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Linear
transformations and their representation by matrices, change of basis
and similarity, eigenvalues and eigenvectors, diagonalization, inner product
spaces, orthogonality, the Gram-Schmidt algorithm, least squares
approximations, abstract vector spaces, various applications.
This course is a continuation of either MATH 1025 3.0W or MATH
2221 3.0, and requires knowledge of the topics discussed in those
courses.
The text for the Fall offering of this course will match the text for
MATH 2221 from the Winter term of 1998/99.
The text for Winter term, and the grading schemes for both terms, have
not been determined as we go to press.
Prerequisite:AS/SC/MATH 1025 3.0 or AS/SC/AK/MATH 2221 3.0.
Exclusions:AS/SC/MATH 2022 3.0,
AK/MATH 2220 6.0.
Coordinator: Fall: T.B.A. Winter: Alfred Pietrowski
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