Chapter 5: Problem 7
Write out the matrix \(A^{\mathrm{H}}\) and compute \(C=A^{\mathrm{H}} A\) if $$ A=\left[\begin{array}{lll} 1 & i & 0 \\ i & 0 & 1 \end{array}\right] $$ What is the relation between \(C\) and \(C^{\mathrm{H}}\) ? Does it hold whenever \(C\) is constructed from some \(A^{\mathrm{H}} \mathrm{A}\) ?
Short Answer
Step by step solution
Understand Hermitian Transpose
Compute A's Transpose
Take Complex Conjugate
Compute Product A^{H}A
Check Relation with C^{H}
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Key Concepts
These are the key concepts you need to understand to accurately answer the question.
Hermitian transpose
- First, find the transpose of the matrix. This involves swapping rows and columns.
- Next, take the complex conjugate of each element. For real numbers, this step is trivial as the complex conjugate is the number itself.
complex conjugate
- For instance, the complex conjugate of \(i\) is \(-i\).
- Similarly, the complex conjugate of \(1 + 2i\) is \(1 - 2i\).
matrix multiplication
- To compute an element at the \(i^{th}\) row and \(j^{th}\) column in the result, multiply each element of the \(i^{th}\) row of the first matrix by the corresponding element of the \(j^{th}\) column of the second matrix, then sum these products.
- For \[ C = A^{\mathrm{H}} A\]you follow this principle. Compute each element separately using row and columns from respective matrices.
transpose
- For example, a matrix\[ A = \begin{bmatrix} a & b \ c & d \end{bmatrix}\] would have a transpose\[ A^T = \begin{bmatrix} a & c \ b & d \end{bmatrix}.\]
- This can transform a row vector into a column vector and vice versa.