With the most geometric presentation now available, this reference emphasizes linear transformations as a unifying theme, and enables users to â doâ both computational and abstract math in each chapter. A second theme is introduced half way through the textâ when eigenvectors are reachedâ on dynamical systems. It also includes a wider range of problem sets than found in any other book in this market. Chapter topics include systems of linear equations; linear transformations; subspaces of Rn and their dimension; linear spaces; orthogonality and least squares; determinants; eigenvalues and eigenvectors; symmetric matrices and quadratic forms; and linear differential equations. For anyone seeking an introduction to linear algebra.
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