6.8E: Exercises for Section 6.8

Linear Algebra: A First Course · LibreTexts

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    6.8E: Exercises for Section 6.8
    Exercise \(\PageIndex{1}\)

    Let \(A = \begin{bmatrix} 3 & 1 \\ -1 & 3 \end{bmatrix}\). Find the Singular Value Decomposition (SVD) of \( A \).

    Answer

    \(
    U = \begin{bmatrix} \frac{1}{\sqrt{10}} & \frac{3}{\sqrt{10}} \\ \frac{3}{\sqrt{10}} & -\frac{1}{\sqrt{10}} \end{bmatrix}, \quad
    \Sigma = \begin{bmatrix} \sqrt{10} & 0 \\ 0 & \sqrt{10} \end{bmatrix}, \quad
    V = \begin{bmatrix} 0 & 1 \\ 1 & 0 \end{bmatrix}
    \)

    Exercise \(\PageIndex{2}\)

    Let \(A=\left[\begin{array}{rrr} 4 & 0 \\ 3 &-5 \end{array}\right]\). Find the Singular Value Decomposition (SVD) of \(A\).

    Exercise \(\PageIndex{3}\)

    Let \( A = \begin{bmatrix} 3 & 1 & 1 \\ -1 & 3 & 1 \end{bmatrix}\). Find the Singular Value Decomposition (SVD) of \( A \).

    Answer

    \(U = \begin{bmatrix}
    \frac{1}{\sqrt{2}} & -\frac{1}{\sqrt{2}} \\
    \frac{1}{\sqrt{2}} & \frac{1}{\sqrt{2}}
    \end{bmatrix}, \quad
    \Sigma = \begin{bmatrix}
    2\sqrt{3} & 0 & 0 \\
    0 & \sqrt{10} & 0
    \end{bmatrix}, \quad
    V^T = \begin{bmatrix}
    \frac{1}{\sqrt{6}} & -\frac{2}{\sqrt{5}} & -\frac{1}{\sqrt{30}} \\
    \sqrt{\frac{2}{5}} & \frac{1}{\sqrt{5}} & -\sqrt{\frac{2}{5}} \\
    \frac{1}{\sqrt{6}} & 0 & \sqrt{\frac{5}{6}}
    \end{bmatrix}\)

    Exercise \(\PageIndex{4}\)

    Let \(A=\left[\begin{array}{rrr} 2 & -2 & 1 \\ 4 & -8 &-8 \end{array}\right]\). Find the Singular Value Decomposition (SVD) of \(A\).

    Exercise \(\PageIndex{5}\)

    Let \(A\) be an \(n\times n\) matrix with rank n. Show the absolute value of det(A) equals the product of its singular values.


    This page titled 6.8E: Exercises for Section 6.8 was last modified on Thu, 10 Apr 2025 05:36:09 GMT and is shared under a CC BY 4.0 license and was authored, remixed, and/or curated by Doli Bambhania, Fatemeh Yarahmadi, and Bill Wilson.