Linear Algebra: Matrix Transformations

In summary, the problem is to find two different vectors u and v such that the matrix transformation f(u) = f(v) = w, where w is a given vector and f is a transformation defined by the matrix A. This can be done by solving a system of linear equations using the given matrix A and vector w. The notation R2 represents the set of pairs of real numbers and R3 represents the set of trios of real numbers. These sets have a defined vector addition and scalar multiplication.
  • #1
skylit
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Homework Statement


Some matrix transformations [itex] f [/itex] have the property that [itex] f(u) = f(v), when u ≠v [/itex]. That is, the images of different vectors can be the same. For each of the following matrix transformations [itex] f : R^{2} → R^{2} [/itex] defined by [itex]f(u) = Au [/itex], find two different vectors [itex] u [/itex] and [itex] v[/itex] such that [itex] f(u)=f(v)=w[/itex] for the given vector [itex] w[/itex].

A = [tex]
\begin{pmatrix}
1 & 2 & 0\\
0 & 1 & -1\\
\end{pmatrix}
[/tex]
w=
[tex]
\begin{pmatrix}
0\\
-1\\
\end{pmatrix}
[/tex]

Homework Equations



My professor noted that there was a typo in the book, and that instead of [itex] f : R^{2} → R^{2} [/itex], it should be [itex] f : R^{3} → R^{2} [/itex].

The Attempt at a Solution



My professor has been on jury duty for the past week, and our sub just assigns us homework without much instruction or guidance. We haven't been properly introduced to the notation [itex] R[/itex], either.

But from inferring from the problem, is it safe to assume that [itex] w = Au [/itex]?
Also, would I have to use something along the lines of
u = [tex]
\begin{pmatrix}
x\\
y\\
z\\
\end{pmatrix}
[/tex] ?

Detailed instruction would be much appreciated, as I am anxious to grasp the subject matter.
 
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  • #2
yes w = Au means that the (column) vector w is equal to the matrix product of the matrix A and the (column) vector u.

so if u = (x,y,z)T, then Au = (x+2y,y-z)T

so you need to find 2 different triples: u1 = (x1,y1,z1)T, u2 = (x2,y2,z2)T, such that:

Au1 = Au2 = w = (0,-1)T.

one way to do this, is to solve the linear system of equations:

x + 2y = 0
y - z = -1

if you do this correctly, you should wind up with a "free variable". two different choices for this free variable will give you two different u1, u2.

(as for the "R" notation, R2 means simply the set of pairs of real numbers, and R3 is the set of trios (triples) of real numbers. these are given a notion of vector addition by "adding coordinate-by-coordinate" and a notion of scalar multiplication by "scaling each coordinate by a real number" that is, multiplying each coordinate by the same real number).
 

1. What is a matrix transformation?

A matrix transformation, also known as a linear transformation, is a mathematical operation that maps one set of coordinate points to another set of coordinate points using a matrix. This transformation is used to change the size, shape, or orientation of a geometric object.

2. How do you perform a matrix transformation?

To perform a matrix transformation, you multiply the original coordinates of the object by a matrix, which will result in the new coordinates of the transformed object. The matrix used for the transformation can include scaling, rotating, shearing, or reflecting operations.

3. What is the difference between a matrix transformation and a matrix multiplication?

A matrix transformation is a geometric operation that changes the position of a geometric object, whereas matrix multiplication is a mathematical operation that combines two or more matrices to produce a new matrix. Matrix multiplication can be used to perform a matrix transformation, but not all matrix multiplication operations involve transformations.

4. What is a homogeneous coordinate system?

A homogeneous coordinate system is a method used to represent points in space with an additional coordinate called the homogeneous coordinate. This coordinate allows for translation operations to be easily represented with matrix transformations, making it useful in computer graphics and computer vision applications.

5. How is linear algebra used in real-world applications?

Linear algebra and matrix transformations are used in a variety of real-world applications, such as computer graphics, machine learning, image processing, and robotics. They are also used in engineering and physics to model and solve complex systems and equations. Linear algebra provides a powerful tool for representing and manipulating data in a variety of fields.

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