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A First Course in Linear Algebra
1st Edition - January 1, 1968
Author: Daniel Zelinsky
Editor: Samuel S. Saslaw
Language: English
eBook ISBN:9781483265001
9 7 8 - 1 - 4 8 3 2 - 6 5 0 0 - 1
A First Course in Linear Algebra provides an introduction to the algebra and geometry of vectors, matrices, and linear transformations. This book is designed as a background for…Read more
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A First Course in Linear Algebra provides an introduction to the algebra and geometry of vectors, matrices, and linear transformations. This book is designed as a background for second-year courses in calculus of several variables and differential equations where the theory of linear differential equations parallels that of linear algebraic equations. The topics discussed include the multiplication of vectors by scalars, vectors in n-space, planes and lines, and composites of linear mappings. The symmetric matrices and mappings, quadratic forms, change of coordinates, and effect of change of basis on matrices of linear functions are also described. This text likewise considers the computation of determinants, diagonalizable transformations, computation of eigenvalues and eigenvectors, and principal axis theorem. This publication is suitable for college students taking a course in linear algebra.
1. Vectors 1. Coordinate Systems 2. Vectors and Their Components 3. Length of a Vector 4. Multiplication of Vectors by Scahrs 5. Addition of Vectors; Linear Combinations 6. Dot Products 7. Cross Products 8, Vectors in n-Space 9. Still More General Vector Spaces2. Planes and Lines 1. Planes 2. Lines 3. Vector Functions of Scalars3. Linear Functions 1. Definition 2. Matrices 3. Sums and Scalar Multiples of Linear Mappings 4. Composites of Linear Mappings and Products of Matrices 5. Inverses 6. Kernel and Image4. Solution of Equations 1 Solution Process; Reduction to Echelon Form 2, Closer Analysis of the Solutions and the Solution Method5. Dimension 1. Subspaces 2. Dimension 3. Rank6. Determinants and Transposes 1. Computation of Determinants 2. Explicit Formulas 3. Transposes 4. Symmetric Matrices and Mappings7. Eigenvalues 1. Diagonalizable Transformations 2. Computation of Eigenvalues and Eigenvectors 3. Principal Axis Theorem8. Quadratic Forms and Change of Basis 1. Quadratic Forms 2. Change of Coordinates 3. Effect of Change of Basis on Matrices of Linear FunctionsAppendix I. A Smattering of LogicAppendix II. Existencc of Real Eigenvalues of SymmetricMappingsAnswersIndex
No. of pages: 276
Language: English
Edition: 1
Published: January 1, 1968
Imprint: Academic Press
eBook ISBN: 9781483265001
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