Linear Algebra with Applications

Graduate / Professional

Matrix representation of linear equations. Gauss elimination. Vector spaces. Linear independence, basis, and dimension. Orthogonality, projection, least squares approximation; orthogonalization and orthogonal bases. Extension to function spaces. Determinants. Eigenvalues and eigenvectors. Diagonalization. Difference equations and matrix differential equations. Symmetric and Hermitian matrices. Orthogonal and unitary transformations; similarity transformations. Students who plan to continue with upper level math courses should instead consider MATH 2250 or 2260 . After MATH 1150 or equivalent. May not be taken after MATH 2250 or 2260 . May not be counted toward the Math, CPSC + Math, or Econ + Math major. QR HTBA