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286    CHAPTER 9  Eigenvalues, Diagonalization, and Special Matrices


                           THEOREM 9.9

                                 An n × n real symmetric matrix with distinct eigenvalues can be diagonalized by an orthogonal
                                 matrix.


                         EXAMPLE 9.13
                                 Let
                                                                 ⎛           ⎞
                                                                    3   0  −2
                                                              S = ⎝ 0   2  0 ⎠ .
                                                                   −20     0
                                 This real, symmetric matrix has eigenvalues 2,−1,4, with corresponding eigenvectors
                                                             ⎛ ⎞ ⎛ ⎞       ⎛   ⎞
                                                              0     1        2
                                                                 ,     and       .
                                                             ⎝ 1 ⎠ ⎝ 0 ⎠   ⎝ 0 ⎠
                                                              0     2       −1
                                 The matrix having these eigenvectors as columns will diagonalize S, but is not an orthogonal
                                 matrix because these eigenvectors do not all have length 1. Normalize the second and third eigen-
                                 vectors by dividing them by their lengths, and then use these unit eigenvectors as columns of an
                                 orthogonal matrix Q:
                                                                     √
                                                               ⎛             √ ⎞
                                                                01/ 5      2/ 5
                                                           Q = 1     0       0  ⎠ .
                                                               ⎝
                                                                     √       √
                                                                02/ 5     −1/ 5
                                 This orthogonal matrix also diagonalizes S.
                                 9.3.2 Unitary Matrices
                                 We will use the following fact. If W is any matrix, then the operations of taking the transpose
                                 and the complex conjugate can be performed in either order:
                                                                           t
                                                                 (W ) = (W) .
                                                                    t
                                 This is verified by a routine calculation.
                                    It is also straightforward to verify that the operations of taking a matrix inverse, and of taking
                                 its complex conjugate, can be performed in either order.
                                    Now let U be an n × n matrix with complex elements.



                                   We say that U is unitary if the inverse is the conjugate of the transpose (which is the same
                                   as the transpose of the conjugate):
                                                                          t
                                                                    −1
                                                                   U = U .
                                   This means that
                                                                          t
                                                                  t
                                                               (U) U = U(U) = I n .



                         EXAMPLE 9.14
                                                                    √
                                                                            √
                                                                   i/ 2   1/ 2
                                                             U =     √      √   .
                                                                  −i/ 21/ 2
                                 It is routine to check that U is unitary.


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                                   October 14, 2010  14:49  THM/NEIL   Page-286        27410_09_ch09_p267-294
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