Linear Algebra with Applications
Listed in: Mathematics and Statistics, as MATH-22
Tanya L. Leise (Section 01)
The study of vector spaces over the real and complex numbers, introducing the concepts of subspace, linear independence, basis, and dimension; systems of linear equations and their solution by Gaussian elimination; matrix operations; linear transformations and their representations by matrices; eigenvalues and eigenvectors; and inner product spaces. Additional topics include ill-conditioned systems of equations, the LU decomposition, covariance matrices, least squares, and the singular value decomposition. Recommended for Economics majors who wish to learn linear algebra. Four class hours per week, with occasional in-class computer labs. Requisite: Mathematics 12 or consent of the instructor. This course and Mathematics 21 may not both be taken for credit. Spring semester. Professor Leise.