How do I calculate the Basis for Im(T)?

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Homework Help Overview

The discussion revolves around calculating the basis for the image of a linear transformation T, specifically in the context of matrix representations. Participants express confusion regarding the definition and calculation of the image and its basis.

Discussion Character

  • Conceptual clarification, Mathematical reasoning, Problem interpretation

Approaches and Questions Raised

  • Participants explore the definition of the image of a transformation and its relation to the column space of a matrix. There are attempts to clarify the process of identifying linearly independent vectors that form a basis.

Discussion Status

Some participants have provided insights into the relationship between the transformation and its image, while others question the clarity of the original problem statement. There is an ongoing exploration of how to represent the basis correctly, with some guidance offered on distinguishing between a basis as a set of vectors versus a matrix form.

Contextual Notes

There is a noted confusion regarding the precise definition of the transformation and the nature of the vector spaces involved. Participants are encouraged to specify their context more clearly to facilitate better understanding.

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How do I calculate the Basis for Im(T)? I am having troubles finding an example that will best fir here. I know that the I=diagonal matrix with all of all of the i=j entries being 1. Beyond that I am rather confused and don't know where I need to start.
 
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Badger33 said:
How do I calculate the Basis for Im(T)? I am having troubles finding an example that will best fir here. I know that the I=diagonal matrix with all of all of the i=j entries being 1. Beyond that I am rather confused and don't know where I need to start.

This is a confusing question. If you are simply dealing with a situation where T is a matrix, the image is the column space. In other words, it is all vectors that are linearly independent in the columns.

In general, however, the image of a transformation is defined to be the set [tex]\left \{ v\in W |T(x)=v, x\in V \right \}[/tex]where V and W are vector spaces over a field. You need to be more precise as to what exactly you want.
 


So to calculate the basis for the Im(T). I would gather all the Linear Independent parts and put them into a basis?
if I got:
[1] [0]
[0] [1]
[0], [0]

then my basis would be:
[1 0]
[0 1]
[0 0]

Or am I way off on this?
 
Last edited:


From a more fundamental viewpoint, if
[tex]T= \begin{bmatrix}1 & 0 \\ 0 & 1 \\ 0 & 0\end{bmatrix}[/tex]
Then T maps [itex]R^2[/itex] to [itex]R^3[/itex]. (x, y, z) will be in the image of T if and only if there exist (a, b) such that
[tex]\begin{bmatrix}1 & 0 \\ 0 & 1 \\ 0 & 0\end{bmatrix}\begin{bmatrix}a \\ b\end{bmatrix}= \begin{bmatrix}a \\ b \\ 0\end{bmatrix}= \begin{bmatrix}x \\ y \\ z\end{bmatrix}[/tex]
which gives the equations a= x, b= y, 0= z. Since a and b could be any numbers so can x and y- but z must be 0. That is, any vector in the image of T must be of the form (x, y, 0)= (x, 0, 0)+ (0, y, 0)= x(1, 0, 0)+ y(0, 1, 0). Yes, the image is two-dimensional and a basis is the set of vectors {(1, 0, 0), (0, 1, 0)}, the columns of the matrix you show. However, it is important to remember that a basis is a set of vectors, not a matrix. Even though you used a matrix to calculate it, you should show the basis as a set of vectors, not as a matrix.
 

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