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Notes on the Calculus of Variations and
Optimization
Preliminary Lecture Notes
Adolfo J. Rumbos
c
Draft date November 14, 2017
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Contents
1 Preface 5
2 Variational Problems 7
2.1 Minimal Surfaces . . . . . . . . . . . . . . . . . . . . . . . . . . . 7
2.2 Linearized Minimal Surface Equation . . . . . . . . . . . . . . . . 12
2.3 Vibrating String . . . . . . . . . . . . . . . . . . . . . . . . . . . 14
3 Indirect Methods 19
3.1 Geodesics in the plane . . . . . . . . . . . . . . . . . . . . . . . . 19
3.2 Fundamental Lemmas . . . . . . . . . . . . . . . . . . . . . . . . 25
3.3 The Euler–Lagrange Equations . . . . . . . . . . . . . . . . . . . 31
4 Convex Minimization 47
4.1 Gˆateaux Differentiability . . . . . . . . . . . . . . . . . . . . . . . 47
4.2 AMinimization Problem . . . . . . . . . . . . . . . . . . . . . . . 52
4.3 Convex Functionals . . . . . . . . . . . . . . . . . . . . . . . . . . 53
4.4 Convex Minimization Theorem . . . . . . . . . . . . . . . . . . . 62
5 Optimization with Constraints 65
5.1 Queen Dido’s Problem . . . . . . . . . . . . . . . . . . . . . . . . 65
5.2 Euler–Lagrange Multiplier Theorem . . . . . . . . . . . . . . . . 67
5.3 An Isoperimetric Problem . . . . . . . . . . . . . . . . . . . . . . 78
A Some Inequalities 87
A.1 The Cauchy–Schwarz Inequality . . . . . . . . . . . . . . . . . . . 87
B Theorems About Integration 89
B.1 Differentiating Under the Integral Sign . . . . . . . . . . . . . . . 89
B.2 The Divergence Theorem . . . . . . . . . . . . . . . . . . . . . . 90
C Continuity of Functionals 93
C.1 Definition of Continuity . . . . . . . . . . . . . . . . . . . . . . . 93
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4 CONTENTS
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