Direct Methods in the Calculus of Variations

von: Bernard Dacorogna

Springer-Verlag, 2007

ISBN: 9780387552491 , 622 Seiten

2. Auflage

Format: PDF

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Mehr zum Inhalt

Direct Methods in the Calculus of Variations


 

Contents

6

Preface

12

Introduction

14

1.1 The direct methods of the calculus of variations

14

1.2 Convex analysis and the scalar case

16

1.3 Quasiconvex analysis and the vectorial case

22

1.4 Relaxation and non-convex problems

30

1.5 Miscellaneous

36

Convex analysis and the scalar case

41

Convex sets and convex functions

42

2.1 Introduction

42

2.2 Convex sets

43

2.3 Convex functions

55

Lower semicontinuity and existence theorems

83

3.1 Introduction

83

3.2 Weak lower semicontinuity

84

3.3 Weak continuity and invariant integrals

111

3.4 Existence theorems and Euler-Lagrange equations

115

The one dimensional case

128

4.1 Introduction

128

4.2 An existence theorem

129

4.3 The Euler-Lagrange equation

134

4.4 Some inequalities

141

4.5 Hamiltonian formulation

146

4.6 Regularity

152

4.7 Lavrentiev phenomenon

157

Quasiconvex analysis and the vectorial case

161

Polyconvex, quasiconvex and rank one convex functions

162

5.1 Introduction

162

5.2 Definitions and main properties

163

5.3 Examples

185

5.4 Appendix: some basic properties of determinants

256

Polyconvex, quasiconvex and rank one convex envelopes

271

6.1 Introduction

271

6.2 The polyconvex envelope

272

6.3 The quasiconvex envelope

277

6.4 The rank one convex envelope

283

6.5 Some more properties of the envelopes

286

6.6 Examples

291

Polyconvex, quasiconvex and rank one convex sets

319

7.1 Introduction

319

7.2 Polyconvex, quasiconvex and rank one convex sets

321

7.3 The different types of convex hulls

329

7.4 Examples

353

Lower semi continuity and existence theorems in the vectorial case

373

8.1 Introduction

373

8.2 Weak lower semicontinuity

374

8.3 Weak Continuity

399

8.4 Existence theorems

409

8.5 Appendix: some properties of Jacobians

413

Relaxation and non-convex problems

418

Relaxation theorems

419

9.1 Introduction

419

9.2 Relaxation Theorems

420

Implicit partial differential equations

442

10.1 Introduction

442

10.2 Existence theorems

443

10.3 Examples

454

Existence of minima for non- quasiconvex integrands

467

11.1 Introduction

467

11.2 Sufficient conditions

469

11.3 Necessary conditions

474

11.4 The scalar case

485

11.5 The vectorial case

489

Miscellaneous

502

Function spaces

503

12.1 Introduction

503

12.2 Main notation

503

12.3 Some properties of Hölder spaces

506

12.4 Some properties of Sobolev spaces

509

Singular values

514

13.1 Introduction

514

13.2 Definition and basic properties

514

13.3 Signed singular values and von Neumann type inequalities

518

Some underdetermined partial differential equations

527

14.1 Introduction

527

14.2 The equations div u = f and curl u = f

527

14.3 The equation det. u = f

533

Extension of Lipschitz functions on Banach spaces

546

15.1 Introduction

546

15.2 Preliminaries and notation

546

15.3 Norms induced by an inner product

548

15.4 Extension from a general subset of E to E

555

15.5 Extension from a convex subset of E to E

562

Bibliography

565

Notation

606

General notation

606

Convex analysis

606

Determinants and singular values

607

Quasiconvex analysis

609

Function spaces

609

Index

610