Problem 5. Show that the eigenvalues of a unitary matrix have unit modulus and that the corresponding eigenvectors are orthogonal. (Hint: Compare with the methodology for Hermitian matrices.) Problem 6. Riley and Hobson problem #1.12 Given matrix $A = egin{pmatrix} 1 & alpha & 0 \ eta & 1 & 0 \ 0 & 0 & 1 end{pmatrix}$ where $alpha$ and $eta$ are non-zero complex numbers, find its eigenvalues and eigenvectors. Find the respective conditions for (a) the eigenvalues to be real (b) the eigenvectors to be orthogonal. (c) Show that the conditions are jointly satisfied if and only if A is Hermitian.
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A matrix \( U \) is unitary if \( U^\dagger U = I \), where \( U^\dagger \) is the conjugate transpose of \( U \) and \( I \) is the identity matrix. Show more…
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Verify that the eigenvalues of the Hermitian matrix $A$ are real and that eigenvectors from different eigenspaces are orthogonal (see Theorem 7.5 .2 ). $$A=\left[\begin{array}{cc} 0 & 2 i \\ -2 i & 2 \end{array}\right]$$
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It can be shown that a Hermitian matrix (see Chapter 3, Section 9) ean be diagonalized by a unitary similarity transformation (see quantum mechanics or linear algebra books). This is the complex analogue of diagonalizing a symmetric matrix by an orthogonal transformation. Verify that the matrices in Problems 35 and 36 are Hermitian. Find the eigenvalues (they are real) and \mathrm{\{} e i g e n v e c t o r s ~ ( c o m p l e x ) . ~ T h e ~ s q u a r e ~ o f ~ t h e ~ l e n g t h ~ ( o r ~ n o r m ) ~ o f ~ a ~ v e c t o r ~ w i t h ~ c o m p l e x ~ c o m p o n e n t s ~ is defined as the dot product of the vector and its complex conjugate. Thus find the unit cigenvectors and construct the diagonalizing matrix (like $C$ in Section 4). Verify that it is unitary.$\left(\begin{array}{cc}3 & 1-1 \\ 1+i & 2\end{array}\right)$
COORDINATE TRANSFORMATIONS; TENSOR ANALYSIS
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