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Lære Challenge: Combined Transformations of a Vector | Section
Python Math Module Essentials: Trigonometry, Logarithms, and Constants - 1769704232288
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Challenge: Combined Transformations of a Vector

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You are given a 2D vector:

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

Your goal is to apply a scaling transformation followed by a 90° rotation using matrix multiplication, and visualize the results with arrows and coordinate labels from the origin.

The transformations are defined as:

  • Scaling matrix: S=[2000.5]S = \begin{bmatrix} 2 & 0 \\ 0 & 0.5 \end{bmatrix}
  • Rotation matrix (90°): R=[0110]R = \begin{bmatrix} 0 & -1 \\ 1 & 0 \end{bmatrix}

The combined transformation is applied as:

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

Your task:

  1. Define the original vector and the two matrices (S and R).
  2. Use matrix multiplication to compute:
    • The scaled vector.
    • The rotated vector.
    • The combined transformation.
  3. Plot all vectors (v, S·v, and R·(S·v)) as arrows from the origin with labeled tips and visible coordinate axes.
  4. Verify that the computed vectors match the expected results after each transformation.

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