Finding the Standard Matrix Representation for T1T2: A Non-Standard Product?

In summary, T1T2 is a matrix that describes the relationship between two vectors. T1 is the first vector, and T2 is the second vector.
  • #1
DanielFaraday
87
0

Homework Statement



This is a slight variation of the last problem I posted.

Write the standard matrix representation for T1T2 and use it to find [T1T2(1,-3,0)]E.

Homework Equations



[tex]
T_1\left(x_1,x_2,x_3\right)=\left(x_3,-x_1,x_3\right)
[/tex]

[tex]
T_2\left(x_1,x_2,x_3\right)=\left(x_3-x_1,x_3-2x_2-x_1,x_1-x_3\right)
[/tex]

The Attempt at a Solution



[tex]
T_1T_2=\left(x_3,-x_1,x_3\right)\cdot \left(x_3-x_1,x_3-2x_2-x_1,x_1-x_3\right)=x_1^2+2 x_1 x_2-x_1 x_3
[/tex]

[tex]
A=\left(x_1^2+2 x_1 x_2-x_1 x_3\right)\left(
\begin{array}{ccc}
1 & 0 & 0 \\
0 & 1 & 0 \\
0 & 0 & 1
\end{array}
\right)
[/tex]

Will A just end up being an identity matrix multiplied by the scalar that results from T1T2, or should I use a non-standard product for T1T2?
 
Last edited:
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  • #2
You have it all wrong. T1*T2(x) means T1(T2(x)). That's nothing like T1(x)*T2(x) whatever that means. Find the matrices corresponding to T1 and T2 and multiply them.
 
  • #3
Is this right, then?

[tex]
A=\left(
\begin{array}{ccc}
0 & 0 & 1 \\
-1 & 0 & 0 \\
0 & 0 & 1
\end{array}
\right)\cdot \left(
\begin{array}{ccc}
-1 & 0 & 1 \\
-1 & -2 & 1 \\
1 & 0 & -1
\end{array}
\right)=\left(
\begin{array}{ccc}
1 & 0 & -1 \\
1 & 0 & -1 \\
1 & 0 & -1
\end{array}
\right)
[/tex]
 
  • #4
DanielFaraday said:
Is this right, then?

[tex]
A=\left(
\begin{array}{ccc}
0 & 0 & 1 \\
-1 & 0 & 0 \\
0 & 0 & 1
\end{array}
\right)\cdot \left(
\begin{array}{ccc}
-1 & 0 & 1 \\
-1 & -2 & 1 \\
1 & 0 & -1
\end{array}
\right)=\left(
\begin{array}{ccc}
1 & 0 & -1 \\
1 & 0 & -1 \\
1 & 0 & -1
\end{array}
\right)
[/tex]

Almost. But why are there two 1's in the third column of the first matrix?
 
  • #5
Thanks!

There are two 1's in the third column of the first matrix because there is an x3 in the first and last element of T1 (is that the right terminology?)
 
  • #6
DanielFaraday said:
Thanks!

There are two 1's in the third column of the first matrix because there is an x3 in the first and last element of T1 (is that the right terminology?)

You were right. My mistake.
 
  • #7
I made a mistake with that same transformation on another thread. There's something about that transformation... it's pretty sneaky
 
  • #8
Must be us. DanielFaraday didn't have a problem.
 

What is a linear transformation?

A linear transformation is a mathematical function that maps vectors from one vector space to another, while preserving the underlying algebraic structure.

What is the purpose of "Another Linear Transformation"?

The purpose of "Another Linear Transformation" is to provide a specific example or instance of a linear transformation that differs from other known linear transformations, in order to better understand the concept and its applications.

How is "Another Linear Transformation" different from other linear transformations?

"Another Linear Transformation" may differ from other linear transformations in terms of the specific input and output spaces, the matrix representation, or the properties and behaviors of the transformation itself.

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Linear transformations have a wide range of applications in fields such as physics, engineering, economics, and computer graphics. Some examples include modeling physical systems, optimizing resource allocation, and creating 3D graphics for video games and special effects.

What are the key properties of a linear transformation?

The key properties of a linear transformation include preserving vector addition and scalar multiplication, maintaining the origin as a fixed point, and having a unique matrix representation. Additionally, linear transformations can be composed and inverted, and can be represented using matrices and linear systems of equations.

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