Description

Book Synopsis

A modern approach to mathematical modeling, featuring unique applications from the field of mechanics

An Introduction to Mathematical Modeling: A Course in Mechanics is designed to survey the mathematical models that form the foundations of modern science and incorporates examples that illustrate how the most successful models arise from basic principles in modern and classical mathematical physics. Written by a world authority on mathematical theory and computational mechanics, the book presents an account of continuum mechanics, electromagnetic field theory, quantum mechanics, and statistical mechanics for readers with varied backgrounds in engineering, computer science, mathematics, and physics.

The author streamlines a comprehensive understanding of the topic in three clearly organized sections:

  • Nonlinear Continuum Mechanics introduces kinematics as well as force and stress in deformable bodies; mass and momentum; balance of linear and angular mome

    Trade Review

    “The book also serves as a valuable reference for professionals working in the areas of modeling and simulation, physics, and computational engineering.” (Zentralblatt MATH, 2012)



    Table of Contents

    Preface xiii

    I Nonlinear Continuum Mechanics 1

    1 Kinematics of Deformable Bodies 3

    1.1 Motion 4

    1.2 Strain and Deformation Tensors 7

    1.3 Rates of Motion 10

    1.4 Rates of Deformation 13

    1.5 The Piola Transformation 15

    1.6 The Polar Decomposition Theorem 19

    1.7 Principal Directions and Invariants of Deformation and Strain 20

    1.8 The Reynolds' Transport Theorem 23

    2 Mass and Momentum 25

    2.1 Local Forms of the Principle of Conservation of Mass 26

    2.2 Momentum 28

    3 Force and Stress in Deformable Bodies 29

    4 The Principles of Balance of Linear and Angular Momentum 35

    4.1 Cauchy's Theorem: The Cauchy Stress Tensor 36

    4.2 The Equations of Motion (Linear Momentum) 38

    4.3 The Equations of Motion Referred to the Reference Configuration: The Piola-Kirchhoff Stress Tensors 40

    4.4 Power 42

    5 The Principle of Conservation of Energy 45

    5.1 Energy and the Conservation of Energy 45

    5.2 Local Forms of the Principle of Conservation of Energy 47

    6 Thermodynamics of Continua and the Second Law 49

    7 Constitutive Equations 53

    7.1 Rules and Principles for Constitutive Equations 54

    7.2 Principle of Material Frame Indifference 57

    7.2.1 Solids 57

    7.2.2 Fluids 59

    7.3 The Coleman-Noll Method: Consistency with the Second Law of Thermodynamics 60

    8 Examples and Applications 63

    8.1 The Navier-Stokes Equations for Incompressible Flow 63

    8.2 Flow of Gases and Compressible Fluids: The Compressible Navier-Stokes Equations 66

    8.3 Heat Conduction 67

    8.4 Theory of Elasticity 69

    II Electromagnetic Field Theory and Quantum Mechanics 73

    9 Electromagnetic Waves 75

    9.1 Introduction 75

    9.2 Electric Fields 75

    9.3 Gauss's Law 79

    9.4 Electric Potential Energy 80

    9.4.1 Atom Models 80

    9.5 Magnetic Fields 81

    9.6 Some Properties of Waves 84

    9.7 Maxwell's Equations 87

    9.8 Electromagnetic Waves 91

    10 Introduction to Quantum Mechanics 93

    10.1 Introductory Comments 93

    10.2 Wave and Particle Mechanics 94

    10.3 Heisenberg's Uncertainty Principle 97

    10.4 Schrödinger's Equation 99

    10.4.1 The Case of a Free Particle 99

    10.4.2 Superposition in Rn 101

    10.4.3 Hamiltonian Form 102

    10.4.4 The Case of Potential Energy 102

    10.4.5 Relativistic Quantum Mechanics 102

    10.4.6 General Formulations of Schrödinger's Equation 103

    10.4.7 The Time-Independent Schrödinger Equation 104

    10.5 Elementary Properties of the Wave Equation 104

    10.5.1 Review 104

    10.5.2 Momentum 106

    10.5.3 Wave Packets and Fourier Transforms 109

    10.6 The Wave-Momentum Duality 110

    10.7 Appendix: A Brief Review of Probability Densities 111

    11 Dynamical Variables and Observables in Quantum Mechanics: The Mathematical Formalism 115

    11.1 Introductory Remarks 115

    11.2 The Hilbert Spaces L2(R) (or L2(Rd)) and H1(R) (or H1(Rd)) 116

    11.3 Dynamical Variables and Hermitian Operators 118

    11.4 Spectral Theory of Hermitian Operators: The Discrete Spectrum 121

    11.5 Observables and Statistical Distributions 125

    11.6 The Continuous Spectrum 127

    11.7 The Generalized Uncertainty Principle for Dynamical Variables 128

    11.7.1 Simultaneous Eigenfunctions 130

    12 Applications: The Harmonic Oscillator and the Hydrogen Atom 131

    12.1 Introductory Remarks 131

    12.2 Ground States and Energy Quanta: The Harmonic Oscillator 131

    12.3 The Hydrogen Atom 133

    12.3.1 Schrödinger Equation in Spherical Coordinates 135

    12.3.2 The Radial Equation 136

    12.3.3 The Angular Equation 138

    12.3.4 The Orbitals of the Hydrogen Atom 140

    12.3.5 Spectroscopic States 140

    13 Spin and Pauli's Principle 145

    13.1 Angular Momentum and Spin 145

    13.2 Extrinsic Angular Momentum 147

    13.2.1 The Ladder Property: Raising and Lowering States 149

    13.3 Spin 151

    13.4 Identical Particles and Pauli's Principle 155

    13.5 The Helium Atom 158

    13.6 Variational Principle 161

    14 Atomic and Molecular Structure 165

    14.1 Introduction 165

    14.2 Electronic Structure of Atomic Elements 165

    14.3 The Periodic Table 169

    14.4 Atomic Bonds and Molecules 173

    14.5 Examples of Molecular Structures 180

    15 Ab Initio Methods: Approximate Methods and Density Functional Theory 189

    15.1 Introduction 189

    15.2 The Born-Oppenheimer Approximation 190

    15.3 The Hartree and the Hartree-Fock Methods 194

    15.3.1 The Hartree Method 196

    15.3.2 The Hartree-Fock Method 196

    15.3.3 The Roothaan Equations 199

    15.4 Density Functional Theory 200

    15.4.1 Electron Density 200

    15.4.2 The Hohenberg-Kohn Theorem 205

    15.4.3 The Kohn-Sham Theory 208

    III Statistical Mechanics 213

    16 Basic Concepts: Ensembles, Distribution Functions, and Averages 215

    16.1 Introductory Remarks 215

    16.2 Hamiltonian Mechanics 216

    16.2.1 The Hamiltonian and the Equations of Motion 218

    16.3 Phase Functions and Time Averages 219

    16.4 Ensembles, Ensemble Averages, and Ergodic Systems 220

    16.5 Statistical Mechanics of Isolated Systems 224

    16.6 The Microcanonical Ensemble 228

    16.6.1 Composite Systems 230

    16.7 The Canonical Ensemble 234

    16.8 The Grand Canonical Ensemble 239

    16.9 Appendix: A Brief Account of Molecular Dynamics 240

    16.9.1 Newtonian's Equations of Motion 241

    16.9.2 Potential Functions 242

    16.9.3 Numerical Solution of the Dynamical System 245

    17 Statistical Mechanics Basis of Classical Thermodynamics 249

    17.1 Introductory Remarks 249

    17.2 Energy and the First Law of Thermodynamics 250

    17.3 Statistical Mechanics Interpretation of the Rate of Work in Quasi-Static Processes 251

    17.4 Statistical Mechanics Interpretation of the First Law of Thermodynamics 254

    17.4.1 Statistical Interpretation of Q 256

    17.5 Entropy and the Partition Function 257

    17.6 Conjugate Hamiltonians 259

    17.7 The Gibbs Relations 261

    17.8 Monte Carlo and Metropolis Methods 262

    17.8.1 The Partition Function for a Canonical Ensemble 263

    17.8.2 The Metropolis Method 264

    17.9 Kinetic Theory: Boltzmann's Equation of Nonequilibrium Statistical Mechanics 265

    17.9.1 Boltzmann's Equation 265

    17.9.2 Collision Invariants 268

    17.9.3 The Continuum Mechanics of Compressible Fluids and Gases: The Macroscopic Balance Laws 269

    Exercises 273

    Bibliography 317

    Index 325

An Introduction to Mathematical Modeling

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A Hardback by J. Tinsley Oden

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    View other formats and editions of An Introduction to Mathematical Modeling by J. Tinsley Oden

    Publisher: John Wiley & Sons Inc
    Publication Date: 18/11/2011
    ISBN13: 9781118019030, 978-1118019030
    ISBN10: 1118019032

    Description

    Book Synopsis

    A modern approach to mathematical modeling, featuring unique applications from the field of mechanics

    An Introduction to Mathematical Modeling: A Course in Mechanics is designed to survey the mathematical models that form the foundations of modern science and incorporates examples that illustrate how the most successful models arise from basic principles in modern and classical mathematical physics. Written by a world authority on mathematical theory and computational mechanics, the book presents an account of continuum mechanics, electromagnetic field theory, quantum mechanics, and statistical mechanics for readers with varied backgrounds in engineering, computer science, mathematics, and physics.

    The author streamlines a comprehensive understanding of the topic in three clearly organized sections:

    • Nonlinear Continuum Mechanics introduces kinematics as well as force and stress in deformable bodies; mass and momentum; balance of linear and angular mome

      Trade Review

      “The book also serves as a valuable reference for professionals working in the areas of modeling and simulation, physics, and computational engineering.” (Zentralblatt MATH, 2012)



      Table of Contents

      Preface xiii

      I Nonlinear Continuum Mechanics 1

      1 Kinematics of Deformable Bodies 3

      1.1 Motion 4

      1.2 Strain and Deformation Tensors 7

      1.3 Rates of Motion 10

      1.4 Rates of Deformation 13

      1.5 The Piola Transformation 15

      1.6 The Polar Decomposition Theorem 19

      1.7 Principal Directions and Invariants of Deformation and Strain 20

      1.8 The Reynolds' Transport Theorem 23

      2 Mass and Momentum 25

      2.1 Local Forms of the Principle of Conservation of Mass 26

      2.2 Momentum 28

      3 Force and Stress in Deformable Bodies 29

      4 The Principles of Balance of Linear and Angular Momentum 35

      4.1 Cauchy's Theorem: The Cauchy Stress Tensor 36

      4.2 The Equations of Motion (Linear Momentum) 38

      4.3 The Equations of Motion Referred to the Reference Configuration: The Piola-Kirchhoff Stress Tensors 40

      4.4 Power 42

      5 The Principle of Conservation of Energy 45

      5.1 Energy and the Conservation of Energy 45

      5.2 Local Forms of the Principle of Conservation of Energy 47

      6 Thermodynamics of Continua and the Second Law 49

      7 Constitutive Equations 53

      7.1 Rules and Principles for Constitutive Equations 54

      7.2 Principle of Material Frame Indifference 57

      7.2.1 Solids 57

      7.2.2 Fluids 59

      7.3 The Coleman-Noll Method: Consistency with the Second Law of Thermodynamics 60

      8 Examples and Applications 63

      8.1 The Navier-Stokes Equations for Incompressible Flow 63

      8.2 Flow of Gases and Compressible Fluids: The Compressible Navier-Stokes Equations 66

      8.3 Heat Conduction 67

      8.4 Theory of Elasticity 69

      II Electromagnetic Field Theory and Quantum Mechanics 73

      9 Electromagnetic Waves 75

      9.1 Introduction 75

      9.2 Electric Fields 75

      9.3 Gauss's Law 79

      9.4 Electric Potential Energy 80

      9.4.1 Atom Models 80

      9.5 Magnetic Fields 81

      9.6 Some Properties of Waves 84

      9.7 Maxwell's Equations 87

      9.8 Electromagnetic Waves 91

      10 Introduction to Quantum Mechanics 93

      10.1 Introductory Comments 93

      10.2 Wave and Particle Mechanics 94

      10.3 Heisenberg's Uncertainty Principle 97

      10.4 Schrödinger's Equation 99

      10.4.1 The Case of a Free Particle 99

      10.4.2 Superposition in Rn 101

      10.4.3 Hamiltonian Form 102

      10.4.4 The Case of Potential Energy 102

      10.4.5 Relativistic Quantum Mechanics 102

      10.4.6 General Formulations of Schrödinger's Equation 103

      10.4.7 The Time-Independent Schrödinger Equation 104

      10.5 Elementary Properties of the Wave Equation 104

      10.5.1 Review 104

      10.5.2 Momentum 106

      10.5.3 Wave Packets and Fourier Transforms 109

      10.6 The Wave-Momentum Duality 110

      10.7 Appendix: A Brief Review of Probability Densities 111

      11 Dynamical Variables and Observables in Quantum Mechanics: The Mathematical Formalism 115

      11.1 Introductory Remarks 115

      11.2 The Hilbert Spaces L2(R) (or L2(Rd)) and H1(R) (or H1(Rd)) 116

      11.3 Dynamical Variables and Hermitian Operators 118

      11.4 Spectral Theory of Hermitian Operators: The Discrete Spectrum 121

      11.5 Observables and Statistical Distributions 125

      11.6 The Continuous Spectrum 127

      11.7 The Generalized Uncertainty Principle for Dynamical Variables 128

      11.7.1 Simultaneous Eigenfunctions 130

      12 Applications: The Harmonic Oscillator and the Hydrogen Atom 131

      12.1 Introductory Remarks 131

      12.2 Ground States and Energy Quanta: The Harmonic Oscillator 131

      12.3 The Hydrogen Atom 133

      12.3.1 Schrödinger Equation in Spherical Coordinates 135

      12.3.2 The Radial Equation 136

      12.3.3 The Angular Equation 138

      12.3.4 The Orbitals of the Hydrogen Atom 140

      12.3.5 Spectroscopic States 140

      13 Spin and Pauli's Principle 145

      13.1 Angular Momentum and Spin 145

      13.2 Extrinsic Angular Momentum 147

      13.2.1 The Ladder Property: Raising and Lowering States 149

      13.3 Spin 151

      13.4 Identical Particles and Pauli's Principle 155

      13.5 The Helium Atom 158

      13.6 Variational Principle 161

      14 Atomic and Molecular Structure 165

      14.1 Introduction 165

      14.2 Electronic Structure of Atomic Elements 165

      14.3 The Periodic Table 169

      14.4 Atomic Bonds and Molecules 173

      14.5 Examples of Molecular Structures 180

      15 Ab Initio Methods: Approximate Methods and Density Functional Theory 189

      15.1 Introduction 189

      15.2 The Born-Oppenheimer Approximation 190

      15.3 The Hartree and the Hartree-Fock Methods 194

      15.3.1 The Hartree Method 196

      15.3.2 The Hartree-Fock Method 196

      15.3.3 The Roothaan Equations 199

      15.4 Density Functional Theory 200

      15.4.1 Electron Density 200

      15.4.2 The Hohenberg-Kohn Theorem 205

      15.4.3 The Kohn-Sham Theory 208

      III Statistical Mechanics 213

      16 Basic Concepts: Ensembles, Distribution Functions, and Averages 215

      16.1 Introductory Remarks 215

      16.2 Hamiltonian Mechanics 216

      16.2.1 The Hamiltonian and the Equations of Motion 218

      16.3 Phase Functions and Time Averages 219

      16.4 Ensembles, Ensemble Averages, and Ergodic Systems 220

      16.5 Statistical Mechanics of Isolated Systems 224

      16.6 The Microcanonical Ensemble 228

      16.6.1 Composite Systems 230

      16.7 The Canonical Ensemble 234

      16.8 The Grand Canonical Ensemble 239

      16.9 Appendix: A Brief Account of Molecular Dynamics 240

      16.9.1 Newtonian's Equations of Motion 241

      16.9.2 Potential Functions 242

      16.9.3 Numerical Solution of the Dynamical System 245

      17 Statistical Mechanics Basis of Classical Thermodynamics 249

      17.1 Introductory Remarks 249

      17.2 Energy and the First Law of Thermodynamics 250

      17.3 Statistical Mechanics Interpretation of the Rate of Work in Quasi-Static Processes 251

      17.4 Statistical Mechanics Interpretation of the First Law of Thermodynamics 254

      17.4.1 Statistical Interpretation of Q 256

      17.5 Entropy and the Partition Function 257

      17.6 Conjugate Hamiltonians 259

      17.7 The Gibbs Relations 261

      17.8 Monte Carlo and Metropolis Methods 262

      17.8.1 The Partition Function for a Canonical Ensemble 263

      17.8.2 The Metropolis Method 264

      17.9 Kinetic Theory: Boltzmann's Equation of Nonequilibrium Statistical Mechanics 265

      17.9.1 Boltzmann's Equation 265

      17.9.2 Collision Invariants 268

      17.9.3 The Continuum Mechanics of Compressible Fluids and Gases: The Macroscopic Balance Laws 269

      Exercises 273

      Bibliography 317

      Index 325

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