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At a Glance
388 Pages
24.6 x 16.3 x 2.1
Paperback
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This short but rigorous book approaches the main ideas of linear algebra through carefully selected examples and relevant applications. It is intended for students with various interests in mathematics, as well as established scientists seeking to refresh their basic mathematical culture.The book is also a good introduction to functional analysis and quantum theory since it discusses the general principles of linear algebra without finiteness assumptions.
Industry Reviews
| Foreword | p. vii |
| Linear Systems: Elimination Method | p. 1 |
| Examples of Linear Systems | p. 1 |
| A Review Example | p. 1 |
| Covering a Sphere with Hexagons and Pentagons | p. 2 |
| A Literal Example | p. 7 |
| Homogeneous Systems | p. 11 |
| A Chemical Reaction | p. 11 |
| Reduced Forms | p. 12 |
| Elimination Algorithm | p. 17 |
| Elementary Row Operations | p. 18 |
| Comparison of the Systems (S) and (HS) | p. 21 |
| Appendix | p. 22 |
| Potentials on a Grid | p. 22 |
| Another Illustration of the Fundamental Principle | p. 23 |
| The Euler Theorem f + v = e + 2 | p. 25 |
| Fullerenes, Radiolarians | p. 25 |
| Exercises | p. 26 |
| Vector Spaces | p. 31 |
| The Language | p. 31 |
| Axiomatic Properties | p. 31 |
| An Important Principle | p. 32 |
| Examples | p. 33 |
| Vector Subspaces | p. 35 |
| Finitely Generated Vector Spaces | p. 36 |
| Generators | p. 36 |
| Linear Independence | p. 39 |
| The Dimension | p. 41 |
| Infinite-Dimensional Vector Spaces | p. 44 |
| The Space of Polynomials | p. 45 |
| Existence of Bases: The Mathematical Credo | p. 47 |
| Infinite-Dimensional Examples | p. 49 |
| Appendix | p. 52 |
| Set Theory, Notation | p. 52 |
| Axioms for Fields of Scalars | p. 56 |
| Exercises | p. 56 |
| Matrix Multiplication | p. 60 |
| Row by Column Multiplication | p. 60 |
| Linear Fractional Transformations | p. 60 |
| Linear Changes of Variables | p. 61 |
| Definition of the Matrix Product | p. 62 |
| The Map Produced by Matrix Multiplication | p. 66 |
| Row Operations and Matrix Multiplication | p. 67 |
| Elementary Matrices | p. 68 |
| An Inversion Algorithm | p. 70 |
| LU Factorizations | p. 72 |
| Simultaneous Resolution of Linear Systems | p. 76 |
| Matrix Multiplication by Blocks | p. 76 |
| Explanation of the Method | p. 76 |
| The Field of Complex Numbers | p. 79 |
| Appendix | p. 80 |
| Affine Maps | p. 80 |
| The Field of Quaternions | p. 81 |
| The Strassen Algorithm | p. 82 |
| Exercises | p. 82 |
| Linear Maps | p. 88 |
| Linearity | p. 88 |
| Preliminary Considerations | p. 88 |
| Definition and First Properties | p. 90 |
| Examples of Linear Maps | p. 91 |
| General Results | p. 92 |
| Image and Kernel of a Linear Map | p. 92 |
| How to Construct Linear Maps | p. 94 |
| Matrix Description of Linear Maps | p. 95 |
| The Dimension Theorem for Linear Maps | p. 98 |
| The Rank-Nullity Theorem | p. 98 |
| Row-Rank versus Column-Rank | p. 99 |
| Application: Invertible Matrices | p. 101 |
| Isomorphisms | p. 102 |
| Generalities | p. 102 |
| Models of Finite-Dimensional Vector Spaces | p. 104 |
| Change of Basis: Components of Vectors | p. 105 |
| Change of Basis: Matrices of Linear Maps | p. 107 |
| The Trace of Square Matrices | p. 107 |
| Appendix | p. 108 |
| Inverting Maps Between Sets | p. 108 |
| Another Proof of Invertibility | p. 109 |
| Exercises | p. 112 |
| The Rank Theorem | p. 116 |
| More on Row- versus Column-Rank | p. 116 |
| Factorizations of a Matrix | p. 116 |
| Low Rank Examples | p. 117 |
| A Basis for the Column Space | p. 118 |
| Direct Sum of Vector Spaces | p. 119 |
| Sum of Two Subspaces | p. 119 |
| Supplementary Subspaces | p. 121 |
| Direct Sum of Two Subspaces | p. 123 |
| Independent Subspaces (General Case) | p. 125 |
| Finite Direct Sums of Vector Spaces | p. 126 |
| Projectors | p. 128 |
| An Example and General Definition | p. 128 |
| Geometrical Meaning of P[superscript 2] = P | p. 129 |
| Tricks of the Trade | p. 132 |
| Appendix | p. 133 |
| Pyramid of Ages | p. 133 |
| Color Theory | p. 134 |
| Genetics | p. 138 |
| Einstein Summation Convention | p. 139 |
| Exercises | p. 140 |
| Eigenvectors and Eigenvalues | p. 144 |
| Introduction | p. 144 |
| Definitions and Examples | p. 145 |
| Definitions | p. 145 |
| Simple 2 x 2 Examples | p. 146 |
| A 4 x 4 Example | p. 148 |
| Abstract Examples | p. 150 |
| General Results | p. 153 |
| Estimation of the Number of Eigenvalues | p. 153 |
| Localization of Eigenvalues | p. 154 |
| A Method for Finding Eigenvectors | p. 155 |
| Eigenvectors and Commutation | p. 156 |
| Applications of Eigenvectors | p. 157 |
| The Fibonacci Numbers | p. 157 |
| Diagonalization | p. 160 |
| Appendix | p. 162 |
| Eigenvectors of AB and of BA | p. 162 |
| Complements on the Fibonacci Numbers | p. 163 |
| Exercises | p. 163 |
| Inner-Product Spaces | p. 167 |
| About Multiplication and Products | p. 167 |
| The Dot Product in Plane Geometry | p. 168 |
| The Dot Product in R[superscript n] | p. 171 |
| Abstract Inner Products and Norms | p. 172 |
| Definition and Examples | p. 172 |
| The Cauchy-Schwarz-Bunyakovskii Inequality | p. 174 |
| The Pythagorean Theorem | p. 175 |
| More Identities | p. 176 |
| Orthonormal Bases | p. 179 |
| Euclidean Spaces | p. 179 |
| The Best Approximation Theorem | p. 181 |
| First Application: Periodic Functions | p. 183 |
| Second Application: Least Squares Method | p. 184 |
| Orthogonal Subspaces | p. 187 |
| Orthogonal of a Subset | p. 188 |
| The Support of a Linear Map | p. 189 |
| Least Squares Revisited | p. 192 |
| Appendix: Finite Probability Spaces | p. 194 |
| Random Variables | p. 194 |
| Algebras of Random Variables | p. 197 |
| Independence of Random Variables | p. 199 |
| Exercises | p. 200 |
| Symmetric Operators | p. 205 |
| Definition and First Properties | p. 205 |
| Intrinsic Characterization of Symmetry | p. 206 |
| General Properties of Symmetric Operators | p. 207 |
| Diagonalization | p. 208 |
| Statement of the Result | p. 208 |
| Existence of Eigenvectors | p. 209 |
| Inductive Construction | p. 211 |
| Applications | p. 212 |
| Quadratic Forms | p. 212 |
| Classification of Quadrics | p. 213 |
| Positive Definite Operators | p. 216 |
| Appendix | p. 219 |
| Principal Axes and Statistics | p. 219 |
| Functions of a Symmetric Operator | p. 220 |
| Special Configurations | p. 222 |
| Exercises | p. 225 |
| Duality | p. 227 |
| Geometric Introduction | p. 227 |
| Duality for Platonic Solids | p. 227 |
| The Pappus Theorem and its Dual | p. 229 |
| Dual of a Vector Space | p. 231 |
| Definition and First Properties | p. 231 |
| Dual Bases | p. 233 |
| Bidual of a Vector Space | p. 234 |
| Dual of a Normed Space | p. 235 |
| Dual Norm | p. 235 |
| Dual of a Euclidean Space | p. 236 |
| Dual of Important Norms in R[superscript n] | p. 238 |
| Transposition of Linear Maps | p. 240 |
| Transposition of Operators in Euclidean Spaces | p. 240 |
| Abstract Formulation of Transposition | p. 241 |
| Exercises | p. 243 |
| Determinants | p. 246 |
| From Space Geometry to Determinants | p. 247 |
| Areas in R[superscript 3] | p. 247 |
| The Cross Product in R[superscript 3] | p. 249 |
| The Scalar Triple Product | p. 251 |
| Volume Forms in Vector Spaces | p. 254 |
| Properties of Volume Forms: Uniqueness | p. 255 |
| Construction of Volume Forms in R[superscript n] | p. 258 |
| Determinant of an Operator | p. 260 |
| Volume-Amplification Factor | p. 260 |
| Determinants and Row Operations | p. 263 |
| Examples of Determinants | p. 266 |
| Geometric Examples | p. 267 |
| Arithmetic and Algebraic Examples | p. 268 |
| Examples in Calculus | p. 270 |
| Symbolic Determinants | p. 272 |
| Appendix | p. 274 |
| Permutations and Signs | p. 274 |
| More Examples | p. 275 |
| Exercises | p. 277 |
| Applications | p. 285 |
| The Characteristic Polynomial | p. 285 |
| Definition and Basic Properties | p. 285 |
| Examples | p. 287 |
| The Spectrum of an Operator | p. 288 |
| Changing the Field of Scalars | p. 288 |
| Roots of the Characteristic Polynomial | p. 289 |
| Existence of a Complex Eigenvalue | p. 293 |
| Cramer's Rule | p. 294 |
| Solution of Regular Linear Systems | p. 294 |
| Inversion of a Matrix | p. 297 |
| LU Factorizations: Necessary Condition | p. 298 |
| Construction of Orthonormal Bases | p. 299 |
| A Selection of Important Results | p. 301 |
| The Frobenius and Cayley-Hamilton Theorems | p. 301 |
| Restricting Scalars from C to R | p. 304 |
| Appendix | p. 306 |
| Back to AB and BA | p. 306 |
| Covariant Components | p. 307 |
| Series of Matrices | p. 308 |
| Exercises | p. 310 |
| Normal Operators | p. 315 |
| Orthogonal Matrices | p. 315 |
| General Properties | p. 315 |
| Geometric Properties | p. 318 |
| Spectral Properties | p. 319 |
| Transposition and Normal Operators | p. 321 |
| Skew-Symmetric Operators | p. 322 |
| Back to Orthogonal Operators | p. 323 |
| Normal Operators, Spectral Properties | p. 324 |
| Hermitian Inner Products | p. 325 |
| Hermitian Inner Product in C[superscript n] | p. 325 |
| The Adjoint of an Operator | p. 326 |
| Special Classes of Complex Operators | p. 327 |
| The Spectral Theorem for Normal Operators | p. 329 |
| Appendix | p. 330 |
| General Properties of Isometries | p. 330 |
| The Polar Decomposition | p. 331 |
| The Singular Value Decomposition | p. 333 |
| Anti-Commutation Relations | p. 337 |
| Exercises | p. 339 |
| Helpful Supplements | p. 345 |
| Some Hints for the Exercises | p. 345 |
| Answers to Some Exercises | p. 350 |
| Review Exercises | p. 354 |
| Axioms for Fields and Vector Spaces | p. 363 |
| Summary for the Cross Product in R[superscript 3] | p. 364 |
| Inner Products, Norms, and Distances | p. 366 |
| The Greek Alphabet | p. 367 |
| References | p. 368 |
| Index | p. 369 |
| Table of Contents provided by Ingram. All Rights Reserved. |
ISBN: 9789812564993
ISBN-10: 9812564993
Published: 29th August 2005
Format: Paperback
Number of Pages: 388
Audience: College, Tertiary and University
Publisher: World Scientific Publishing Co Pte Ltd
Country of Publication: GB
Dimensions (cm): 24.6 x 16.3 x 2.1
Weight (kg): 0.65
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