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Apprendre Challenge: Combined Transformations of a Vector | Linear Algebra Foundations
Mathematics for Data Science

bookChallenge: Combined Transformations of a Vector

Apply a scaling transformation and a 90° rotation to a 2D vector using Python and matrix multiplication. Visualize the result with arrows and coordinate labels from the origin.

You're working with a vector:

v=[23]\vec{v} = \begin{bmatrix}2 \\ 3\end{bmatrix}

You will:

  1. Apply a scaling matrix:

    S=[2000.5]S = \begin{bmatrix}2 & 0 \\ 0 & 0.5\end{bmatrix}
  2. Apply a rotation matrix:

    R=[23]R = \begin{bmatrix}2 \\ 3\end{bmatrix}
  3. Combine them as:

R(Sv)R \cdot (S \cdot \vec{v})

This simulates what happens when a vector is first scaled and then rotated.

Tâche

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  1. Complete the Python code below to:

    • Define the original vector;

    • Apply the scaling and rotation matrices;

    • Plot all vectors with labeled tips and coordinate axes;

  2. Verify that the output vectors are correct.

Solution

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Section 4. Chapitre 7
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bookChallenge: Combined Transformations of a Vector

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Apply a scaling transformation and a 90° rotation to a 2D vector using Python and matrix multiplication. Visualize the result with arrows and coordinate labels from the origin.

You're working with a vector:

v=[23]\vec{v} = \begin{bmatrix}2 \\ 3\end{bmatrix}

You will:

  1. Apply a scaling matrix:

    S=[2000.5]S = \begin{bmatrix}2 & 0 \\ 0 & 0.5\end{bmatrix}
  2. Apply a rotation matrix:

    R=[23]R = \begin{bmatrix}2 \\ 3\end{bmatrix}
  3. Combine them as:

R(Sv)R \cdot (S \cdot \vec{v})

This simulates what happens when a vector is first scaled and then rotated.

Tâche

Swipe to start coding

  1. Complete the Python code below to:

    • Define the original vector;

    • Apply the scaling and rotation matrices;

    • Plot all vectors with labeled tips and coordinate axes;

  2. Verify that the output vectors are correct.

Solution

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Completion rate improved to 1.89
Section 4. Chapitre 7
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