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E-raamat: Differential Equations: For Scientists and Engineers

  • Formaat: PDF+DRM
  • Ilmumisaeg: 31-Jul-2019
  • Kirjastus: Springer Nature Switzerland AG
  • Keel: eng
  • ISBN-13: 9783030205065
  • Formaat - PDF+DRM
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  • Formaat: PDF+DRM
  • Ilmumisaeg: 31-Jul-2019
  • Kirjastus: Springer Nature Switzerland AG
  • Keel: eng
  • ISBN-13: 9783030205065

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This book is designed to serve as a textbook for a course on ordinary differential equations, which is usually a required course in most science and engineering disciplines and follows calculus courses.  The book begins with linear algebra, including a number of physical applications, and goes on to discuss first-order differential equations, linear systems of differential equations, higher order differential equations, Laplace transforms, nonlinear systems of differential equations, and numerical methods used in solving differential equations. The style of presentation of the book ensures that the student with a minimum of assistance may apply the theorems and proofs presented. Liberal use of examples and homework problems aids the student in the study of the topics presented and applying them to numerous applications in the real scientific world. This textbook focuses on the actual solution of ordinary differential equations preparing the student to solve ordinary differential equations when exposed to such equations in subsequent courses in engineering or pure science programs. The book can be used as a text in a one-semester core course on differential equations, alternatively it can also be used as a partial or supplementary text in intensive courses that cover multiple topics including differential equations. 

Arvustused

The textbook Differential Equations: For Scientists and Engineers by Allan Struthers and Merle Potter is an excellent starting point for undergraduates with a background in multivariable calculus who want to take the next step in their mathematical education. I am very happy to have been introduced to this excellent textbook. I plan to use it as an additional resource in the upcoming semester. (Pratima Hebbar, Physics Today, July, 2020)

Preface v
1 Essentials of Linear Algebra 1(104)
1.1 Motivating Problems
1(5)
1.2 Systems of Linear Equations
6(14)
1.3 Linear Combinations
20(13)
1.3.1 Markov Chains: An Application of Matrix-Vector Multiplication
26(7)
1.4 The Span of a Set of Vectors
33(8)
1.5 Systems of Linear Equations Revisited
41(12)
1.6 Linear Independence
53(11)
1.7 Matrix Algebra
64(8)
1.8 The Inverse of a Matrix
72(10)
1.9 The Determinant of a Matrix
82(7)
1.10 The Eigenvalue Problem
89(16)
1.10.1 Markov Chains, Eigenvectors, and Google
99(6)
2 First-Order Differential Equations 105(50)
2.1 Motivating Problems
105(3)
2.2 Definitions, Notation, and Terminology
108(6)
2.3 Linear First-Order Differential Equations
114(7)
2.4 Applications of Linear First-Order Differential Equations
121(8)
2.4.1 Mixing Problems
122(2)
2.4.2 Exponential Growth and Decay
124(1)
2.4.3 Newton's Law of Cooling
125(4)
2.5 Nonlinear First-Order Differential Equations
129(10)
2.5.1 Separable Equations
130(3)
2.5.2 Exact Equations
133(6)
2.6 Applications of Nonlinear First-Order Differential Equations
139(9)
2.6.1 The Logistic Equation
139(4)
2.6.2 Torricelli's Law
143(5)
2.7 For Further Study
148(7)
2.7.1 Converting Certain Second-Order DEs to First-Order DEs
148(1)
2.7.2 How Raindrops Fall
149(2)
2.7.3 Riccati's Equation
151(1)
2.7.4 Bernoulli's Equation
152(3)
3 Linear Systems of Differential Equations 155(88)
3.1 Motivating Problems
155(5)
3.2 The Eigenvalue Problem Revisited
160(12)
3.3 Homogeneous Linear First-Order Systems
172(11)
3.4 Systems with All Real Linearly Independent Eigenvectors
183(7)
3.5 When a Matrix Lacks Two Real Linearly Independent Eigenvectors
190(11)
3.6 Nonhomogeneous Systems: Undetermined Coefficients
201(10)
3.7 Nonhomogeneous Systems: Variation of Parameters
211(7)
3.8 Applications of Linear Systems
218(18)
3.8.1 Mixing Problems
218(3)
3.8.2 Spring-Mass Systems
221(3)
3.8.3 RLC Circuits
224(12)
3.9 For Further Study
236(7)
3.9.1 Diagonalizable Matrices and Coupled Systems
236(3)
3.9.2 Matrix Exponential
239(4)
4 Higher-Order Differential Equations 243(66)
4.1 Motivating Equations
243(1)
4.2 Homogeneous Equations: Distinct Real Roots
244(9)
4.3 Homogeneous Equations: Repeated and Complex Roots
253(8)
4.3.1 Repeated Roots
253(2)
4.3.2 Complex Roots
255(6)
4.4 Nonhomogeneous Equations
261(16)
4.4.1 Undetermined Coefficients
262(8)
4.4.2 Variation of Parameters
270(7)
4.5 Forced Motion: Beats and Resonance
277(11)
4.6 Higher-Order Linear Differential Equations
288(10)
4.7 For Further Study
298(11)
4.7.1 Damped Motion
298(3)
4.7.2 Forced Oscillations with Damping
301(2)
4.7.3 The Cauchy-Euler Equation
303(2)
4.7.4 Companion Systems and Companion Matrices
305(4)
5 Laplace Transforms 309(64)
5.1 Motivating Problems
309(3)
5.2 Laplace Transforms: Getting Started
312(7)
5.3 General Properties of the Laplace Transform
319(11)
5.4 Piecewise Continuous Functions
330(13)
5.4.1 The Heaviside Function
330(7)
5.4.2 The Dirac Delta Function
337(6)
5.5 Solving IVPs with the Laplace Transform
343(15)
5.6 More on the Inverse Laplace Transform
358(5)
5.7 For Further Study
363(10)
5.7.1 Laplace Transforms of Infinite Series
363(2)
5.7.2 Laplace Transforms of Periodic Forcing Functions
365(5)
5.7.3 Laplace Transforms of Systems
370(3)
6 Numerical Methods for Differential Equations 373(36)
6.1 Motivating Problems
373(2)
6.2 Euler's Method and Beyond
375(8)
6.2.1 Heun's Method
377(3)
6.2.2 Modified Euler's Method
380(3)
6.3 Higher-Order Methods
383(11)
6.3.1 Taylor Methods
384(4)
6.3.2 Runge-Kutta Methods
388(6)
6.4 Methods for Systems and Higher-Order Equations
394(11)
6.4.1 Euler's Method for Systems
394(3)
6.4.2 Heun's Method for Systems
397(2)
6.4.3 Runge-Kutta Method for Systems
399(1)
6.4.4 Methods for Higher-Order IVPs
400(5)
6.5 For Further Study
405(4)
6.5.1 Predator-Prey Equations
405(1)
6.5.2 Competitive Species
406(1)
6.5.3 The Damped Pendulum
406(3)
7 Series Solutions for Differential Equations 409(48)
7.1 Motivating Problems
409(2)
7.2 A Review of Taylor and Power Series
411(9)
7.3 Power Series Solutions of Linear Equations
420(11)
7.4 Legendre's Equation
431(7)
7.5 Three Important Examples
438(9)
7.5.1 The Hermite Equation
438(2)
7.5.2 The Laguerre Equation
440(3)
7.5.3 The Bessel Equation
443(4)
7.6 The Method of Frobenius
447(6)
7.7 For Further Study
453(4)
7.7.1 Taylor Series for First-Order Differential Equations
453(1)
7.7.2 The Gamma Function
454(3)
A Review of Integration Techniques 457(10)
A.1 u-Substitution
457(1)
A.2 Integration by Parts
458(2)
A.3 Partial Fractions
460(4)
A.4 Tables and Computer Algebra Systems
464(3)
B Complex Numbers 467(6)
C Roots of Polynomials 473(6)
D Linear Transformations 479(12)
D.1 Matrix Transformations
480(3)
D.2 Linear Differential Equations
483(1)
D.3 Invertible Transformations
484(7)
E Solutions to Selected Exercises 491(18)
Index 509
Allan Alexander Struthers received his PhD from Carnegie Mellon and is a Professor of Mathematics in the Department of Mathematical Sciences at Michigan Technological University. In his 28 years at MTU, Prof Struthers has both taught and helped develop courses and curricula for graduate and undergraduate students in mathematics and engineering departments, and has received several awards for his research and teaching excellence. Merle C. Potter received his Ph.D. from The University of Michigan and is Professor Emeritus of Mechanical Engineering at Michigan State University. He has co-authored textbooks based on teaching Thermodynamics, Fluid Mechanics, Applied Mathematics, and related subjects. Prof  Potters research included the stability of various fluid flows, separated flow around bodies, and energy conservation studies. He has authored and coauthored 34 textbooks and exam review books.