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MATH 2150 HW 3 DUE: Thursday, April 30th, 2009 0 6 6 3 1 2 1 1 1. Let A = 4 1 3 4 1 3 2 0 Find a. a basis for the row space of A b. a basis for the column space of A c. a basis for the nullspace of A d. rank of A e. nullity of A 2. Let V = C[-1, 1] = vector space of all continuous functions defined on [-1, 1] with the standard definitions of addition and scalar multiplication. We define an inner product on V as 1 <f, g> = f ( x) g ( x)dx 1 Find a. <f, g> b. 2 f(x) = -x and g(x) = x - x + 2 ||g|| c. d(f, g) where 3. Let W be the subspace of R 4 (with Euclidean inner product) spanned by the vectors (1, 1, 0, 7) and (2, 1, 2, 6). Find a basis for the orthogonal complement of W. 3. Let u = (1, -3) and v = (5, 1). Use the inner product <u, v> = 3u 1 v 1 + 5u 2 v 2 to compute the following: a. || v || b. d(u, v) c. the angle between u and v. 4. Suppose that u, v, and w are vectors in an inner product space such that <u., v> = 5, <v, w> = -2, <u, w> = 1, || u || = 2, || v || = 1, || w || = 3. Evaluate the given expression. a. || u + v || b. <2u + 3v, 4v – w> 5. Let V = R 2 and let u = (u 1 , u 2 ) and v = (v 1 , v 2 ) be in R 2 . We define <u, v> as <u, v> = u 1 u 2 + v 1 v 2 (*) Does (*) define an inner product on V? 6. Let u = (2, -2, 1). Find the coordinate vector of u relative to the orthonormal basis 1 3 3 1 B = {( , 0, ), (0, 1, 0), ( , 0, )} using the Euclidean inner product on R 3 . 10 10 10 10 7. Consider R 3 with the Euclidean inner product. In each part, use the Gram Schmidt process to transform the given basis into an orthonormal basis. (a) {(1, 1, 1), (1, 1, 0), (1, 0 , 0)} (b) {(1, -2, 2), (2, 2, 1), (2, -1, -2)} 4 0 1 8. Let A = 2 3 2 1 0 4 a. Find eigenvalues of A. b. For each eigenvalue of A, find a basis for the eigenspace of A. c. Is A diagonalizable? If yes, find a matrix P that diagonalizes A and then determine P 1 AP.