Elementary Linear Algebra

Elementary Linear Algebra : United States Edition

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Description

This book presents the basic ideas of linear algebra in a manner that users will find understandable. It offers a fine balance between abstraction/theory and computational skills, and gives readers an excellent opportunity to learn how to handle abstract concepts. Included in this comprehensive and easy-to-follow manual are these topics: linear equations and matrices; solving linear systems; real vector spaces; inner product spaces; linear transformations and matrices; determinants; eigenvalues and eigenvectors; differential equations; and MATLAB for linear algebra. Because this book gives real applications for linear algebraic basic ideas and computational techniques, it is useful as a reference work for mathematicians and those in field of computer science.show more

Product details

  • Hardback | 656 pages
  • 203.2 x 238.76 x 30.48mm | 1,270.05g
  • Pearson Education (US)
  • Pearson
  • United States
  • English
  • 8th edition
  • 0130457876
  • 9780130457875

Table of contents

(NOTE: All relevant chapters end with Supplementary Exercises.)1. Linear Equations and Matrices. Systems of Linear Equations. Matrices. Matrix Multiplication. Algebraic Properties of Matrix Operations. Special Types of Matrices and Partitioned Matrices. Matrix Transformations. Computer Graphics. Correlation Coefficient (Optional).2. Solving Linear Systems. Echelon Form of a Matrix. Elementary Matrices: Finding A-1. Equivalent Matrices. LU-Factorization (Optional).3. Real Vector Spaces. Vectors in the Plane and in 3-space. Vector Spaces. Subspaces. Span and Linear Independence. Basis and Dimension. Homogeneous Systems. Coordinates and Isomorphisms. Rank of a Matrix.4. Inner Product Spaces. Standard Inner Product on R2 and R3. Cross Product in R3 (Optional). Inner Product Spaces. Gram-Schmidt Process. Orthogonal Complements. Least Squares (Optional).5. Linear Transformations and Matrices. Definition and Examples. Kernel and Range of a Linear Transformation. Matrix of a Linear Transformation. Vector Space of Matrices and Vector Space of Linear Transformations (Optional). Similarity. Inroduction to Homogeneous Coordinates (Optional).6. Determinants. Definition. Properties of Determinants. Cofactor Expansion. Inverse of a Matrix. Other Applications of Determinants. Determinants from a Computational Point of View.7. Eigenvalues and Eigenvectors. Eigenvalues and Eigenvectors. Diagonalization and Similar Matrices. Stable Age Distribution in a Population; Markov Processes (Optional). Diagonalization of Symmetric Matrices. Spectral Decomposition and Singular Value Decomposition (Optional). Real Quadratic Forms. Conic Sections. Quadric Surfaces. Dominant Eigenvalue and Principal Component Analysis (Optional).8. Differential Equations (Optional). Differential Equations. Dynamical Systems.9. MATLAB for Linear Algebra. Input and Output in MATLAB. Matrix Operations in MATLAB. Matrix Powers and Some Special Matrices. Elementary Row Operations in MATLAB. Matrix Inverses in MATLAB. Vectors in MATLAB. Applications of Linear Combinations in MATLAB. Linear Transformations in MATLAB. MATLAB Command Summary.10. MATLAB Exercises. Appendix A: Preliminaries. Sets. Functions.Appendix B: Complex Numbers. Complex Numbers. Complex Numbers in Linear Algebra.Appendix C: Introduction to Proofs. Answers to Odd-Numbered Exercises. Index.show more

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29 ratings
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