These are just the answers, or just hints, not the full justification. For full credit, you should give a little more explanation than I gave here. I did these fairly quickly; it's always possible that I made a mistake (professors make mistakes too!) #1 ((1-y)/2,y,1) #2 the cofactors are 0,42,-35,0,-21,14,-3,12,3. The determinant is -21. The inverse is -1/21 times the transpose of the cofactors. #3 A is 1 1 1 b is 1 1 0 0 0 1 1 1 1 the solutions are (1 - c) |t| + c|t|^2. the LU factorization is 1 0 0 1 1 1 L = 1 1 0 U = 0 -1 -1 1 0 1 0 0 0 the row-space has basis [1 1 1],[1 0 0] the null-space has basis [0 1 -1 ] the col-space has basis [1 1 1] [1 0 1] the least square solutions are (1/2 - c) |t| + c |t|^2 #4 F T T T T T T T T #5 1, e^(2\pi i/3) e^(-2\pi i/3), S = 1 1 1 D = 1 0 0 1 e^(2\pi i/3) e^(-2\pi i/3) 0 e^(2\pi i/3) 0 1 e^(4\pi i/3) e^(-4\pi i/3) 0 0 e^(-2\pi/3) Typo: should say eigenvalues of A^5. These are the same as those for A. I - A has eigenvalues 1 - 1 = 0, 1 - e^(2\pi i/3), 1 - e^(-2\pi i/3). #6 1,0 (twice) In fact A is symmetric, so there is an orthogonal diagonalization D = 1 0 0 S = 1/\sqrt{3} 1/\sqrt{2} 1/\sqrt{6} 0 0 0 1/\sqrt{3} -1/\sqrt{2} 1/\sqrt{6} 0 0 0 1/\sqrt{3} 0 -2/\sqrt{6} S^{-1} = S^T A^5 = A I-A has eigenvalues 0,-1 #7 yes,A = 1 -1 3 1 1 1 1 0 0 no, T(v+w) \neq T(v) + T(w) yes,A= - \sqrt{3}/2 1/2 -1/2 -\sqrt{3}/2 yes, A = 1 0 0 0 1 0 0 0 0 #8 (Answer to b only) In the long run, 3/7 of the customers are with A. #9 Method: Apply Gram-Schmidt to e.g. [2 1 0 0], [2 0 1 0], [2 0 0 1] (b) proj_V v = (v \cdot u1) u1 + .... (v \cdot u3) u3 (e) proj_V = u1 u1^T + ... + u3 u3^T, if the ui's are column-vectors. otherwise, u1^T u1 etc. (f) should be crossed off. We did not do this material this year. #10 a = 3,b = -2, y1,y2 are (2x1 - x2)/\sqrt{5}, (x1 + 2 x2)/\sqrt{5} #11 use the fact that det(A - \lambda I) = det( (A - \lambda I)^T) #12 use || v || = v^T v = (c_1 u_1 + ......... c_n u_n) (c_1 u_1 + ............ c_n u_n)^T etc.