Differential Equations with Linear Algebra

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Format: Hardcover
Pub. Date: 2009-11-05
Publisher(s): INGRAM
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Summary

Linearity plays a critical role in the study of elementary differential equations; linear differential equations, especially systems thereof, demonstrate a fundamental application of linear algebra. In Differential Equations with Linear Algebra, we explore this interplay between linear algebra and differential equations and examine introductory and important ideas in each, usually through the lens of important problems that involve differential equations. Written at a sophomore level, the text is accessible to students who have completed multivariable calculus. With a systems-first approach, the book is appropriate for courses for majors in mathematics, science, and engineering that study systems of differential equations.

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

Introductionp. xi
Essentials of linear algebrap. 3
Motivating problemsp. 3
Systems of linear equationsp. 8
Row reduction using Maplep. 15
Linear combinationsp. 21
Markov chains: an application of matrix-vector multiplicationp. 26
Matrix products using Maplep. 29
The span of a set of vectorsp. 33
Systems of linear equations revisitedp. 39
Linear independencep. 49
Matrix algebrap. 58
Matrix algebra using Maplep. 62
The inverse of a matrixp. 66
Computer graphicsp. 70
Matrix inverses using Maplep. 73
The determinant of a matrixp. 78
Determinants using Maplep. 82
The eigenvalue problemp. 84
Markov chains, eigenvectors, and Googlep. 93
Using Maple to find eigenvalues and eigenvectorsp. 94
Generalized vectorsp. 99
Bases and dimension in vector spacesp. 108
For further studyp. 115
Computer graphics: geometry and linear algebra at workp. 115
Bézier curvesp. 119
Discrete dynamical systemsp. 123
First-order differential equationsp. 127
Motivating problemsp. 127
Definitions, notation, and terminologyp. 129
Plotting slope fields using Maplep. 135
Linear first-order differential equationsp. 139
Applications of linear first-order differential equationsp. 147
Mixing problemsp. 147
Exponential growth and decayp. 148
Newton's law of Coolingp. 150
Nonlinear first-order differential equationsp. 154
Separable equationsp. 154
Exact equationsp. 157
Euler's methodp. 162
Implementing Euler's method in Excelp. 167
Applications of nonlinear first-order differential equationsp. 172
The logistic equationp. 172
Torricelli's lawp. 176
For further studyp. 181
Converting certain second-order des to first-order DEsp. 181
How raindrops fallp. 182
Riccati's equationp. 183
Bernoulli's equationp. 184
Linear systems of differential equationsp. 187
Motivating problemsp. 187
The eigenvalue problem revisitedp. 191
Homogeneous linear first-order systemsp. 202
Systems with all real linearly independent eigenvectorsp. 211
Plotting direction fields for systems using Maplep. 219
When a matrix lacks two real linearly independent eigenvectorsp. 223
Nonhomogeneous systems: undetermined coefficientsp. 236
Nonhomogeneous systems: variation of parametersp. 245
Applying variation of parameters using Maplep. 250
Applications of linear systemsp. 253
Mixing problemsp. 253
Spring-mass systemsp. 255
RLC circuitsp. 258
For further studyp. 268
Diagonalizable matrices and coupled systemsp. 268
Matrix exponentialp. 270
Higher order differential equationsp. 273
Motivating equationsp. 273
Homogeneous equations: distinct real rootsp. 274
Homogeneous equations: repeated and complex rootsp. 281
Repeated rootsp. 281
Complex rootsp. 283
Nonhomogeneous equationsp. 288
Undetermined coefficientsp. 289
Variation of parametersp. 295
Forced motion: beats and resonancep. 300
Higher order linear differential equationsp. 309
Solving characteristic equations using Maplep. 316
For further studyp. 319
Damped motionp. 319
Forced oscillations with dampingp. 321
The Cauchy-Euler equationp. 323
Companion systems and companion matricesp. 325
Laplace transformsp. 329
Motivating problemsp. 329
Laplace transforms: getting startedp. 331
General properties of the Laplace transformp. 337
Piecewise continuous functionsp. 347
The Heaviside functionsp. 347
The Dirac delta functionp. 353
The Heaviside and Dirac functions in Maplep. 357
Solving IVPs with the Laplace transformp. 359
More on the inverse Laplace transformp. 371
Laplace transforms and inverse transforms using Maplep. 375
For further studyp. 378
Laplace transforms of infinite seriesp. 378
Laplace transforms of periodic forcing functionsp. 380
Laplace transforms of systemsp. 384
Nonlinear systems of differential equationsp. 387
Motivating problemsp. 387
Graphical behavior of solutions for 2 × 2 nonlinear systemsp. 391
Plotting direction fields of nonlinear systems using Maplep. 397
Linear approximations of nonlinear systemsp. 400
Euler's method for nonlinear systemsp. 409
Implementing Euler's method for systems in Excelp. 413
For further studyp. 417
The damped pendulump. 417
Competitive speciesp. 418
Numerical methods for differential equationsp. 421
Motivating problemsp. 421
Beyond Euler's methodp. 423
Heun's methodp. 424
Modified Euler's methodp. 427
Higher order methodsp. 430
Taylor methodsp. 431
Runge-Kutta methodsp. 434
Methods for systems and higher order equationsp. 439
Euler's methods for systemsp. 440
Heun's method for systemsp. 442
Runge-Kutta method for systemsp. 443
Methods for higher order IVPsp. 445
For further studyp. 449
Predator-Prey equationsp. 449
Competitive speciesp. 450
The damped pendulump. 450
Series solutions for differential equationsp. 453
Motivating problemsp. 453
A review of Taylor and power seriesp. 455
Power series solutions of linear equationsp. 463
Legendre's equationp. 471
Three important examplesp. 477
The Hermite equationp. 477
The Laguerre equationp. 480
The Bessel equationp. 482
The method of Frobeniusp. 485
For further studyp. 491
Taylor series for first-order differential equationsp. 491
The Gamma functionp. 491
Review of integration techniquesp. 493
Complex numbersp. 503
Roots of polynomialsp. 509
Linear transformationsp. 513
Solutions to selected exercisesp. 523
Indexp. 549
Table of Contents provided by Ingram. All Rights Reserved.

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