Preface |
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ix | |
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1 | (24) |
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1.1 What is a differential equation? |
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1 | (1) |
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2 | (14) |
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1.3 More on direction fields: Isoclines |
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16 | (9) |
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Chapter 2 First-Order Equations |
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25 | (114) |
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25 | (10) |
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35 | (10) |
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2.3 Applications: Time of death, time at depth, and ancient timekeeping |
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45 | (20) |
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2.4 Existence and uniqueness theorems |
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65 | (18) |
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2.5 Population and financial models |
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83 | (15) |
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2.6 Qualitative solutions of autonomous equations |
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98 | (14) |
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112 | (9) |
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121 | (18) |
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Chapter 3 Numerical Methods |
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139 | (32) |
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139 | (12) |
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3.2 Improving Euler's method: The Heun and Runge-Kutta Algorithms |
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151 | (11) |
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3.3 Optical illusions and other applications |
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162 | (9) |
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Chapter 4 Higher-Order Linear Homogeneous Equations |
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171 | (94) |
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4.1 Introduction to second-order equations |
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171 | (21) |
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192 | (17) |
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209 | (7) |
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4.4 Constant coefficient second-order equations |
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216 | (12) |
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4.5 Repeated roots and reduction of order |
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228 | (12) |
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4.6 Higher-order equations |
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240 | (5) |
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4.7 Higher-order constant coefficient equations |
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245 | (9) |
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4.8 Modeling with second-order equations |
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254 | (11) |
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Chapter 5 Higher-Order Linear Nonhomogeneous Equations |
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265 | (54) |
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5.1 Introduction to nonhomogeneous equations |
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265 | (10) |
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5.2 Annihilating operators |
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275 | (13) |
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5.3 Applications of nonhomogeneous equations |
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288 | (15) |
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303 | (16) |
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Chapter 6 Laplace Transforms |
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319 | (62) |
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319 | (11) |
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6.2 The inverse Laplace transform |
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330 | (5) |
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6.3 Solving initial value problems with Laplace transforms |
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335 | (15) |
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350 | (7) |
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6.5 Laplace transforms, simple systems, and Iwo Jima |
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357 | (6) |
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363 | (5) |
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368 | (13) |
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Chapter 7 Power Series Solutions |
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381 | (62) |
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7.1 Motivation for the study of power series solutions |
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381 | (2) |
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7.2 Review of power series |
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383 | (9) |
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392 | (16) |
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7.4 Nonpolynomial coefficients |
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408 | (5) |
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7.5 Regular singular points |
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413 | (17) |
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430 | (13) |
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Chapter 8 Linear Systems I |
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443 | (120) |
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8.1 Nelson at Trafalgar and phase portraits |
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443 | (14) |
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8.2 Vectors, vector fields, and matrices |
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457 | (15) |
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8.3 Eigenvalues and eigenvectors |
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472 | (10) |
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8.4 Solving linear systems |
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482 | (13) |
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8.5 Phase portraits via ray solutions |
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495 | (12) |
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8.6 More on phase portraits: Saddle points and nodes |
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507 | (17) |
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8.7 Complex and repeated eigenvalues |
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524 | (12) |
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8.8 Applications: Compartment models |
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536 | (13) |
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8.9 Classifying equilibrium points |
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549 | (14) |
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Chapter 9 Linear Systems II |
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563 | (52) |
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9.1 The matrix exponential, Part I |
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563 | (17) |
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9.2 A return to the Existence and Uniqueness Theorem |
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580 | (4) |
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9.3 The matrix exponential, Part II |
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584 | (11) |
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9.4 Nonhomogeneous constant coefficient systems |
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595 | (13) |
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9.5 Periodic forcing and the steady-state solution |
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608 | (7) |
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Chapter 10 Nonlinear Systems |
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615 | (102) |
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10.1 Introduction: Darwin's finches |
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615 | (12) |
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10.2 Linear approximation: The major cases |
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627 | (20) |
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10.3 Linear approximation: The borderline cases |
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647 | (6) |
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10.4 More on interacting populations |
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653 | (15) |
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10.5 Modeling the spread of disease |
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668 | (15) |
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10.6 Hamiltonians, gradient systems, and Lyapunov functions |
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683 | (16) |
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699 | (9) |
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10.8 Cycles and limit cycles |
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708 | (9) |
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Chapter 11 Partial Differential Equations and Fourier Series |
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717 | (116) |
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11.1 Introduction: Three interesting partial differential equations |
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717 | (2) |
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11.2 Boundary value problems |
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719 | (8) |
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11.3 Partial differential equations: A first look |
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727 | (7) |
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11.4 Advection and diffusion |
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734 | (11) |
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11.5 Functions as vectors |
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745 | (15) |
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760 | (17) |
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777 | (15) |
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11.8 The wave equation: Separation of variables |
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792 | (12) |
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11.9 The wave equation: D'Alembert's method |
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804 | (8) |
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812 | (21) |
Notes and Further Reading |
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833 | (4) |
Selected Answers to Exercises |
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837 | (26) |
Bibliography |
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863 | (4) |
Index |
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867 | |