Linear Algebra by Stephen H. Friedberg, Lawrence E. Spence, Arnold J. Insel

Description: Linear Algebra SummaryLinear Algebra by Stephen H. FriedbergAn 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. Book Overview For courses in Advanced Linear Algebra. This top-selling, theorem-proof text presents a careful treatment of the principle topics of linear algebra, and illustrates the power of the subject through a variety of applications. It emphasizes the symbiotic relationship between linear transformations and matrices, but states theorems in the more general infinite-dimensional case where appropriate. This description may be from another edition of this product. Bibliographic Details Title: Linear Algebra (3rd Edition) Publisher: Prentice Hall Publication Date: 1996 Binding: Hardcover Edition: 3rd Edition Synopsis: This book is an accessible, applications-oriented presentation of the principles of linear algebra. A significant number of interesting and accessible exercises are included. Real-world applications are provided throughout the book that reveal the power of the subject by demonstrating its practical uses. Additional material on the reduced echelon form of a matrix is included in Section 3.4. From the Publisher: An accessible, applications-oriented presentation of the theory of linear algebra. This is the top selling theorem-proof text in the market. "About this title" may belong to another edition of this title. Table of Contents 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.

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