please solve both as other did wrong plz
please solve both as other did wrong plz 8. [0/5 Points] DETAILS PREVIOUS ANSWERS LARLINALG8 7.1.021....
please solve both 7. [-14 Points] DETAILS LARLINALG8 7.1.019. Find the characteristic equation and the eigenvalues and corresponding eigenvectors) of the matrix. - (a) the characteristic equation (b) the eigenvalues (Enter your answers from smallest to largest.) (11, 12) = -(C) the corresponding eigenvectors X1 = X2 = Need Help? Read It Watch It Talk to a Tutor 8. [0/5 Points] DETAILS PREVIOUS ANSWERS LARLINALG8 7.1.021. -1 Find the characteristic equation and the eigenvalues and corresponding eigenvectors) of the matrix....
plz solve all 3 9. (1/5 Points] DETAILS PREVIOUS ANSWERS LARLINALG8 7.1.025. Find the characteristic equation and the eigenvalues and corresponding eigenvectors) of the matrix. 0 -3 -4 4 -6 0 0 (a) the characteristic equation (-23 +812 - 42 - 48) X (b) the eigenvalues (Enter your answers from smallest to largest.) (dzo dz, dz) = (-2,4,6 the corresponding eigenvectors Need Help? Read It Talk to a Tutor Submit Answer 10. [-/1 Points] DETAILS LARLINALG8 7.1.041. Find the eigenvalues...
DETAILS LARLINALG8 7.R.004. Find the characteristic equation of A, the eigenvalues of A, and a basis for the eigenspace corresponding to each eigenvalue. --8 1 2 011 005 (a) the characteristic equation of A A= (b) the eigenvalues of A (Enter your answers from smallest to largest.) (2, 22, 2₃) = (c) a basis for the eigenspace corresponding to each eigenvalue basis for the eigenspace of 1 = basis for the eigenspace of 12 basis for the eigenspace of 13...
DETAILS LARLINALG8 7.3.033. Show that any two eigenvectors of the symmetric matrix A corresponding to distinct eigenvalues are orthogonal. 3 A = Find the characteristic polynomial of A. |u-A=1 Find the eigenvalues of A. (Enter your answers from smallest to largest.) (14, 12) = Find the general form for every eigenvector corresponding to 1. (Use s as your parameter.) X1 = Find the general form for every eigenvector corresponding to 12. (Use t as your parameter.) X2 = Find x,...
DETAILS LARLINALG8 7.3.007. Find the eigenvalues of the symmetric matrix. (Enter your answers as a comma-separated list. Enter your answers from smallest to largest.) For each eigenvalue, find the dimension of the corresponding eigenspace. (Enter your answers as a comma-separated list.) dim(x) =
please solve both 3. [-12 Points] DETAILS LARLINALG8 7.2.007. For the matrix A, find (if possible) a nonsingular matrix P such that p-1AP is diagonal. (If not possible, enter IMPOSSIBLE.) 8 -2 A= P= Verify that P-1AP is a diagonal matrix with the eigenvalues on the main diagonal. p-1AP = 1. [0/2 Points] DETAILS PREVIOUS ANSWERS LARLINALG8 7.2.001. Consider the following. -11 40 A= -27 (a) Verify that A is diagonalizable by computing p-1AP. -1 0 p-1AP = 10 3...
Find the characteristic equation and the eigenvalues (and corresponding eigenvectors) of the matrix. 2 -2 7 0 3 -2 0 -1 2 (a) the characteristic equation (b) the eigenvalues (Enter your answers from smallest to largest.) (91, 12, 13) = 1, 2, 4 the corresponding eigenvectors X1 = x X2 = X3 =
Find the characteristic equation and the eigenvalues (and corresponding eigenvectors) of the matrix. -4 4-6 (a) the characteristic equation (b) the eigenvalues (Enter your answers from smallest to largest.) A1, ?2, ?3) the corresponding eigenvectors X1 =
Find the characteristic equation and the eigenvalues (and corresponding eigenvectors) of the matrix. سال یہ -1 (a) the characteristic equation 1 X 2² - 1/2 (b) the eigenvalues (Enter your answers from smallest to largest.) (11, 12) = 1 1 2'2 the corresponding eigenvectors (0,0) x X2 - Viewing Saved Work Revert to Last Response Submit Answer
2. (-16 Points) DETAILS CHENEYLINALG2 6.1.017. 0/2 Submissions Used 9 Let A - Find the characteristic polynomial. 11 Det(A - AI) - Find the eigenvalues and eigenvectors for each eigenvalue. (Order your answers from smallest to largest eigenvalue.) 21 has eigenspace span 12 has eigenspace span Find a matrix P such that p-'AP is a diagonal matrix. P