[8 Find the singular values 0₁ ≥ 02 ≥ 03 of A = 1 σ1 02 03 || || || 0 0 - 3¹]. 8

Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
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**Problem Statement:**

Find the singular values \( \sigma_1 \geq \sigma_2 \geq \sigma_3 \) of the matrix \( A \) given by:

\[ A = \begin{bmatrix} 8 & 0 & -1 \\ 1 & 0 & 8 \end{bmatrix}. \]

**Singular Values:**

- \( \sigma_1 = \) [Textbox for answer]
- \( \sigma_2 = \) [Textbox for answer]
- \( \sigma_3 = \) [Textbox for answer]

**Explanation:**

To find the singular values of a matrix, we calculate the square roots of the eigenvalues of the matrix \( A^T A \). Here, \( A^T \) denotes the transpose of the matrix \( A \). Singular values are always non-negative and are usually arranged in descending order.
Transcribed Image Text:**Problem Statement:** Find the singular values \( \sigma_1 \geq \sigma_2 \geq \sigma_3 \) of the matrix \( A \) given by: \[ A = \begin{bmatrix} 8 & 0 & -1 \\ 1 & 0 & 8 \end{bmatrix}. \] **Singular Values:** - \( \sigma_1 = \) [Textbox for answer] - \( \sigma_2 = \) [Textbox for answer] - \( \sigma_3 = \) [Textbox for answer] **Explanation:** To find the singular values of a matrix, we calculate the square roots of the eigenvalues of the matrix \( A^T A \). Here, \( A^T \) denotes the transpose of the matrix \( A \). Singular values are always non-negative and are usually arranged in descending order.
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