Linear Algebra
3rd Edition
Published on 12. September 1996
Book
Hardback
557 pages
978-0-13-233859-2 (ISBN)
Description
An accessible, applications-oriented presentation of the theory of linearalgebra. This is the top selling theorem-proof text in the market. *NEW - The text has been extensively rewritten with many additional examples and exercises and for increased clarity. *NEW - Additional material on the reduced echelon form of a matrix is included in Section 3.4. *A significant number of interesting and accessible exercises. *Real-world applications are provided throughout the book that reveal the power of the subject by demonstrating its practical uses.
More details
Edition
3rd edition
Language
English
Place of publication
United States
Publishing group
Pearson Education (US)
Target group
Professional and scholarly
Dimensions
Height: 236 mm
Width: 158 mm
Thickness: 25 mm
Weight
812 gr
ISBN-13
978-0-13-233859-2 (9780132338592)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Friedberg
Linear Algebra
Book
05/1993
2nd Edition
Pearson Education Limited
€53.37
Article exhausted; check different version
Content
Preface.
1. Vector Spaces.
Introduction. Vector Spaces. Subspaces. Linear Combinations and Systems of Linear Equations. Linear Dependence and Linear Independence. Bases and Dimension. Maximal Linearly Independent Subsets.
2. Linear Transformations and Matrices.
Linear Transformations, Null Spaces, and Ranges. The Matrix Representation of a Linear Transformation. Composition of Linear Transformations and Matrix Multiplication. Invertibility and Isomorphisms. The Change of Coordinate Matrix. Dual Spaces. Homogeneous Linear Differential Equations with Constant Coefficients.
3. Elementary Matrix Operations and Systems of Linear Equations.
Elementary Matrix Operations and Elementary Matrices. The Rank of a Matrix and Matrix Inverses. Systems of Linear Equations-Theoretical Aspects. Systems of Linear Equations-Computational Aspects.
4. Determinants.
Determinants of Order 2. Determinants of Order n. Properties of Determinants. Summary-Important Facts about Determinants. A Characterization of the Determinant.
5. Diagonalization.
Eigenvalues and Eigenvectors. Diagonalizability. Matrix Limits and Markov Chains. Invariant Subspaces and the Cayley-Hamilton Theorem.
6. Inner Product Spaces.
Inner Products and Norms. The Gram-Schmidt Orthogonalization Process and Orthogonal Complements. The Adjoint of a Linear Operator. Normal and Self-Adjoint Operators. Unitary and Orthogonal Operators and Their Matrices. Orthogonal Projections and the Spectral Theorem. Bilinear and Quadratic Forms. Einstein's Special Theory of Relativity. Conditioning and the Rayleigh Quotient. The Geometry of Orthogonal Operators.
7. Canonical Forms.
Jordan Canonical Form I. Jordan Canonical Form II. The Minimal Polynomial. Rational Canonical Form.
Appendices.
Sets. Functions. Fields. Complex Numbers. Polynomials.
Answers to Selected Exercises.
List of Frequently Used Symbols.
Index of Theorems.
Index.
1. Vector Spaces.
Introduction. Vector Spaces. Subspaces. Linear Combinations and Systems of Linear Equations. Linear Dependence and Linear Independence. Bases and Dimension. Maximal Linearly Independent Subsets.
2. Linear Transformations and Matrices.
Linear Transformations, Null Spaces, and Ranges. The Matrix Representation of a Linear Transformation. Composition of Linear Transformations and Matrix Multiplication. Invertibility and Isomorphisms. The Change of Coordinate Matrix. Dual Spaces. Homogeneous Linear Differential Equations with Constant Coefficients.
3. Elementary Matrix Operations and Systems of Linear Equations.
Elementary Matrix Operations and Elementary Matrices. The Rank of a Matrix and Matrix Inverses. Systems of Linear Equations-Theoretical Aspects. Systems of Linear Equations-Computational Aspects.
4. Determinants.
Determinants of Order 2. Determinants of Order n. Properties of Determinants. Summary-Important Facts about Determinants. A Characterization of the Determinant.
5. Diagonalization.
Eigenvalues and Eigenvectors. Diagonalizability. Matrix Limits and Markov Chains. Invariant Subspaces and the Cayley-Hamilton Theorem.
6. Inner Product Spaces.
Inner Products and Norms. The Gram-Schmidt Orthogonalization Process and Orthogonal Complements. The Adjoint of a Linear Operator. Normal and Self-Adjoint Operators. Unitary and Orthogonal Operators and Their Matrices. Orthogonal Projections and the Spectral Theorem. Bilinear and Quadratic Forms. Einstein's Special Theory of Relativity. Conditioning and the Rayleigh Quotient. The Geometry of Orthogonal Operators.
7. Canonical Forms.
Jordan Canonical Form I. Jordan Canonical Form II. The Minimal Polynomial. Rational Canonical Form.
Appendices.
Sets. Functions. Fields. Complex Numbers. Polynomials.
Answers to Selected Exercises.
List of Frequently Used Symbols.
Index of Theorems.
Index.