Worksheet 1-2#
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Worksheet 1-2: Q1#
For the matrix \(A=\begin{bmatrix} 1 & -2 \\ 3 & 4 \end{bmatrix}\), find
The induced \(1\)-norm, \(\|A\|_1\).
The induced \(\infty\)-norm, \(\|A\|_\infty\).
The Frobenius norm, \(\|A\|_F\).
Worksheet 1-2: Q2#
We are going to determine the induced 2-norm for the matrix \(A=\begin{bmatrix} 1 & -2 \\ -2 & 1 \end{bmatrix}\).
Compute \(A^TA\).
Find the eigenvalues of \(A^TA\). We generally sort these in decreasing order so that \(\lambda_1 \geq \lambda_2\).
Find the singular values of \(A\).
Compute the induced 2-norm of \(A\).
Worksheet 1-2: Q3#
Show that for \(A \in \mathbb{R}^{m \times n}\), if \(\lambda\) is a non-zero eigenvalue of \(A^TA\) with eigenvector \(v\), then \(\lambda\) is a non-zero eigenvalue of \(AA^T\) with eigenvector \(Av\).
Use the previous statement to show that for \(A \in \mathbb{R}^{m \times n}\), \(\|A\| = \|A^T\|\) for the spectral norm (AKA induced 2-norm).
Show that \(\|A\|_F^2 = \sum_{i=1}^n \lambda_i(A^TA)\). (Hint: Consider the trace of \(A^TA\).)