Unformatted text preview: ibility 5. Subspaces, kernel and image of a linear transformation 6. Linearly independent, orthogonal and orthonormal sets of vectors 7. Basis, linear combinations of basis vectors, coordinates, change of basis, similar matrices 8. GramSchmidt process for ﬁnding an orthonormal basis 9. Determinants, calculating the determinant, geometric interpretation of the determinant, classical adjoint 10. Eigenvalues and eigenvectors, ﬁnding them, algebraic vs. geometric multiplicity, diagonalization, powers of a matrix, complex eigenvalues 1...
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 Winter '08
 lee
 Linear Algebra, Linear Equations, Equations, Transformations, GaussJordan Elimination, Systems Of Linear Equations, Row echelon form, linear transformation

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