Find the linear transformation matrix

In summary, the conversation discusses how to find the matrix for a linear transformation that maps two given points to two other given points. The steps to solve this are to first write out the matrix using the points as base vectors, and then take the inverse since the mapping is in the opposite direction. If the points do not map to the base vectors, the common steps involve using the points as variables and finding the inverse of the resulting matrix.
  • #1
discy
15
0

Homework Statement


Suppose that a linear transformation maps a point (2,3) to (0,1) and maps a point (9,7) to (1,0). Find the matrix for this linear transformation.

2. Solution (answersheet)
Observe that the two point that are the result of the mapping are the two base vectors.
If our information would be that (0,1) were mapped to (2,3) and that (1,0) were mapped to (9,7), then the matrix would be easy to write down.
|9, 2|
|7, 3|
But we are in the opposite direction! so the answer is the inverted matrix.

3. My question
How would this question be solved if the points wouldn't map to the base vectors? I.o.w. what are the common steps to solve this, that are skipped here? If possible. The only way I know is with homogeneous coordinates, but I couldn't get it to work with this exercise.
 
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  • #2
Thanks in advance. A:To answer your question, assume that the linear transformation maps the two points $(x_1,y_1)$ to $(a_1,b_1)$ and $(x_2,y_2)$ to $(a_2,b_2)$. Then the matrix for this transformation is$$A=\begin{bmatrix} a_1 & a_2 \\b_1 & b_2\end{bmatrix}\begin{bmatrix} x_1 & x_2 \\y_1 & y_2\end{bmatrix}^{-1}$$where the inverse of the second matrix is given by$$\begin{bmatrix} x_1 & x_2 \\y_1 & y_2\end{bmatrix}^{-1}=\frac{1}{x_1y_2-x_2y_1}\begin{bmatrix} y_2 & -x_2 \\-y_1 & x_1\end{bmatrix}.$$In your example, the two points are $(2,3)$ and $(9,7)$, which map to $(0,1)$ and $(1,0)$. Therefore the matrix of the linear transformation is$$A=\begin{bmatrix} 0 & 1 \\1 & 0\end{bmatrix}\begin{bmatrix} 2 & 9 \\3 & 7\end{bmatrix}^{-1}=\frac{1}{15}\begin{bmatrix} 7 & -9 \\-3 & 2\end{bmatrix}.$$
 

What is a linear transformation matrix?

A linear transformation matrix is a mathematical representation of how a vector or set of coordinates is transformed or mapped to a different vector or set of coordinates in a linear manner. It is commonly used in fields such as mathematics, physics, and computer science.

Why is finding the linear transformation matrix important?

Finding the linear transformation matrix allows us to understand and analyze the relationship between two sets of data or coordinate systems. It also helps in solving complex mathematical problems and in creating efficient algorithms for computer programs.

How do you find the linear transformation matrix?

The linear transformation matrix can be found by using a set of equations and algebraic operations. The specific method used depends on the type of transformation being performed, such as rotation, scaling, or translation.

What are the properties of a linear transformation matrix?

A linear transformation matrix must have certain properties, including being square, invertible, and preserving vector addition and scalar multiplication. It must also map the origin to itself and maintain the direction of lines and planes.

What are some applications of linear transformation matrices?

Linear transformation matrices have various applications in fields such as computer graphics, machine learning, and physics. They are used to perform geometric transformations, such as rotating and scaling images, and to represent physical quantities, such as forces and velocities, in a mathematical form.

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