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9.3 Some Special Types of Matrices 293
This transforms the given quadratic form to its standard form
5 9
2
2
2
2
λ 1 y + λ 2 y =− y + y ,
1 2 1 2
2 2
in which there are no cross product y 1 y 2 terms.
SECTION 9.3 PROBLEMS
⎛ ⎞
In each of Problems 1 through 12, find the eigenvalues 5 0 0 0
and associated eigenvectors. Check that the eigenvectors 12. ⎜ 0 0 −1 0 ⎟
⎜
⎟
associated with distinct eigenvalues are orthogonal. Find ⎝ 0 −1 0 0 ⎠
an orthogonal matrix that diagonalizes the matrix. Note 0 0 0 0
Problems 17-22, Section 9.1.
In each of Problems 13 through 21, determine whether
the matrix is unitary, hermitian, skew-hermitian, or none
4 −2 of these. Find the eigenvalues and associated eigenvec-
1.
−2 1 tors. If the matrix is diagonalizable, write a matrix that
diagonalizes it. In Problems 5 and 7, eigenvalues must be
−3 5
2. approximated, so only “approximate eigenvectors" can be
5 4
found. It is instructive to try to diagonalize a matrix using
approximate eigenvectors.
6 1
3.
1 4
0 2i
13.
−13 1 2i 4
4.
1 4
3 4i
⎛ ⎞ 14.
0 1 0 4i −5
5. ⎝ 1 −2 0 ⎠
⎛ ⎞
0 0 3 0 1 0
15. ⎝ −1 0 1 − i ⎠
0 1 1 0 −1 − i 0
⎛ ⎞
6. ⎝ 1 2 0 ⎠ √ √
⎛ ⎞
0 0 3 1/ 2 i/ 2 0
√ √
−1/ 2 i/ 2 0 ⎠
16. ⎝
5 0 2 0 0 1
⎛ ⎞
7. ⎝ 0 0 0 ⎠
2 0 0 ⎛ 3 2 0 ⎞
17. ⎝ 2 0 i ⎠
2 −4 0 0 −i 0
⎛ ⎞
8. ⎝ −4 0 0 ⎠
⎛ ⎞
0 0 0 −1 0 3 − i
18. ⎝ 0 1
⎛ ⎞ 0 ⎠
0 0 0 3 + i 0 0
9. ⎝ 1 1 −2 ⎠
⎛ ⎞
0 −2 0 i 1 0
19. ⎝ −1 0
⎛ ⎞ 2i ⎠
1 3 0 0 2i 0
10. ⎝ 3 0 1 ⎠
⎛ ⎞
0 1 1 3i 0 0
20. ⎝ −1 0
⎛ ⎞ 0 ⎠
0 0 0 0 −i 0 0
⎜ 0 1 −2 0 ⎟
⎜ ⎟
⎛ ⎞
11. ⎜ 0 −2 1 0 ⎟ 8 −1 i
⎜ ⎟
⎝ 0 −3 0 0 ⎠ 21. ⎝ −1 0 0 ⎠
0 0 0 0 −i 0 0
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October 14, 2010 14:49 THM/NEIL Page-293 27410_09_ch09_p267-294