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4.3 Fermat, Tangent Lines, and Extrema

  • Paul J. Nahin
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When Least Is Best
This chapter is in the book When Least Is Best
© 2021 Princeton University Press, Princeton

© 2021 Princeton University Press, Princeton

Chapters in this book

  1. Frontmatter i
  2. Contents ix
  3. Preface to the 2021 Edition xiii
  4. Preface to the 2007 Paperback Edition xix
  5. Preface xxvii
  6. 1. Minimums, Maximums, Derivatives, and Computers
  7. 1.1 Introduction 1
  8. 1.2 When Derivatives Don’t Work 4
  9. 1.3 Using Algebra to Find Minimums 5
  10. 1.4 A Civil Engineering Problem 9
  11. 1.5 The AM-GM Inequality 13
  12. 1.6 Derivatives from Physics 20
  13. 1.7 Minimizing with a Computer 24
  14. 2. The First Extremal Problems
  15. 2.1 The Ancient Confusion of Length and Area 37
  16. 2.2 Dido’s Problem and the Isoperimetric Quotient 45
  17. 2.3 Steiner’s “Solution” to Dido’s Problem 56
  18. 2.4 How Steiner Stumbled 59
  19. 2.5 A “Hard” Problem with an Easy Solution 62
  20. 2.6 Fagnano’s Problem 65
  21. 3. Medieval Maximization and Some Modern Twists
  22. 3.1 The Regiomontanus Problem 71
  23. 3.2 The Saturn Problem 77
  24. 3.3 The Envelope-Folding Problem 79
  25. 3.4 The Pipe-and-Corner Problem 85
  26. 3.5 Regiomontanus Redux 89
  27. 3.6 The Muddy Wheel Problem 94
  28. 4. The Forgotten War of Descartes and Fermat
  29. 4.1 Two Very Different Men 99
  30. 4.2 Snell’s Law 101
  31. 4.3 Fermat, Tangent Lines, and Extrema 109
  32. 4.4 The Birth of the Derivative 114
  33. 4.5 Derivatives and Tangents 120
  34. 4.6 Snell’s Law and the Principle of Least Time 127
  35. 4.7 A Popular Textbook Problem 134
  36. 4.8 Snell’s Law and the Rainbow 137
  37. 5. Calculus Steps Forward, Center Stage
  38. 5.1 The Derivative: Controversy and Triumph 140
  39. 5.2 Paintings Again, and Kepler’s Wine Barrel 147
  40. 5.3 The Mailable Package Paradox 149
  41. 5.4 Projectile Motion in a Gravitational Field 152
  42. 5.5 The Perfect Basketball Shot 158
  43. 5.6 Halley’s Gunnery Problem 165
  44. 5.7 De L’Hospital and His Pulley Problem, and a New Minimum Principle 171
  45. 5.8 Derivatives and the Rainbow 179
  46. 6. Beyond Calculus
  47. 6.1 Galileo’s Problem 200
  48. 6.2 The Brachistochrone Problem 210
  49. 6.3 Comparing Galileo and Bernoulli 221
  50. 6.4 The Euler-Lagrange Equation 231
  51. 6.5 The Straight Line and the Brachistochrone 238
  52. 6.6 Galileo’s Hanging Chain 240
  53. 6.7 The Catenary Again 247
  54. 6.8 The Isoperimetric Problem, Solved (at last!) 251
  55. 6.9 Minimal Area Surfaces, Plateau’s Problem, and Soap Bubbles 259
  56. 6.10 The Human Side of Minimal Area Surfaces 271
  57. 7. The Modern Age Begins
  58. 7.1 The Fermat/Steiner Problem 279
  59. 7.2 Digging the Optimal Trench, Paving the Shortest Mail Route, and Least-Cost Paths through Directed Graphs 286
  60. 7.3 The Traveling Salesman Problem 293
  61. 7.4 Minimizing with Inequalities (Linear Programming) 295
  62. 7.5 Minimizing by Working Backwards (Dynamic Programming) 312
  63. Appendix A. The AM-GM Inequality 331
  64. Appendix B. The AM-QM Inequality, and Jensen’s Inequality 334
  65. Appendix C. “The Sagacity of the Bees” (the preface to Book 5 of Pappus’ Mathematical Collection) 342
  66. Appendix D. Every Convex Figure Has a Perimeter Bisector 345
  67. Appendix E. The Gravitational Free-Fall Descent Time along a Circle 347
  68. Appendix F. The Area Enclosed by a Closed Curve 352
  69. Appendix G. Beltrami’s Identity 359
  70. Appendix H. The Last Word on the Lost Fisherman Problem 361
  71. Appendix I. Solution to the New Challenge Problem 364
  72. Acknowledgments 367
  73. Index 369
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