Consider the following matrix
A= -3 4
4 3
(a) (8 points) Diagonalize A.
(b) (4 points) Using your result of part (a) compute A^20 . You must perform the multiplication to receive a single matrix as a result but you don’t have to simplify the high powers in the entries. Your result should look like A^20 = 5^b × B for some matrix B and power b.
Consider the following matrix A= -3 4 4 3 (a) (8 points) Diagonalize A. (b) (4...
Diagonalize the following matrix. The real eigenvalues are given to the right of the matrix. 2 2 -4 - 1 5 -4 ; 2 = 3,8 -2 7 Select the correct choice below and, if necessary, fill in the answer box to complete your choice. O A. 3 0 0 For P = D= 0 3 0 0 0 8 (Simplify your answer.) B. 3 00 For P = D = 0 8 0 0 0 8 (Simplify your answer.)...
4. Find all the eigenvalues and eigenvectors of the following 3 by 3 matrix. If it is possible to diagonalized, then diagonalize the matrix. If it is not possible to diagonalize, then explain why? Show all the work. (20 points) 54 -5 A = 1 0 LO 1 1 - 1 -1
(1 point) Consider the matrix -5 7 8-9 20 -30 8-3 -15 -19 9 -4 10-11 5-8 (a) On the matrix above, perform the row operation R1 15 R1 . The new matrix is: (b) Using the matrix obtained in your answer for part (a) as the initial matrix, next perform the row operations () R3 R3 15R1, (iii) R4→R4+10R1. The new matrix is: (c) Using the matrix obtained in your answer for part (b) as the initial matrix, next...
16.-1 points poolelinalg4 5.4.006.nva My Notes Ask Your Teache Orthogonally diagonalize the matrix below by finding an orthogonal matrix Q and a diagonal matrix D such that QT AQ = D separated list.) Enter each matrix in the form row 1 row 2 where each row is a comma- 3 3 0 0 4 3 Need Help? 17. 1 points poolelinalg4 5.4.009 nva My Notes Ask Your Teacher Orthogonally diagonalize the matrix below by finding an orthogonal matrix Q and...
Consider the following matrices 2. .6 6 .9 A2 Ag (a) Diagonalize each matrix by writing A SAS-1 (b) For each of these three matrices, compute the limit Ak-SNS-1 as k-+ 00 if it exists. (c) Suppose A is an n x n matrix that is diagonalizable (so it has n linearly independent eigenvectors). What must be true for the limit Ak to exist as k → oo? What is needed for Ak-+ O? Justify your answer.
4. Consider the following matrix [1 0 -27 A=000 L-2 0 4] (a) (3 points) Find the characteristic polynomial of A. (b) (4 points) Find the eigenvalues of A. Give the algebraic multiplicity of each eigenvalue (c) (8 points) Find the eigenvectors corresponding to the eigenvalues found in part (b). (d) (4 points) Give a diagonal matrix D and an invertible matrix P such that A = PDP-1 (e) (6 points) Compute P-and verify that A= PDP- (show your steps).
Thank you!
Diagonalize the following matrix. The real eigenvalues are given to the right of the matrix. 1 18 12 -1 10 4 : 1 = 3,4 1 -6 Select the correct choice below and, if necessary, fill in the answer box to complete your choice. A. 300 For P=D=030 0 0 4 0 B. 3 0 0 For P= D= 040 004 OC. The matrix cannot be diagonalized.
3) [16 points totall Consider the following algorithm: int SillyCalc (int n) { int i; int Num, answer; if (n < 4) 10; return n+ else f SillyCalc(Ln/4) answer Num Num 10 for (i-2; i<=n-1; i++) Num + = answer + answer; answer return answer } Do a worst case analysis of this algorithm, counting additions only (but not loop counter additions) as the basic operation counted, and assuming that n is a power of 2, i.e. that n- 2*...
Q3 (8 points) In the following A is a 3 × 4 matrix (3 rows, 4 columns) and the coefficient matrix of a system of linear equations. A. Find an example of such a matrix A and a vector b such that the system with augmented matrix [A | b] has no solution. Justify your answer. B. Find an example of such a matrix A and a vector b such that the system with augmented matrix [A | b] has...
Question 3) (8 points) Consider the following matrix: A= ſi 4 0 0 28 3 12 2 11 -5 5 6 0 8 1 (a) Find a basis for the Rowspace(A). Then state the dimension of the Rowspace(A). (b) Find a basis for the Colspace(A). Then state the dimension of the Colspace(A). (e) Find a basis for the Nullspace(A). Then state the dimension of the Nullspace(A). (d) State and confirm the Rank-Nullity Theorem for this matrix.