(a) Matlab Code: A = [4 5 -1 3 7;5 0 2 1 2;-1 2 9 -4 1;3 1 -4 2
0;7 2 1 0 10]
[V1,D1] = eig(A);
V = rats(V1)
D = rats(D1)
Output:
A =
4
5 -1
3 7
5
0 2
1 2
-1
2 9
-4 1
3
1 -4
2 0
7
2 1
0 10
V =
5×70 char array
'
-351/527
400/1491
-193/531
-88/677 150/259
'
'
233/341
199/487
-47/89
19/230 116/409
'
'
-29/218
-209/623
-43/155
186/209
11/392 '
'
63/514
-941/1210
-207/475
-178/429
65/483 '
'
46/193
-23/110
21/37
45/409 103/137
'
D =
5×70 char array
'
-443/101
0
0
0
0 '
'
0
-1507/1172
0
0
0 '
'
0
0
567/179
0
0 '
'
0
0
0
2015/178
0 '
'
0
0
0
0
6943/429 '
A is real diagonalizable.
(b) The eigenvalues are the diagonal entries of the matrix D say lambda_i. Let v_i denote the ith column of the matrix V, then the eigenspace corresponding to the eigenvalue, lambda_i, is spanned by v_i, since the eigenvalues are distinct.
(c) Since A is symmetric, the bilinear pairing is also symmetric. The pairing is not an inner product since A is not a positive definite matrix.
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