Spring 2019 Exam 2 3/27/19 Time Limit: / Problem Points Score. Total: 280

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Math 307 Spring 2019 Exam 2 3/27/19 Time Limit: / Name (Print): Problem Points Score 1 15 2 20 3 35 4 30 5 10 6 20 7 20 8 20 9 20 10 20 11 10 12 10 13 10 14 10 15 10 16 10 17 10 Total: 280

Math 307 Exam 2 - Page 2 of 13 3/27/19 1. Let S : R 2 R 2 and T : R 2 R 2 be transformations defined by S [ ] x = y [ ] 2x + y, T x y [ ] x = y [ ] x 4y 3x (a) (5 points) Show that S and T are both linear transformations. (b) (5 points) Find ST [ ] [ ] x x and T y 2. y (c) (5 points) Find the matrices of S and T with respect to the standard basis for R 2.

Math 307 Exam 2 - Page 3 of 13 3/27/19 2. (a) (10 points) Prove or provide a counter example: If T is a linear transformation, then so is T + T 2. (b) (10 points) Let D : C (, ) C (, ) be the usual derivative operator. Find a basis for the kernel of the operator (D 2 4D + 4) 2 (D 2 + 1)

Math 307 Exam 2 - Page 4 of 13 3/27/19 3. Let α be the standard basis for R 3 and β the basis consisting of the vectors 1 1 0 0, 1, 0 1 0 1 (a) (5 points) Find the change of basis matrix from α to β. (b) (10 points) Find the change of basis matrix from β to α. x x y (c) (10 points) Define T : R 3 R 3 by T y = y z, Find [T ] α α. z 2x + 3y 3z (d) (10 points) Express [T ] β β as the product of the three matrices found above.

Math 307 Exam 2 - Page 5 of 13 3/27/19 4. (a) (10 points) Let A be an n n matrix. Prove that a number λ is an eigenvalue of A if and only if det(λi A) = 0. (b) (10 points) Let A = [ ] 2 2. Find the eigenvalue(s) and associated eigenvectors of A. 1 3 (c) (10 points) Define what it means for A to be similar to a matrix B, and what it means for A to be diagonalizable. Prove that if A is similar to B, and A is diagonalizable, then B is also diagonalizable.

Math 307 Exam 2 - Page 6 of 13 3/27/19 5. (10 points) Find the eigenvalues and associated eigenvectors of the matrix [ ] 4 5 A = 4 4

Math 307 Exam 2 - Page 7 of 13 3/27/19 2 2 0 6. Let A = 0 3 0 0 0 1 (a) (10 points) Find the eigenvalues and associated eigenvectors of A. (b) (10 points) Determine if A is diagonalizable. If it is, give the matrix P and the diagonal matrix D such that P 1 AP = D.

Math 307 Exam 2 - Page 8 of 13 3/27/19 0 2 2 7. Let A = 2 0 2 2 2 0 (a) (10 points) Find the eigenvalues and associated eigenvectors of A. (b) (10 points) Determine if A is diagonalizable. If it is, give the matrix P and the diagonal matrix D such that P 1 AP = D.

Math 307 Exam 2 - Page 9 of 13 3/27/19 5 6 2 8. Let A = 0 1 8 1 0 2 (a) (10 points) Find the eigenvalues and associated eigenvectors of A. (b) (10 points) Determine if A is diagonalizable. If it is, give the matrix P and the diagonal matrix D such that P 1 AP = D.

Math 307 Exam 2 - Page 10 of 13 3/27/19 9. Suppose that A is a matrix with characteristic polynomial p(λ) = (λ 3) 2 (λ 2) 2. (a) (10 points) If dim(e 3 ) = 2 and dim(e 2 ) = 2 what is the Jordan Normal Form of A? (b) (10 points) If dim(e 3 ) = 1 and dim(e 2 ) = 2 what is the Jordan Normal Form of A?

Math 307 Exam 2 - Page 11 of 13 3/27/19 10. (20 points) Suppose that A is a matrix with characteristic polynomial p(λ) = (λ + 1) 2 (λ 5) 4. If we decide on a Jordan Normal Form, J, of A as [ ] B1 0 J = 0 B 2 where B 1 is a 2 2 matrix and B 2 is a 4 4 matrix, what are the possibilities (up to permutation of the Jordan blocks) of B 1 and B 2?

Math 307 Exam 2 - Page 12 of 13 3/27/19 11. (10 points) Is the following n n matrix diagonalizable? 1 1 0... 0 0 1 0... 0 0 0 1... 0....... 0 0 0... 1 12. (10 points) Prove that if A has one eigenvalue, r, then A is diagonalizable if and only if A = ri.

Math 307 Exam 2 - Page 13 of 13 3/27/19 13. (10 points) Prove that a matrix A is invertible if and only if 0 is not an eigenvalue of A. 14. (10 points) Prove that if A is invertible and λ is an eigenvalue of A, then 1 λ A 1. is an eigenvalue of 15. (10 points) Prove that if λ is an eigenvalue of A, then λ k is an eigenvalue of A k. 16. (10 points) Suppose that A and B are similar matrices. Show that they have the same eigenvalues. 17. (10 points) Prove or provide a counter example: Similar matrices have the same eigenvectors.