Outstanding features include:
Early coverage of vector spaces, providing the abstract theory necessary to understand applications
Exercises that range from routine to more challenging, extending the concepts and techniques by asking students to construct complete arguments
Numerous examples designed to develop intuition and prepare readers to think conceptually about topics as they are introduced
Fact summaries to end each chapter that use nontechnical language to recapitulate details and formulas
Not-for-sale instructor resource material available to college and university faculty only; contact publisher directly.
Brief Table of Contents
1. Systems of Linear Equations and Matrices 2. Linear Combinations and Linear Independence 3. Vector Spaces 4. Linear Transformations 5. Eigenvalues and Eigenvectors 6. Inner Product Spaces