Math Problem Statement

Find the matrix A of the linear transformation TA: R2 → R2 that maps the green image P to the yellow image Q.

Solution

To solve the problem of finding the matrix AA for the linear transformation TA:R2R2T_A: \mathbb{R}^2 \to \mathbb{R}^2 that maps the yellow figure QQ to the green figure PP, we need to follow these steps:

  1. Understand the transformation: Each point in QQ is transformed into a corresponding point in PP. These transformations define the action of the matrix AA.

  2. Choose basis points in QQ: Identify two independent basis vectors in QQ. A common choice is (1,0)(1, 0) and (0,1)(0, 1), which can be observed directly or adjusted if QQ's grid is mapped unusually.

  3. Map these points to PP: Identify where these basis points from QQ are mapped in PP. Their images will define the columns of AA.

  4. Construct the matrix AA: The images of (1,0)(1, 0) and (0,1)(0, 1) under the transformation will form the first and second columns of AA, respectively.

Let me calculate this for your specific diagram.

Steps:

  • The yellow figure QQ includes key vertices. For example, take the vertex at (6,2)(-6, 2) and map it to its corresponding vertex in PP (green).
  • Similarly, repeat for other corresponding vertices.

Once I extract these pairs of points, I will compute AA. Let me process this visually from your image to extract coordinates. PIL import Image

Load the uploaded image to visually process it further.

image_path = "/mnt/data/17333417842161nu4my5e.jpg" img = Image.open(image_path) img.show()I have opened the image for visual analysis. Based on the alignment of QQ and PP, I will now extract the basis points' transformations to determine the matrix AA. Let me confirm the coordinates of key points for accurate mapping.From observing the image:

  1. The yellow shape QQ and the green shape PP provide clear corresponding points for the transformation. Let's choose basis points for QQ:

    • Basis vector 1: e1=(1,0)\mathbf{e}_1 = (1, 0), located at (6,2)(-6, 2) in QQ.
    • Basis vector 2: e2=(0,1)\mathbf{e}_2 = (0, 1), located at (4,2)(-4, 2) in QQ.
  2. Mapping to PP:

    • e1\mathbf{e}_1 maps to (2,3)(2, 3) in PP.
    • e2\mathbf{e}_2 maps to (2,4)(2, 4) in PP.
  3. The matrix AA columns are formed by these mappings:

    • First column: A(1,0)=(2,3)A \cdot (1, 0) = (2, 3).
    • Second column: A(0,1)=(2,4)A \cdot (0, 1) = (2, 4).

Thus, the matrix AA is: A=[2234]A = \begin{bmatrix} 2 & 2 \\ 3 & 4 \end{bmatrix}

Would you like me to explain this process further or assist with any related questions?

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Math Problem Analysis

Mathematical Concepts

Linear Algebra
Linear Transformations
Matrix Representations

Formulas

Matrix A = [T(e1) T(e2)], where e1 = (1, 0) and e2 = (0, 1)
Linear transformation formula: T(x) = Ax

Theorems

Linear Transformation Mapping
Basis Vector Mapping

Suitable Grade Level

Undergraduate (First-Year Linear Algebra)