Linear Transformation Homework: [T]BC, [v]B, and T(v) Explained

It's the result of applying T to v.In summary, [T]_{BC} is the matrix representation of T on the vectors in B, in terms of the basis vectors in C. [v]B is the representation of v in terms of the basis B. T(v) is the result of applying T to v. The first column of [T]_{BC} is (1/3, 1) (written as a column vector).
  • #1
Maxwhale
35
0

Homework Statement



T: R3 --> R2 by T(x,y,z) = (z-x , 2y -x)
v = (2, -1, -3)
B = {(0,0,1),(0,1,1),(1,1,1,)}
C = {(1,-1), (2,1)}

What is [T]BC
what is [v]B
and what is T(v)

Homework Equations



No clue

The Attempt at a Solution



I found out [T]B and that's where i am stuck.
 
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  • #2
I'm pretty sure that [tex][T]_{BC}[/tex] is the matrix representation of T on the vectors in B, in terms of the basis vectors in C.

For example, T(b1) = T(0,0,1) = (1,0)
In terms of the basis in C, this is 1/3 (1, -1) + 1(2,1)

So the first column of [tex][T]_{BC}[/tex] is (1/3, 1) (written as a column vector).
You need to do this for the other two vectors in B.

[tex]v_B[/tex] is the representation of v in terms of the basis B.
T(v) is pretty straightforward.
 

1. What is a linear transformation?

A linear transformation is a mathematical function that maps one vector space to another in a way that preserves the basic structure of the original space. In other words, it transforms one set of coordinates to another set of coordinates in a linear fashion.

2. What does [T]BC mean in the context of linear transformations?

[T]BC represents the matrix that represents the linear transformation T with respect to the bases B and C. In other words, it is the matrix that shows how the coordinates of vectors change when transformed from the original basis B to the new basis C.

3. What is the significance of [v]B in linear transformations?

[v]B represents the coordinates of a vector v with respect to the basis B. This allows us to represent vectors in different bases and understand how they change when transformed by a linear transformation.

4. How do you calculate T(v) in linear transformations?

To calculate T(v), you first represent v in the basis B. Then you apply the linear transformation T to the coordinates of v in B to get the new coordinates in the basis C. Finally, you represent these new coordinates in the basis C to get T(v) in the form [T(v)]C.

5. What is the purpose of studying linear transformations?

Linear transformations are fundamental to understanding and solving problems in many areas of mathematics, science, and engineering. They are used to represent and analyze systems that can be modeled as linear relationships, such as in physics, economics, and statistics. They also have many applications in computer graphics, machine learning, and data analysis.

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