolds; 5.8 Leray-Schauder Topological Degree; 5.8A Global Bifurcation Theorem; 5.8B Topological Degree for Generalized Monotone Operators; 5.9 Weak Solutions of PDEs, Applications of Degree Theory; 5.9A Weak Solutions of PDEs, Application of the Degree of Generalized Monotone Mappings; Chapter 6 Monotonicity Methods; 6.1 Theory of Monotone Operators; 6.1A Browder and Leray-Lions Theorem; 6.2 Weak Solutions of PDEs, Application of Monotone Operators; 6.2A Weak Solutions of PDEs, Application of Leray-Lions Theorem. 6.3 Supersolutions, Subsolutions, Monotone Iterations6.3A Minorant Principle and Krein-Rutman Theorem; 6.3B Supersolutions, Subsolutions and Topological Degree; 6.4 Maximum Principle for ODEs; 6.5 Maximum Principle for PDEs; Chapter 7 Variational Methods; 7.1 Local Extrema; 7.2 Global Extrema; 7.2A Supersolutions, Subsolutions and Global Extrema; 7.2B Ritz Method; 7.3 Weak Solutions of PDEs, Applications of Global Minimizers; 7.4 Mountain Pass Theorem; 7.4A Pseudogradient Vector Fields in Banach Spaces; 7.5 Weak Solutions of PDEs, Applications of Mountain Pass Theorem. 7.6 Saddle Point Theorem7.6A Linking Theorem; 7.7 Weak Solutions of PDEs, Applications of Saddle Point Theorem; 7.7A Weak Solutions of PDEs, Applications of General Saddle Point Theorem; 7.8 Relative Extrema and Lagrange Multipliers; 7.8A Lusternik-Schnirelmann Method; 7.8B Krasnoselski Potential Bifurcation Theorem; Chapter 8 Some Applications to Partial Differential Equations; 8.1 Linear Evolution Equations and Semigroups; 8.2 Semilinear Evolution Equations; 8.3 Linearization of Quasilinear PDEs and Fixed Point Theorems; 8.4 Equations on Riemann Manifolds
✦ Table of Contents
Cover......Page 1
Applications to Differential Equations......Page 4
Contents......Page 6
Preface......Page 10
1.1 Elements of Linear Algebra......Page 12
1.2 Normed Linear Spaces......Page 35
2.1 Linear Operators......Page 65
2.2 Compact Linear Operators......Page 88
2.3 Contraction Principle......Page 103
3.1 Integration of Vector Functions......Page 118
3.2 Differential Calculus in Normed Linear Spaces......Page 135
3.2A Newton Method......Page 153
4.1 Inverse Function Theorem......Page 158
4.2 Implicit Function Theorem......Page 165
4.3 Local Structure of Differentiable Maps, Bifurcations......Page 175
4.3A Differentiable Manifolds, Tangent Spaces and Vector Fields......Page 202
4.3B Differential Forms......Page 216
4.3C Integration on Manifolds......Page 229
5.1 Brouwer Fixed Point Theorem......Page 251
5.1A Contractible Sets......Page 258
5.2A Fixed Point Theorems for Noncompact Operators......Page 265
5.2 Schauder Fixed Point Theorem......Page 260
5.3 Classical Solutions of PDEs, Functional Setting......Page 272
5.4 Classical Solutions, Applications of Fixed Point Theorems......Page 276
5.5 Weak Solutions of PDEs, Functional Setting......Page 279
5.6 Weak Solutions of PDEs, Applications of Fixed Point Theorems......Page 285
5.7 Brouwer Topological Degree......Page 291
5.7A Brouwer Topological Degree on Manifolds......Page 301
5.8 Leray-Schauder Topological Degree......Page 321
5.8A Global Bifurcation Theorem......Page 339
5.8B Topological Degree for Generalized Monotone Operators......Page 347
5.9 Weak Solutions of PDEs, Applications of Degree Theory......Page 354
5.9A Weak Solutions of PDEs, Application of the Degree of Generalized Monotone Mappings......Page 361
6.1 Theory of Monotone Operators......Page 368
6.1A Browder and Leray–Lions Theorem......Page 382
6.2 Weak Solutions of PDEs, Application of Monotone Operators......Page 388
6.2A Weak Solutions of PDEs, Application of Leray–Lions Theorem......Page 393
6.3 Supersolutions, Subsolutions, Monotone Iterations......Page 398
6.3A Minorant Principle and Krein–Rutman Theorem......Page 407
6.3B Supersolutions, Subsolutions and Topological Degree......Page 420
6.4 Maximum Principle for ODEs......Page 428
6.5 Maximum Principle for PDEs......Page 435
7.1 Local Extrema......Page 441
7.2 Global Extrema......Page 455
7.2A Supersolutions, Subsolutions and Global Extrema......Page 470
7.2B Ritz Method......Page 473
7.3 Weak Solutions of PDEs, Applications of Global Minimizers......Page 483
7.4 Mountain Pass Theorem......Page 485
7.4A Pseudogradient Vector Fields in Banach Spaces......Page 495
7.5 Weak Solutions of PDEs, Applications of Mountain Pass Theorem......Page 501
7.6 Saddle Point Theorem......Page 505
7.6A Linking Theorem......Page 514
7.7 Weak Solutions of PDEs, Applications of Saddle Point Theorem......Page 521
7.7A Weak Solutions of PDEs, Applications of General Saddle Point Theorem......Page 527
7.8 Relative Extrema and Lagrange Multipliers......Page 533
7.8A Lusternik–Schnirelmann Method......Page 546
7.8B Krasnoselski Potential Bifurcation Theorem......Page 560
8.1 Linear Evolution Equations and Semigroups......Page 571
8.2 Semilinear Evolution Equations......Page 581
8.3 Linearization of Quasilinear PDEs and Fixed Point Theorems......Page 591
8.4 Equations on Riemann Manifolds......Page 601
Monotonicity Methods......Page 614
Approximative Methods......Page 615
Semilinear Problems — Ordinary Differential Equations......Page 616
Semilinear Problems — Partial Differential Equations......Page 618
Quasilinear Problems — Partial Differential Equations......Page 619
Semilinear Evolution Equations — Partial Differential Equations......Page 620
Comparison of Bifurcation Results Presented in This Book......Page 621
List of Symbols......Page 623
Index......Page 627
Bibliography......Page 644
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