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A First Course in Differential Equations for Scientists and Engineers

Nguồn ngoài

A First Course in Differential Equations for Scientists and Engineers

This book is written for an undergraduate course on the introduction to differential equations typically taken by majors in mathematics, the physical sciences, and engineering. In this course we will investigate analytical, graphical, and approximate solutions of differential equations. We will study the theory, methods of solution and applications of ordinary differential equations. This will include common methods of finding solutions, such as using Laplace transform and power series methods.

Tác giả
Russell Herman
Nhà xuất bản
University of North Carolina Wilmington
Nguồn
LibreTexts
Giấy phép
CC BY-NC-SA
Ngôn ngữ
EN
Danh mục
Khoa học cơ bản
Mục lục· 86 mục
  1. 01: First Order ODEs
  2. 1.01: Free Fall
  3. 1.02: First Order Differential Equations
  4. 1.03: Applications
  5. 1.04: Other First Order Equations
  6. 1.05: Problems
  7. 02: Second Order ODEs
  8. 2.01: Introduction
  9. 2.02: Constant Coefficient Equations
  10. 2.03: Simple Harmonic Oscillators
  11. 2.04: Forced Systems
  12. 2.05: Cauchy-Euler Equations
  13. 2.06: Problems
  14. 03: Numerical Solutions
  15. 3.01: Eulers Method
  16. 3.02: Implementation of Numerical Packages
  17. 3.03: Higher Order Taylor Methods
  18. 3.04: Runge-Kutta Methods
  19. 3.05: Numerical Applications
  20. 3.5.01: The Nonlinear Pendulum
  21. 3.5.02: Extreme Sky Diving
  22. 3.5.03: The Flight of Sports Balls
  23. 3.5.04: Falling Raindrops
  24. 3.5.05: The Two-body Problem
  25. 3.5.06: The Expanding Universe
  26. 3.5.07: The Coefficient of Drag
  27. 3.06: Problems
  28. 04: Series Solutions
  29. 4.01: Introduction to Power Series
  30. 4.02: Power Series Method
  31. 4.03: Singular Points
  32. 4.04: The Frobenius Method
  33. 4.4.01: Introduction
  34. 4.4.02: Roots of Indicial Equation
  35. 4.05: Legendre Polynomials
  36. 4.06: Bessel Functions
  37. 4.07: Gamma Function
  38. 4.08: Hypergeometric Functions
  39. 4.09: Problems
  40. 05: Laplace Transforms
  41. 5.01: The Laplace Transform
  42. 5.02: Properties and Examples of Laplace Transforms
  43. 5.03: Solution of ODEs Using Laplace Transforms
  44. 5.04: Step and Impulse Functions
  45. 5.05: The Convolution Theorem
  46. 5.06: Systems of ODEs
  47. 5.07: Problems
  48. 06: Linear Systems
  49. 6.01: Linear Systems
  50. 6.02: Applications
  51. 6.2.01: Mass-Spring Systems
  52. 6.2.02: Circuits
  53. 6.2.03: Mixture Problems
  54. 6.2.04: Chemical Kinetics
  55. 6.2.05: Predator Prey Models
  56. 6.2.06: Love Affairs
  57. 6.2.07: Epidemics
  58. 6.03: Matrix Formulation
  59. 6.04: Eigenvalue Problems
  60. 6.05: Solving Constant Coefficient Systems in 2D
  61. 6.06: Examples of the Matrix Method
  62. 6.07: Theory of Homogeneous Constant Coefficient Systems
  63. 6.08: Nonhomogeneous Systems
  64. 6.09: Problems
  65. 07: Nonlinear Systems
  66. 7.01: Introduction
  67. 7.02: The Logistic Equation
  68. 7.03: Autonomous First Order Equations
  69. 7.04: Bifurcations for First Order Equations
  70. 7.05: The Stability of Fixed Points in Nonlinear Systems
  71. 7.06: Nonlinear Population Models
  72. 7.07: Limit Cycles
  73. 7.08: Nonautonomous Nonlinear Systems
  74. 7.09: The Period of the Nonlinear Pendulum
  75. 7.10: Exact Solutions Using Elliptic Functions
  76. 7.11: Problems
  77. 08: Appendix Calculus Review
  78. 8.01: Introduction
  79. 8.02: Trigonometric Functions
  80. 8.03: Hyperbolic Functions
  81. 8.04: Derivatives
  82. 8.05: Integrals
  83. 8.06: Geometric Series
  84. 8.07: Power Series
  85. 8.08: The Binomial Expansion
  86. 8.09: Problems