Symmetry Analysis of Differential Equations: An IntroductionISBN: 9781118721407
192 pages
January 2015

Description
A selfcontained introduction to the methods and techniques of symmetry analysis used to solve ODEs and PDEs
Symmetry Analysis of Differential Equations: An Introduction presents an accessible approach to the uses of symmetry methods in solving both ordinary differential equations (ODEs) and partial differential equations (PDEs). Providing comprehensive coverage, the book fills a gap in the literature by discussing elementary symmetry concepts and invariance, including methods for reducing the complexity of ODEs and PDEs in an effort to solve the associated problems.
Thoroughly classtested, the author presents classical methods in a systematic, logical, and wellbalanced manner. As the book progresses, the chapters graduate from elementary symmetries and the invariance of algebraic equations, to ODEs and PDEs, followed by coverage of the nonclassical method and compatibility. Symmetry Analysis of Differential Equations: An Introduction also features:
 Detailed, stepbystep examples to guide readers through the methods of symmetry analysis
 Endofchapter exercises, varying from elementary to advanced, with select solutions to aid in the calculation of the presented algorithmic methods
Symmetry Analysis of Differential Equations: An Introduction is an ideal textbook for upperundergraduate and graduatelevel courses in symmetry methods and applied mathematics. The book is also a useful reference for professionals in science, physics, and engineering, as well as anyone wishing to learn about the use of symmetry methods in solving differential equations.
Table of Contents
Preface i
Acknowledgements iii
Dedication iv
1 An Introduction 1
1.1 What is a symmetry? 1
1.2 Lie Groups 4
1.3 Invariance of Differential Equations 6
1.4 Some Ordinary Differential Equations 8
1.5 Exercises 11
2 Ordinary Differential Equations 13
2.1 Infinitesimal Transformations 16
2.2 Lie’s Invariance Condition 19
2.2.1 Exercises 22
2.3 Standard Integration Techniques 23
2.3.1 Linear Equations 24
2.3.2 Bernoulli Equation 25
2.3.3 Homogeneous Equations 26
2.3.4 Exact Equations 27
2.3.5 Riccati Equations 30
2.3.6 Exercises 31
2.4 Infinitesimal Operator and Higher Order Equations 32
2.4.1 The Infinitesimal Operator 32
2.4.2 The Extended Operator 32
2.4.3 Extension to Higher Orders 33
2.4.4 First Order Infinitesimals (revisited) 33
2.4.5 Second Order Infinitesimals 34
2.4.6 The Invariance of Second Order Equations 35
2.4.7 Equations of arbitrary order 36
2.5 Second Order Equations 36
2.5.1 Exercises 46
2.6 Higher Order Equations 47
2.6.1 Exercises 51
2.7 ODE Systems 52
2.7.1 First Order Systems 52
2.7.2 Higher Order Systems 56
2.7.3 Exercises 60
3 Partial Differential Equations 62
3.1 First Order Equations 62
3.1.1 What do we do with the symmetries of PDEs? 65
3.1.2 Direct Reductions 68
3.1.3 The Invariant Surface Condition 70
3.1.4 Exercises 71
3.2 Second Order PDEs 71
3.2.1 Heat Equation 71
3.2.2 Laplace’s Equation 76
3.2.3 Burgers’ Equation and a Relative 80
3.2.4 Heat equation with a source 85
3.2.5 Exercises 91
3.3 Higher Order PDEs 93
3.3.1 Exercises 98
3.4 Systems of PDEs 99
3.4.1 First order systems 99
3.4.2 Second order systems 103
3.4.3 Exercises 106
3.5 Higher Dimensional PDEs 107
3.5.1 Exercises 113
4 Nonclassical Symmetries and Compatibility 114
4.1 Nonclassical Symmetries 114
4.1.1 Invariance of the Invariant Surface Condition 116
4.1.2 The nonclassical method 117
4.2 Nonclassical Symmetry Analysis and Compatibility 125
4.3 Beyond Symmetries Analysis − General compatibility
126
4.3.1 Compatibility with First Order PDEs  Charpit’s Method
127
4.3.2 Compatibility of systems 134
4.3.3 Compatibility of the nonlinear heat equation 136
4.4 Exercises 137
4.5 Concluding Remarks 138
Solutions 139
References 145
Author Information
DANIEL J. ARRIGO, PhD, is Professor in the Department of Mathematics at the University of Central Arkansas. The author of over 30 journal articles, his research interests include the construction of exact solutions of PDEs; symmetry analysis of nonlinear PDEs; and solutions to physically important equations, such as nonlinear heat equations and governing equations modeling of granular materials and nonlinear elasticity. In 2008, Dr. Arrigo received the OklahomaArkansas Section of the Mathematical Association of America’s Award for Distinguished Teaching of College or University Mathematics.