Linear Algebra - Finding the matrix for the transformation

In summary, the matrix for the given transformation is \begin{bmatrix}a & b \\ c & d \end{bmatrix} = \begin{bmatrix} -2 & 0 \\ \frac{\sqrt{3}}{4} & \frac{3}{4} \end{bmatrix}
  • #1
yesiammanu
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Homework Statement


Find the matrix for the transformation which first reflects across the main diagnonal, then projects onto the line 2y+√3x=0, and then reflects about the line √3y=2x


Homework Equations


Reflection about the line y=x: T(x,y)=(y,x)
Orthogonal projection on the x-axis T(x,y)=(x,0)
Orthogonal projection on the y-axis T(x,y)=(0,y)

The Attempt at a Solution


Reflection about the line y=x: T(x,y)=(y,x), so the standard matrix for this would be the matrix {(0,1),(1,0)}

However I'm not sure how to deal with equations rather than axis. I assume in the second projection, you can simplify it to y=√3/2 x. Can you then separate these into a scalar operation (√3/2) and orthogonal operation (y=x)? Even so, I wouldn't know how to go further than this since I only know how to do it among the axis
 
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  • #2
Any vector that lies along the line [itex]2y+ \sqrt{3}x= 0[/itex] is mapped to itself while any vector perpendicular to that is mapped to 0. One vector along that line is [itex](-2, \sqrt{3})[/itex] and, of course, [itex](\sqrt{3}, 2)[/itex] is perpendicular to it. So
[tex]\begin{bmatrix}a & b \\ c & d \end{bmatrix}\begin{bmatrix} -2 \\ \sqrt{3} \end{bmatrix}= \begin{bmatrix} -2 \\ \sqrt{3} \end{bmatrix}[/tex]
and
[tex]\begin{bmatrix}a & b \\ c & d \end{bmatrix}\begin{bmatrix}\sqrt{3} \\ 2 \end{bmatrix}= \begin{bmatrix} 0 \\ 0 \end{bmatrix}[/tex]
Those give you four equations to solve for a, b, c, and d.
 
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FAQ: Linear Algebra - Finding the matrix for the transformation

What is linear algebra?

Linear algebra is a branch of mathematics that deals with the study of linear equations and their representations in vector spaces. It involves the use of matrices, vectors, and linear transformations to solve problems in areas such as engineering, physics, and computer graphics.

What is a transformation matrix?

A transformation matrix is a mathematical representation of a linear transformation. It is a square matrix that describes how a set of input values are mapped to a set of output values. It is used to perform operations such as rotations, translations, and reflections in vector spaces.

How do you find the matrix for a linear transformation?

To find the matrix for a linear transformation, you need to determine the images of the basis vectors under the transformation. These images will form the columns of the transformation matrix. The matrix can then be used to transform other vectors by multiplying them with the transformation matrix.

What is the importance of finding the matrix for a linear transformation?

Finding the matrix for a linear transformation is important because it allows for efficient representation and computation of the transformation. It also allows for the combination of multiple transformations, as the matrices can be multiplied together to perform the composite transformation.

What are some real-world applications of linear algebra and transformation matrices?

Linear algebra and transformation matrices have many real-world applications, such as in computer graphics, machine learning, and robotics. They are used to model and manipulate 3D objects, perform image and signal processing, and analyze large datasets in fields such as data science and finance.

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