![Given 242 matoria 15 12 3 ㄴ 5 2 STEPG 124) ASD 1 2 15 3 ~9 130) 433) 2 5 (3) 4 J - 3 5 = 4 ) 3 STEPG =9 ㄴ 4 (-3) - 1X] 더25) -](http://img.homeworklib.com/questions/58d46760-df3e-11ea-99a9-e180144d4fb7.png?x-oss-process=image/resize,w_560)
Use the fact that cA| = |A to evaluate the determinant of the nxn matrix. A=...
use a graphing utility to evaluate the determinant for the
given matrix shown to the right
Jse a graphing utility to evaluate the determinant of the matrix shown to the right. 3 3 1 1-2 2 3 1 - 1 20 3 -5 -5 - -1 0 03 20 -5 -5 -2 1
general order n x n
2.21 Find the determinant and inverse of the nxn matrix 10 1 1 ... 1 0 1 ... 1 1 0 ... 1 1 1 1 1 1 ...
Use a graphing utility to evaluate the determinant for the given matrix. - 1 1 - 1 -3 2 2 1 6 3 0 0 an 5 -4 -4 -3 - 1 1 -1 - 3 2 2 1 6 3 0 0 5 5 -4 -4
Evaluate the determinant of the matrix and state whether the matrix is invertible. 1 -3 17 E=1-17 2 -5 29 Part: 0/2 Part 1 of 2 The determinant is
need help with part 2. is the matrix invertible or not
invertible?
Evaluate the determinant of the matrix and state whether the matrix is invertible. 7-72 C=-1-5 6 -5 9 4 Part 1 of 2 The determinant is 268 Part: 1/2 Part 2 of 2 invertible. The matrix (Choose one is is not Х
(12 points) Evaluate the determinant of the matrix D using cofactor expansion down the second column, then find det(3D) and det((2D)-1). D = [ 1 -5 301 3 0 4 3 -1 0 -3 0 I 3 8 6 2
8. Let A be an nxn matrix with distinct n eigenvalues X1, 2... (a) What is the determinant of A. (b) If a 2 x 2 matrix satisfies tr(AP) = 5, tr(A) = 3, then find det(A). (The trace of a square matrix A, denoted by tr(A), is the sum of the elements on the main diagonal of A.
Evaluate the determinant of
the given matrix. Answer should be 16. Please show work.
12 3 4 35. 2 3 6 7 1 5 8 20
Use expansion by cofactors to find the determinant of the matrix. - 3 4 -1 13 1 2 | -1 4 2 Use expansion by cofactors to find the determinant of the matrix. [65 31 0 4 1 00-3]
Show that the matrix is not diagonalizable. 1-42 13 0 02 STEP 1: Use the fact that the matrix is triangular to write down the eigenvalues. (Enter your answers from smallest to largest.) (11.22) = STEP 2: Find the eigenvectors Xi and X2 corresponding to 1, and 12, respectively. X1 = X2 - STEP 3: Since the matrix does not have ---Select-- linearly independent eigenvectors, you can conclude that the matrix is not diagonalizable.