Fundamentals of differential equations

An introduction to the basic theory and applications of differential equations. Fundamentals of Differential Equations presents the basic theory of differential equations and offers a variety of modern applications in science and engineering. This flexible text allows instructors to adapt to various...

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Detalles Bibliográficos
Otros Autores: Nagle, R. Kent, author (author), Saff, E. B., 1944- author, Snider, Arthur David, author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Harlow, England : Pearson [2019]
Edición:Ninth edition, Global edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009767232906719
Tabla de Contenidos:
  • Cover
  • Title Page
  • Copyright Page
  • Dedicated to R. Kent Nagle
  • Contents
  • Preface
  • Our Goal
  • New to This Edition
  • Prerequisites
  • Sample Syllabi
  • Retained Features
  • Technology and Supplements
  • Acknowledgments
  • Acknowledgments for the Global Edition
  • Chapter 1: Introduction
  • 1.1. Background
  • 1.2. Solutions and Initial Value Problems
  • 1.3. Direction Fields
  • 1.4. The Approximation Method of Euler
  • Chapter 1: Summary
  • Review Problems for Chapter 1
  • Technical Writing Exercises for Chapter 1
  • Projects for Chapter 1
  • A. Picard's Method
  • B. The Phase Line
  • C. Applications to Economics
  • D. Taylor Series Method
  • Chapter 2: First-Order Differential Equations
  • 2.1. Introduction: Motion of a Falling Body
  • 2.2. Separable Equations
  • 2.3. Linear Equations
  • 2.4. Exact Equations
  • 2.5. Special Integrating Factors
  • 2.6. Substitutions and Transformations
  • Chapter 2: Summary
  • Review Problems for Chapter 2
  • Technical Writing Exercises for Chapter 2
  • Projects for Chapter 2
  • A. Oil Spill in a Canal
  • B. Differential Equations in Clinical Medicine
  • C. Torricelli's Law of Fluid Flow
  • D. The Snowplow Problem
  • E. Two Snowplows
  • F. Clairaut Equations and Singular Solutions
  • G. Multiple Solutions of a First-Order Initial Value Problem
  • H. Utility Functions and Risk Aversion
  • I. Designing a Solar Collector
  • J. Asymptotic Behavior of Solutions to Linear Equations
  • Chapter 3: Mathematical Models and Numerical Methods Involving First-Order Equations
  • 3.1. Mathematical Modeling
  • 3.2. Compartmental Analysis
  • 3.3. Heating and Cooling of Buildings
  • 3.4. Newtonian Mechanics
  • 3.5. Electrical Circuits
  • 3.6. Numerical Methods: A Closer Look At Euler's Algorithm
  • 3.7. Higher-Order Numerical Methods: Taylor and Runge-Kutta
  • Projects for Chapter 3
  • A. Dynamics of HIV Infection.
  • B. Aquaculture
  • C. Curve of Pursuit
  • D. Aircraft Guidance in a Crosswind
  • E. Market Equilibrium: Stability and Time Paths
  • F. Stability of Numerical Methods
  • G. Period Doubling and Chaos
  • Chapter 4: Linear Second-Order Equations
  • 4.1. Introduction: The Mass-Spring Oscillator
  • 4.2. Homogeneous Linear Equations: The General Solution
  • 4.3. Auxiliary Equations with Complex Roots
  • 4.4. Nonhomogeneous Equations: The Method of Undetermined Coefficients
  • 4.5. The Superposition Principle and Undetermined Coefficients Revisited
  • 4.6. Variation of Parameters
  • 4.7. Variable-Coefficient Equations
  • 4.8. Qualitative Considerations for Variable-Coefficient and Nonlinear Equations
  • 4.9. A Closer Look at Free Mechanical Vibrations
  • 4.10. A Closer Look at Forced Mechanical Vibrations
  • Chapter 4: Summary
  • Review Problems for Chapter 4
  • Technical Writing Exercises for Chapter 4
  • Projects for Chapter 4
  • A. Nonlinear Equations Solvable by First-Order Techniques
  • B. Apollo Reentry
  • C. Simple Pendulum
  • D. Linearization of Nonlinear Problems
  • E. Convolution Method
  • F. Undetermined Coefficients Using Complex Arithmetic
  • G. Asymptotic Behavior of Solutions
  • H. Gravity Train†
  • Chapter 5: Introduction to Systems and Phase Plane Analysis
  • 5.1. Interconnected Fluid Tanks
  • 5.2. Differential Operators and the Elimination Method* for Systems
  • 5.3. Solving Systems and Higher-Order Equations Numerically
  • 5.4. Introduction to the Phase Plane
  • 5.5. Applications to Biomathematics: Epidemic and Tumor Growth Models
  • 5.6. Coupled Mass-Spring Systems
  • 5.7. Electrical Systems
  • 5.8. Dynamical Systems, Poincaré Maps, and Chaos
  • Chapter 5: Summary
  • Review Problems for Chapter 5
  • Projects for Chapter 5
  • A. Designing a Landing System for Interplanetary Travel
  • B. Spread of Staph Infections in Hospitals-Part I.
  • C. Things That Bob
  • D. Hamiltonian Systems
  • E. Cleaning Up the Great Lakes
  • F. The 2014-2015 Ebola Epidemic
  • G. Phase-Locked Loops
  • Chapter 6: Theory of Higher-Order Linear Differential Equations
  • 6.1. Basic Theory of Linear Differential Equations
  • 6.2. Homogeneous Linear Equations with Constant Coefficients
  • 6.3. Undetermined Coefficients and the Annihilator Method
  • 6.4. Method Of Variation of Parameters
  • Chapter 6: Summary
  • Review Problems for Chapter 6
  • Technical Writing Exercises for Chapter 6
  • Projects for Chapter 6
  • A. Computer Algebra Systems and Exponential Shift
  • B. Justifying the Method of Undetermined Coefficients
  • C. Transverse Vibrations of a Beam
  • D. Higher-Order Difference Equations
  • Chapter 7: Laplace Transforms
  • 7.1. Introduction: A Mixing Problem
  • 7.2. Definition of the Laplace Transform
  • 7.3. Properties of the Laplace Transform
  • 7.4. Inverse Laplace Transform
  • 7.5. Solving Initial Value Problems
  • 7.6. Transforms of Discontinuous Functions
  • 7.7. Transforms of Periodic and Power Functions
  • 7.8. Convolution
  • 7.9. Impulses and the Dirac Delta Function
  • 7.10. Solving Linear Systems with Laplace Transforms
  • Chapter 7: Summary
  • Review Problems for Chapter 7
  • Technical Writing Exercises for Chapter 7
  • Projects for Chapter 7
  • A. Duhamel's Formulas
  • B. Frequency Response Modeling
  • C. Determining System Parameters
  • Chapter 8: Series Solutions of Differential Equations
  • 8.1. Introduction: The Taylor Polynomial Approximation
  • 8.2. Power Series and Analytic Functions
  • 8.3. Power Series Solutions to Linear Differential Equations
  • 8.4. Equations with Analytic Coefficients
  • 8.5. Cauchy-Euler (Equidimensional) Equations
  • 8.6. Method of Frobenius
  • 8.7. Finding a Second Linearly Independent Solution
  • 8.8. Special Functions
  • Chapter 8: Summary.
  • Review Problems for Chapter 8
  • Technical Writing Exercises for Chapter 8
  • Projects for Chapter 8
  • A. Alphabetization Algorithms
  • B. Spherically Symmetric Solutions to Schrödinger's Equation for the Hydrogen Atom
  • C. Airy's Equation
  • D. Buckling of a Tower
  • E. Aging Spring and Bessel Functions
  • Chapter 9: Matrix Methods for Linear Systems
  • 9.1. Introduction
  • 9.2. Review 1: Linear Algebraic Equations
  • 9.3. Review 2: Matrices and Vectors
  • 9.4. Linear Systems in Normal Form
  • 9.5. Homogeneous Linear Systems with Constant Coefficients
  • 9.6. Complex Eigenvalues
  • 9.7. Nonhomogeneous Linear Systems
  • 9.8. The Matrix Exponential Function
  • Chapter 9: Summary
  • Review Problems for Chapter 9
  • Technical Writing Exercises for Chapter 9
  • Projects for Chapter 9
  • A. Uncoupling Normal Systems
  • B. Matrix Laplace Transform Method
  • C. Undamped Second-Order Systems
  • Chapter 10: Partial Differential Equations
  • 10.1. Introduction: A Model for Heat Flow
  • 10.2. Method of Separation of Variables
  • 10.3. Fourier Series
  • 10.4. Fourier Cosine and Sine Series
  • 10.5. The Heat Equation
  • 10.6. The Wave Equation
  • 10.7. Laplace's Equation
  • Chapter 10: Summary
  • Technical Writing Exercises for Chapter 10
  • Projects for Chapter 10
  • A. Steady-State Temperature Distribution in a Circular Cylinder
  • B. Laplace Transform Solution of the Wave Equation
  • C. Green's Function
  • D. Numerical Method for Δu = f on α Rectangle
  • E. The Telegrapher's Equation and the Cable Equation
  • Appendices
  • Appendix A: Review of Integration Techniques
  • Appendix B: Newton's Method
  • Appendix C: Simpson's Rule
  • Appendix D: Cramer's Rule
  • Appendix E: Method of Least Squares
  • Appendix F: Runge-Kutta Procedure for n Equations
  • Appendix G: Software for Analyzing Differential Equations
  • Answers to Odd-Numbered Problems
  • Index.
  • Back Cover.