SIM1001/SIX1013/SJEM1110 Basic Mathematics - Part 2
Tutorial
7
Institute of Mathematical Sciences, University of Malaya
2 −1 0 1. Let A = −1 3 b . 0 b c 1 Find the values of b and c such that X = 0 is an eigenvector of A. 1 By using these values of b and c, determine all the eigenvalues of A and the eigenvectors corresponding to each of the eigenvalues. Hence find a matrix P that diagonalizes the matrix A. 2. For each matrix A below, find (a) its characteristic polynomial, (b) its eigenvalues and an eigenvectors corresponding to each eigenvalue, (c) an invertible matrix P and a diagonal matrix D such that P −1 AP = D if A is diagonalizable, (d) Ak , k ∈ Z, if A is diagonalizable, (e) A−1 by using the Cayley Hamilton theorem, if A is invertible. 1 2 3 −1 (i) A = (ii) A = 3 2 1 1 1 2 (iii) A = 2 4
3. For each matrix A below, by using the Cayley-Hamilton theorem, determine (a) Ak where k is a positive integer, (b) A5 and A4 − 2A3 + A − I2 , (c) A−1 if A is invertible. (Hint: Use Question 2) 1 2 (i) A = 3 2
1 2 (iii) A = 2 4
3 −1 (ii) A = 1 1 a 0 (iv) A = , 0 a
a 6= 0
4. Let A be an n-square matrix with an eigenvector X corresponding to the eigenvalue λ. Show that (a) for any positive integer k, the vector X is also an eigenvector of the matrix Ak corresponding to the eigenvalue λk , (b) for any non-zero integer r, the vector X is also an eigenvector of the matrix rA corresponding to the eigenvalue rλ. 5. Let A be an n-square matrix with an eigenvector X corresponding to the eigenvalue λ. If is non-singular, show that (a) λ 6= 0, (b) the vector X is also an eigenvector of the matrix A−1 corresponding to the eigenvalue λ−1 .
2/2
LA-Tut7-15.pdf
Loading⦠Whoops! There was a problem loading more pages. Retrying... Whoops! There was a problem previewing this document. Retrying... Download. Connect more apps... Try one of the apps below to open or edit this item. LA-Tut7-15.pdf. LA-Tut7-15.pdf. Open. Extract. Open with. Sign In. Main menu.