Unformatted text preview: reduction, subspaces, checking a function is linear, GramSchmidt, diagonalizing a matrix, computing eigenvectors and eigenvalues, calculating some determinants, calculating the inverse of a matrix, working out the matrix of a linear transformation relative to a basis etc. The best advice I have is that you work out the homework problems and do as many extra problems as you can. I may make some additional comments on Sunday, once I’ve written your exam. There will be approximately 10 questions, maybe 1 or 2 more, depending on how hard I think the initial 10 questions are. I hope that you’ll be able to complete the exam in at most two and half hours; time should not be a problem, so you should not worry about that. 1...
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This note was uploaded on 04/26/2009 for the course MATH 33a taught by Professor Lee during the Winter '08 term at UCLA.
 Winter '08
 lee
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