| Preface |
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xiii | |
| A Note To Students |
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xix | |
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Linear Equations in Linear Algebra |
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1 | (96) |
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Introductory Example: Linear Models in Economics and Engineering |
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1 | (96) |
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Systems of Linear Equations |
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2 | (11) |
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Row Reduction and Echelon Forms |
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13 | (14) |
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27 | (12) |
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The Matrix Equation Ax = b |
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39 | (9) |
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Solution Sets of Linear Systems |
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48 | (10) |
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58 | (8) |
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Introduction to Linear Transformations |
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66 | (10) |
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The Matrix of a Linear Transformation |
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76 | (9) |
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Linear Models in Business, Science, and Engineering |
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85 | (10) |
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95 | (2) |
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97 | (82) |
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Introductory Example: Computer Graphics in Automotive Design |
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97 | (82) |
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98 | (12) |
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110 | (10) |
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Characterizations of Invertible Matrices |
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120 | (5) |
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125 | (8) |
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133 | (10) |
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Iterative Solutions of Linear Systems |
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143 | (5) |
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The Leontief Input-Output Model |
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148 | (7) |
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Applications to Computer Graphics |
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155 | (10) |
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165 | (12) |
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177 | (2) |
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179 | (30) |
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Introductory Example: Determinants in Analytic Geometry |
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179 | (30) |
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Introduction to Determinants |
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180 | (7) |
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Properties of Determinants |
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187 | (8) |
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Cramer's Rule, Volume, and Linear Transformations |
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195 | (11) |
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206 | (3) |
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209 | (86) |
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Introductory Example: Space Flight and Control Systems |
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209 | (86) |
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Vector Spaces and Subspaces |
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210 | (10) |
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Null Spaces, Column Spaces, and Linear Transformations |
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220 | (11) |
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Linearly Independent Sets; Bases |
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231 | (9) |
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240 | (10) |
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The Dimension of a vector Space |
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250 | (7) |
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257 | (8) |
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265 | (6) |
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Applications to Difference Equations |
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271 | (11) |
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Applications to Markov Chains |
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282 | (10) |
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292 | (3) |
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Eigenvalues and Eigenvectors |
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295 | (72) |
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Introductory Example: Dynamical Systems and Spotted Owls |
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295 | (72) |
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Eigenvectors and Eigenvalues |
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296 | (9) |
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The Characteristic Equation |
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305 | (8) |
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313 | (8) |
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Eigenvectors and Linear Transformations |
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321 | (8) |
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329 | (7) |
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Discrete Dynamical Systems |
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336 | (11) |
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Applications to Differential Equations |
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347 | (10) |
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Iterative Estimates for Eigenvalues |
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357 | (8) |
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365 | (2) |
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Orthogonality and Least-Squares |
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367 | (74) |
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Introductory Example: Readjusting the North American Datum |
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367 | (74) |
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Inner Product, Length, and Orthogonality |
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369 | (9) |
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378 | (11) |
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389 | (8) |
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397 | (7) |
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404 | (10) |
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Applications to Linear Models |
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414 | (8) |
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422 | (9) |
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Applications of Inner Product Spaces |
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431 | (8) |
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439 | (2) |
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Symmetric Matrices and Quadratic Forms |
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|
441 | |
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Introductory Example: Multichannel Image Processing |
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441 | |
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Diagonalization of Symmetric Matrices |
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443 | |
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450 | |
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458 | |
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The Singular Value Decomposition |
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|
466 | |
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Applications to Image Processing and Statistics |
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|
477 | |
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|
485 | |
| Appendixes |
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A Uniqueness of the Reduced Echelon Form |
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|
A1 | |
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|
A3 | |
| Glossary |
|
A9 | |
| Answers to Odd-Numbered Exercises |
|
A21 | |
| Index |
|
I1 | |