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E-raamat: Course in Ordinary Differential Equations

(California State Polytechnic University, Pomona, USA), (Arizona State University, Glendale, USA)
  • Formaat: 807 pages
  • Ilmumisaeg: 15-Dec-2014
  • Kirjastus: CRC Press Inc
  • Keel: eng
  • ISBN-13: 9781466509108
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  • Formaat: 807 pages
  • Ilmumisaeg: 15-Dec-2014
  • Kirjastus: CRC Press Inc
  • Keel: eng
  • ISBN-13: 9781466509108

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This textbook explains how to apply analytical and numerical methods to problems in engineering, physics, and mathematics. It can be used for a traditional one-semester or two-quarter sophomore course in ordinary differential equations. It can also be used for a one-quarter course that combines differential equations and linear algebra. With computer labs given in MATLAB, Maple, and Mathematica at the end of each chapter, the text can also be used for a course that introduces these software programs. Learning features include theorem boxes and worked examples in a two-color format, along with appendices of math tutorials and exercise answers. For this second edition, material is reorganized to cover linear systems before nonlinear systems. There are new sections on complex variables, the exponential response formula for nonhomogeneous equations, and forced vibrations. There is also a new appendix on linear algebra, plus new appendixes giving crash courses on MATLAB, Maple, and Mathematica. Annotation ©2015 Ringgold, Inc., Portland, OR (protoview.com)

A Course in Ordinary Differential Equations, Second Edition teaches students how to use analytical and numerical solution methods in typical engineering, physics, and mathematics applications. Lauded for its extensive computer code and student-friendly approach, the first edition of this popular textbook was the first on ordinary differential equations (ODEs) to include instructions on using MATLAB®,Mathematica®, and Maple™. This second edition reflects the feedback of students and professors who used the first edition in the classroom.

New to the Second Edition

  • Moves the computer codes to Computer Labs at the end of each chapter, which gives professors flexibility in using the technology
  • Covers linear systems in their entirety before addressing applications to nonlinear systems
  • Incorporates the latest versions of MATLAB, Maple, and Mathematica
  • Includes new sections on complex variables, the exponential response formula for solving nonhomogeneous equations, forced vibrations, and nondimensionalization
  • Highlights new applications and modeling in many fields
  • Presents exercise sets that progress in difficulty
  • Contains color graphs to help students better understand crucial concepts in ODEs
  • Provides updated and expanded projects in each chapter

Suitable for a first undergraduate course, the book includes all the basics necessary to prepare students for their future studies in mathematics, engineering, and the sciences. It presents the syntax from MATLAB, Maple, andMathematica to give students a better grasp of the theory and gain more insight into real-world problems. Along with covering traditional topics, the text describes a number of modern topics, such as direction fields, phase lines, the Runge-Kutta method, and epidemiological and ecological models. It also explains concepts from linear algebra so that students acquire a thorough understanding of differential equations.

Arvustused

Praise for the First Edition:"A Course in Ordinary Differential Equations deserves to be on the MAAs Basic Library List the book with its layout, is very student friendlyit is easy to read and understand; every chapter and explanations flow smoothly and coherently the reviewer would recommend this book highly for undergraduate introductory differential equation courses." Srabasti Dutta, College of Saint Elizabeth, MAA Online, July 2008

"An important feature is that the exposition is richly accompanied by computer algebra code (equally distributed between MATLAB, Mathematica, and Maple). The major part of the book is devoted to classical theory (both for systems and higher order equations). The necessary material from linear algebra is also covered. More advanced topics include numerical methods, stability of equilibria, bifurcations, Laplace transforms, and the power series method." EMS Newsletter, June 2007

"This is a delightful textbook for a standard one-semester undergraduate course in ordinary differential equations designed for students who had one year of calculus and continue their studies in engineering and mathematics. The main idea is to focus on the applications and methods of solutions, both analytical and numerical, with special attention paid to applications to real-world problems in engineering, physics, population dynamics, epidemiology, etc. A winning feature of the book is the extensive use of computer algebra codes throughout the text. Assuming that the students have no previous experience with Maple, MATLAB, or Mathematica, the authors present the relevant syntax and theory for all three programs. This helps students to understand better the theoretical material, use computer support more sensibly, and interpret results of computer simulation properly. Some background material from linear algebra is also provided throughout the text whenever necessary. The book is nicely written, generously illustrated, and well structured. There are plenty of exercises ranging from drilling to challenging. Additional problems for revision and projects are collected at the end of each chapter. An excellent blend of analytical and technical tools for studying ordinary differential equations, this text is a welcome addition to existing literature and is warmly recommended as essential reading for a first undergraduate course in differential equations." Zentralblatt MATH 1931

About the Authors ix
Preface xi
1 Traditional First-Order Differential Equations 1(80)
1.1 Introduction to First-Order Equations
1(7)
1.2 Separable Differential Equations
8(8)
1.3 Linear Equations
16(13)
1.4 Some Physical Models Arising as Separable Equations
29(12)
1.5 Exact Equations
41(11)
1.6 Special Integrating Factors and Substitution Methods
52(12)
1.6.1 Bernoulli Equation
55(2)
1.6.2 Homogeneous Equations of the Form g(y/x)
57(7)
Review
64(3)
Computer Labs: MATLAB, Maple, Mathematica
67(12)
Projects
79(2)
Project 1A: Particles in the Atmosphere
79(1)
Project 1B: Insights into Graphing
80(1)
2 Geometrical and Numerical Methods for First-Order Equations 81(74)
2.1 Direction Fields-the Geometry of Differential Equations
81(5)
2.2 Existence and Uniqueness for First-Order Equations
86(6)
2.3 First-Order Autonomous Equations-Geometrical Insight
92(16)
2.3.1 Graphing Factored Polynomials
100(4)
2.3.2 Bifurcations of Equilibria
104(4)
2.4 Modeling in Population Biology
108(9)
2.4.1 Nondimensionalization
111(6)
2.5 Numerical Approximation: Euler and Runge-Kutta Methods
117(10)
2.6 An Introduction to Autonomous Second-Order Equations
127(5)
Review
132(4)
Computer Labs: MATLAB, Maple, Mathematica
136(15)
Projects
151(4)
Project 2A: Spruce Budworm
151(1)
Project 2B: Multistep Methods of Numerical Approximation
151(4)
3 Elements of Higher-Order Linear Equations 155(86)
3.1 Introduction to Higher-Order Equations
155(10)
3.1.1 Operator Notation
159(6)
3.2 Linear Independence and the Wronskian
165(8)
3.3 Reduction of Order-the Case n = 2
173(6)
3.4 Numerical Considerations for nth-Order Equations
179(4)
3.5 Essential Topics from Complex Variables
183(8)
3.6 Homogeneous Equations with Constant Coefficients
191(12)
3.7 Mechanical and Electrical Vibrations
203(16)
Review
219(3)
Computer Labs: MATLAB, Maple, Mathematica
222(16)
Projects
238(3)
Project 3A: Runge-Kutta Order 2
238(1)
Project 3B: Stiff Differential Equations
239(2)
4 Techniques of Nonhomogeneous Higher-Order Linear Equations 241(82)
4.1 Nonhomogeneous Equations
241(11)
4.2 Method of Undetermined Coefficients via Superposition
252(12)
4.3 Method of Undetermined Coefficients via Annihilation
264(11)
4.4 Exponential Response and Complex Replacement
275(11)
4.5 Variation of Parameters
286(11)
4.6 Cauchy-Euler (Equidimensional) Equation
297(4)
4.7 Forced Vibrations
301(7)
Review
308(1)
Computer Labs: MATLAB, Maple, Mathematica
309(11)
Projects
320(3)
Project 4A: Forced Duffing Equation
320(1)
Project 4B: Forced van der Pol Oscillator
321(2)
5 Fundamentals of Systems of Differential Equations 323(100)
5.1 Useful Terminology
324(8)
5.2 Gaussian Elimination
332(8)
5.3 Vector Spaces and Subspaces
340(11)
5.3.1 The Nullspace and Column Space
344(7)
5.4 Eigenvalues and Eigenvectors
351(11)
5.5 A General Method, Part I: Solving Systems with Real and Distinct or Complex Eigenvalues
362(7)
5.6 A General Method, Part II: Solving Systems with Repeated Real Eigenvalues
369(31)
5.7 Matrix Exponentials
383(10)
5.8 Solving Linear Nonhomogeneous Systems of Equations
393(7)
Review
400(4)
Computer Labs: MATLAB, Maple, Mathematica
404(15)
Projects
419(4)
Project 5A: Transition Matrix and Stochastic Processes
419(2)
Project 5B: Signal Processing
421(2)
Geometric Approaches and Applications of Systems of Differential Equations 423(80)
6.1 An Introduction to the Phase Plane
423(10)
6.2 Nonlinear Equations and Phase Plane Analysis
433(10)
6.2.1 Systems of More Than Two Equations
438(5)
6.3 Bifurcations
443(10)
6.4 Epidemiological Models
453(17)
6.5 Models in Ecology
470(10)
Review
480(2)
Computer Labs: MATLAB, Maple, Mathematica
482(16)
Projects
498(5)
Project 6A: An MSEIR Model
498(2)
Project 6B: Routh-Hurwitz Criteria
500(3)
7 Laplace Transforms 503(80)
7.1 Introduction
503(10)
7.2 Fundamentals of the Laplace Transform
513(13)
7.3 The Inverse Laplace Transform
526(11)
7.3.1 Laplace Transform Solution of Linear Differential Equations
530(7)
7.4 Translated Functions, Delta Function, and Periodic Functions
537(10)
7.5 The s-Domain and Poles
547(6)
7.6 Solving Linear Systems Using Laplace Transforms
553(5)
7.7 The Convolution
558(5)
Review
563(4)
Computer Labs: MATLAB, Maple, Mathematica
567(11)
Projects
578(5)
Project 7A: Carrier-Borne Epidemics
578(2)
Project 7B: Integral Equations
580(3)
8 Series Methods 583(76)
8.1 Power Series Representations of Functions
583(12)
8.2 The Power Series Method
595(9)
8.3 Ordinary and Singular Points
604(9)
8.4 The Method of Frobenius
613(20)
8.5 Bessel Functions
633(13)
Review
646(1)
Computer Labs: MATLAB, Maple, Mathematica
647(9)
Projects
656(3)
Project 8A: Asymptotic Series
656(1)
Project 8B: Hypergeometric Functions
657(2)
A An Introduction to MATLAB, Maple, and Mathematica 659(24)
A.1 MATLAB
659(10)
A.1.1 Some Helpful MATLAB Commands
661(5)
A.1.2 Programming with a script and a function in MAT-LAB
666(3)
A.2 Maple
669(6)
A.2.1 Some Helpful Maple Commands
671(2)
A.2.2 Programming in Maple
673(2)
A.3 Mathematica
675(8)
A.3.1 Some Helpful Mathematica Commands
677(2)
A.3.2 Programming in Mathematica
679(4)
B Selected Topics from Linear Algebra 683(54)
B.1 A Primer on Matrix Algebra
683(14)
B.2 Matrix Inverses, Cramer's Rule
697(9)
B.2.1 Calculating the Inverse of a Matrix
698(3)
B.2.2 Cramer's Rule
701(5)
B.3 Linear Transformations
706(11)
B.4 Coordinates and Change of Basis
717(6)
B.4.1 Similarity Transformations
720(3)
Computer Labs: MATLAB, Maple, Mathematica
723(14)
Answers to Odd Problems 737(42)
References 779(4)
Index 783
Stephen A. Wirkus is an associate professor of mathematics at Arizona State University, where he has been a recipient of the Professor of the Year Award and NSF AGEP Mentor of the Year Award. He has published over 30 papers and technical reports. He completed his Ph.D. at Cornell University under the direction of Richard Rand.

Randall J. Swift is a professor of mathematics and statistics at California State Polytechnic University, Pomona, where he has been a recipient of the Ralph W. Ames Distinguished Research Award. He has authored more than 80 journal articles, three research monographs, and three textbooks. He completed his Ph.D. at the University of California, Riverside under the direction of M.M. Rao.