Linear algebra and column spaces

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Homework Help Overview

The discussion revolves around a linear transformation T associated with a matrix A, specifically focusing on finding the image of T, which is represented by the column space of A. The original poster introduces a vector B and explores how to determine if it belongs to the image of T.

Discussion Character

  • Exploratory, Assumption checking

Approaches and Questions Raised

  • The original poster attempts to find the image of T by considering the augmented matrix (A|B) and questions whether setting this matrix equal to zero would help in finding the image. Some participants clarify that this approach may lead to the kernel of T instead. There is also a discussion about the validity of using the columns of A to identify vectors in the image of T.

Discussion Status

The discussion is ongoing, with participants exploring different interpretations of how to incorporate vector B into the image of T. Some guidance has been provided regarding the implications of adding B to the transformation and the nature of the new transformation T' that would result from this addition.

Contextual Notes

There is a mention of a potential misunderstanding regarding the relationship between the image of T and the introduction of vector B, as well as the dimensionality of the new transformation being considered.

Niles
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Homework Statement


I have a linear transformation T which is associated with a matrix A. I want to find the image of T, which is given by the column space of A. I have done this.

Now I have a vector B = (x,y,z,w)^T, and I want the vector B to be part of the image of T. To do this, I write the matrix P, which is given by (A|B). Do I just set this matrix equal zero and solve it to find the image of T, wherein the matrix B is?
 
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That sounds to me like you would be solving the equation AB= 0- which would give the kernel of T, not its image.

I'm not clear on what your question is. you say you have already found the image of T, now you want to find a vector B in the image of T? Any one of the columns of A corresponds to a vector that is in the image of T.
 
I want to find the image of T, where the columnvector B is part of the image of T.

What I do is that I write (A|B), bring to rref and find the columnspace from that. What I wrote in my original post was a mistake. But from what you wrote ("Any one of the columns of A corresponds to a vector that is in the image of T"), I guess my method will work?
 
Niles said:
I want to find the image of T, where the columnvector B is part of the image of T.

What I do is that I write (A|B), bring to rref and find the columnspace from that. What I wrote in my original post was a mistake. But from what you wrote ("Any one of the columns of A corresponds to a vector that is in the image of T"), I guess my method will work?

It will work if you realize what you are doing. You are adding B to the image by defining a new linear transformation T' corresponding to the matrix (A|B) with domain in a space one dimension higher than T. You can't 'add' anything to the range of T itself. Is that what you want to do?
 
Yes, that is exactly what I want to do. Your explanation cleared it for me - thanks, and congratulations with your award.
 
Thanks! And you're welcome!
 

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