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Unformatted text preview: Math 235 Assignment 9 Practice Problems 1. Let A = 1 1 1 4 4 1 . Find the maximum and minimum value of k A~x k for ~x R 2 subject to the constraint k ~x k = 1. Solution: We have A T A = 18 9 9 18 . Hence, the eigenvalues of A T A are 1 = 27 and 2 = 9. Thus the maximum of k A~x k subject to k ~x k = 1 is 27 and the minimum is 9 = 3. 2. Find a singular value decomposition of each of the following matrices. a) A = 1 2 2 2 2 1 Solution: We have A T A = 9 0 0 9 . Hence, the eigenvalues are 1 = 9 and 2 = 9, so the singular values are 1 = 3 and 2 = 3. We take V = I . Then We let ~u 1 = 1 1 A~v 1 = 1 3 1 2 2 ~u 2 = 1 2 A~v 2 = 1 3  2 2 1 Extend { ~u 1 ,~u 2 } to an orthonormal basis for R 3 using ~u 3 = ~u 1 ~u 2 = 1 3  2 1 2 . Thus, we take U = ~u 1 ~u 2 ~u 3 , = 3 0 0 3 0 0 and V = I . We then have A = U V T . 2 b) A = 4 4 2 3 2 4 Solution: Let...
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 Fall '08
 CELMIN
 Math

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