
Differential Equations with Linear Algebra
by Boelkins, Matthew R.; Goldberg, Jack L.; Potter, Merle C.Buy New
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Summary
Because of its emphasis on linearity, the text opens with a full chapter devoted to essential ideas in linear algebra. Motivated by future problems in systems of differential equations, the chapter on linear algebra introduces such key ideas as systems of algebraic equations, linear combinations, the eigenvalue problem, and bases and dimension of vector spaces. This chapter enables students to quickly learn enough linear algebra to appreciate the structure of solutions to linear differential equations and systems thereof in subsequent study and to apply these ideas regularly.
The book offers an example-driven approach, beginning each chapter with one or two motivating problems that are applied in nature. The following chapter develops the mathematics necessary to solve these problems and explores related topics further. Even in more theoretical developments, we use an example-first style to build intuition and understanding before stating or proving general results. Over 100 figures provide visual demonstration of key ideas; the use of the computer algebra system Maple and Microsoft Excel are presented in detail throughout to provide further perspective and support students' use of technology in solving problems. Each chapter closes with several substantial projects for further study, many of which are based in applications.
Errata sheet available at: www.oup.com/us/companion.websites/9780195385861/pdf/errata.pdf
Author Biography
Matt Boelkins is Associate Professor of Mathematics at Grand Valley State University.
Merle C. Potter is Professor Emeritus of Engineering at Michigan State University and was the first recipient of the Teacher-Scholar award. He has authored or coauthored twenty-four textbooks and exam review books.
Jack Goldberg is Professor Emeritus of Mathematics at the University of Michigan. He has published several textbooks and numerous research papers.
Table of Contents
Introduction | p. xi |
Essentials of linear algebra | p. 3 |
Motivating problems | p. 3 |
Systems of linear equations | p. 8 |
Row reduction using Maple | p. 15 |
Linear combinations | p. 21 |
Markov chains: an application of matrix-vector multiplication | p. 26 |
Matrix products using Maple | p. 29 |
The span of a set of vectors | p. 33 |
Systems of linear equations revisited | p. 39 |
Linear independence | p. 49 |
Matrix algebra | p. 58 |
Matrix algebra using Maple | p. 62 |
The inverse of a matrix | p. 66 |
Computer graphics | p. 70 |
Matrix inverses using Maple | p. 73 |
The determinant of a matrix | p. 78 |
Determinants using Maple | p. 82 |
The eigenvalue problem | p. 84 |
Markov chains, eigenvectors, and Google | p. 93 |
Using Maple to find eigenvalues and eigenvectors | p. 94 |
Generalized vectors | p. 99 |
Bases and dimension in vector spaces | p. 108 |
For further study | p. 115 |
Computer graphics: geometry and linear algebra at work | p. 115 |
Bézier curves | p. 119 |
Discrete dynamical systems | p. 123 |
First-order differential equations | p. 127 |
Motivating problems | p. 127 |
Definitions, notation, and terminology | p. 129 |
Plotting slope fields using Maple | p. 135 |
Linear first-order differential equations | p. 139 |
Applications of linear first-order differential equations | p. 147 |
Mixing problems | p. 147 |
Exponential growth and decay | p. 148 |
Newton's law of Cooling | p. 150 |
Nonlinear first-order differential equations | p. 154 |
Separable equations | p. 154 |
Exact equations | p. 157 |
Euler's method | p. 162 |
Implementing Euler's method in Excel | p. 167 |
Applications of nonlinear first-order differential equations | p. 172 |
The logistic equation | p. 172 |
Torricelli's law | p. 176 |
For further study | p. 181 |
Converting certain second-order des to first-order DEs | p. 181 |
How raindrops fall | p. 182 |
Riccati's equation | p. 183 |
Bernoulli's equation | p. 184 |
Linear systems of differential equations | p. 187 |
Motivating problems | p. 187 |
The eigenvalue problem revisited | p. 191 |
Homogeneous linear first-order systems | p. 202 |
Systems with all real linearly independent eigenvectors | p. 211 |
Plotting direction fields for systems using Maple | p. 219 |
When a matrix lacks two real linearly independent eigenvectors | p. 223 |
Nonhomogeneous systems: undetermined coefficients | p. 236 |
Nonhomogeneous systems: variation of parameters | p. 245 |
Applying variation of parameters using Maple | p. 250 |
Applications of linear systems | p. 253 |
Mixing problems | p. 253 |
Spring-mass systems | p. 255 |
RLC circuits | p. 258 |
For further study | p. 268 |
Diagonalizable matrices and coupled systems | p. 268 |
Matrix exponential | p. 270 |
Higher order differential equations | p. 273 |
Motivating equations | p. 273 |
Homogeneous equations: distinct real roots | p. 274 |
Homogeneous equations: repeated and complex roots | p. 281 |
Repeated roots | p. 281 |
Complex roots | p. 283 |
Nonhomogeneous equations | p. 288 |
Undetermined coefficients | p. 289 |
Variation of parameters | p. 295 |
Forced motion: beats and resonance | p. 300 |
Higher order linear differential equations | p. 309 |
Solving characteristic equations using Maple | p. 316 |
For further study | p. 319 |
Damped motion | p. 319 |
Forced oscillations with damping | p. 321 |
The Cauchy-Euler equation | p. 323 |
Companion systems and companion matrices | p. 325 |
Laplace transforms | p. 329 |
Motivating problems | p. 329 |
Laplace transforms: getting started | p. 331 |
General properties of the Laplace transform | p. 337 |
Piecewise continuous functions | p. 347 |
The Heaviside functions | p. 347 |
The Dirac delta function | p. 353 |
The Heaviside and Dirac functions in Maple | p. 357 |
Solving IVPs with the Laplace transform | p. 359 |
More on the inverse Laplace transform | p. 371 |
Laplace transforms and inverse transforms using Maple | p. 375 |
For further study | p. 378 |
Laplace transforms of infinite series | p. 378 |
Laplace transforms of periodic forcing functions | p. 380 |
Laplace transforms of systems | p. 384 |
Nonlinear systems of differential equations | p. 387 |
Motivating problems | p. 387 |
Graphical behavior of solutions for 2 × 2 nonlinear systems | p. 391 |
Plotting direction fields of nonlinear systems using Maple | p. 397 |
Linear approximations of nonlinear systems | p. 400 |
Euler's method for nonlinear systems | p. 409 |
Implementing Euler's method for systems in Excel | p. 413 |
For further study | p. 417 |
The damped pendulum | p. 417 |
Competitive species | p. 418 |
Numerical methods for differential equations | p. 421 |
Motivating problems | p. 421 |
Beyond Euler's method | p. 423 |
Heun's method | p. 424 |
Modified Euler's method | p. 427 |
Higher order methods | p. 430 |
Taylor methods | p. 431 |
Runge-Kutta methods | p. 434 |
Methods for systems and higher order equations | p. 439 |
Euler's methods for systems | p. 440 |
Heun's method for systems | p. 442 |
Runge-Kutta method for systems | p. 443 |
Methods for higher order IVPs | p. 445 |
For further study | p. 449 |
Predator-Prey equations | p. 449 |
Competitive species | p. 450 |
The damped pendulum | p. 450 |
Series solutions for differential equations | p. 453 |
Motivating problems | p. 453 |
A review of Taylor and power series | p. 455 |
Power series solutions of linear equations | p. 463 |
Legendre's equation | p. 471 |
Three important examples | p. 477 |
The Hermite equation | p. 477 |
The Laguerre equation | p. 480 |
The Bessel equation | p. 482 |
The method of Frobenius | p. 485 |
For further study | p. 491 |
Taylor series for first-order differential equations | p. 491 |
The Gamma function | p. 491 |
Review of integration techniques | p. 493 |
Complex numbers | p. 503 |
Roots of polynomials | p. 509 |
Linear transformations | p. 513 |
Solutions to selected exercises | p. 523 |
Index | p. 549 |
Table of Contents provided by Ingram. All Rights Reserved. |
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