** Problem 3.23 Consider the following Hermitian matrix: 2 i 1 T = -i 2 i 1 -i 2 (a) Calculate det(T) and Tr(T). (b) Find the eigenvalues of T. Check that their sum and product are consistent with (a), in the sense of Equation 3.82. Write down the diagonalized version of T. (c) Find the eigenvectors of T. Within the degenerate sector, construct two linearly independent eigenvectors (it is this step that is always possible for a Hermitian matrix, but not for an arbitrary matrix-contrast Problem 3.18). Orthogonalize them, and check that both are orthogonal to the third. Normalize all three eigenvectors.

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**Problem 3.23 Consider the following Hermitian matrix:
2
i
1
T =
-i
i
1
-i
2
(a) Calculate det(T) and Tr(T).
(b) Find the eigenvalues of T. Check that their sum and product are consistent with
(a), in the sense of Equation 3.82. Write down the diagonalized version of T.
(c) Find the eigenvectors of T. Within the degenerate sector, construct two linearly
independent eigenvectors (it is this step that is always possible for a Hermitian
matrix, but not for an arbitrary matrix-contrast Problem 3.18). Orthogonalize
them, and check that both are orthogonal to the third. Normalize all three
eigenvectors.
(d) Construct the unitary matrix S that diagonalizes T, and show explicitly that the
similarity transformation using S reduces T to the appropriate diagonal form.
Transcribed Image Text:**Problem 3.23 Consider the following Hermitian matrix: 2 i 1 T = -i i 1 -i 2 (a) Calculate det(T) and Tr(T). (b) Find the eigenvalues of T. Check that their sum and product are consistent with (a), in the sense of Equation 3.82. Write down the diagonalized version of T. (c) Find the eigenvectors of T. Within the degenerate sector, construct two linearly independent eigenvectors (it is this step that is always possible for a Hermitian matrix, but not for an arbitrary matrix-contrast Problem 3.18). Orthogonalize them, and check that both are orthogonal to the third. Normalize all three eigenvectors. (d) Construct the unitary matrix S that diagonalizes T, and show explicitly that the similarity transformation using S reduces T to the appropriate diagonal form.
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