Matrix of. Linear operator question

Click For Summary

Homework Help Overview

The discussion revolves around determining the matrix representation of a linear operator T that maps from a space of 2x2 matrices to another space of 2x2 matrices, specifically in the context of abstract algebra. The original poster is referencing a problem from Artin's book on abstract algebra.

Discussion Character

  • Exploratory, Conceptual clarification, Mathematical reasoning

Approaches and Questions Raised

  • Participants are exploring the domain and codomain of the linear mapping T, questioning the images of standard basis elements under T, and discussing the method to find the matrix representation by applying T to basis vectors.

Discussion Status

The discussion is ongoing, with participants seeking clarification on the mappings and exploring the implications of the linear transformation. Some guidance has been provided regarding the process of finding the matrix representation, but no consensus has been reached on the specific details of the operator.

Contextual Notes

There is a mention of the original poster's self-study efforts and the specific problem's context within a textbook, indicating a potential lack of prior knowledge or assumptions that may need to be addressed.

frowdow
Messages
3
Reaction score
0
I am trying to figure out what the matrix of this linear operator would be:
T:M →AMB where A, M, B are all 2X2 matrices with respect to the standard bases of a 2x2 matrix viz. e11, e12 e21 and e22. Any ideas? Il know it should be 2X8 matrix. I am trying to teach myself Abstract algebra using Artin's book and this is listed in the problem section in one of the chapters.

Thanks,
Frowdow
 
Physics news on Phys.org
Hey frowdow and welcome to the forums.

Just to clarify what are the domain and range (or codomain) of the actual mappings?
 
What are the images of the standard basis elements under T?
 
In general, one can find the matrix representing a given linear transformation, in a given basis, by applying the linear transformation to each basis "vector" in turn, writing the result as a linear combination of the basis vectors. The coefficients of the linear combination form the columns of the matrix.

[tex]e_{11}= \begin{bmatrix}1 & 0 \\ 0 & 0\end{bmatrix}[/tex]
If, say,
[tex]A= \begin{bmatrix}a_{11} & a_{12} \\ a_{21} & a_{22}\end{bmatrix}[/tex]
and
[tex]B= \begin{bmatrix}b_{11} & b_{12} \\ b_{21} & b_{22}\end{bmatrix}[/tex]
then
[tex]Ae_{11}B= \begin{bmatrix}a_{11} & a_{12} \\ a_{21} & a_{22}\end{bmatrix} \begin{bmatrix}1 & 0 \\ 0 & 0\end{bmatrix}\begin{bmatrix}b_{11} & b_{12} \\ b_{21} & b_{22}\end{bmatrix}[/tex]
[tex]= \begin{bmatrix}a_{11} & 0 \\ a_{21} & 0\end{bmatrix}\begin{bmatrix}b_{11} & b_{12} \\ b_{21} & b_{22}\end{bmatrix}= \begin{bmatrix}a_{11}b_{11} & a_{11}b_{21} \\ a_{21}b_{12} & a_{21}b_{22}\end{bmatrix}[/tex]
[tex]= a_{11}b_{11}e_{11}+ a_{11}b_{21}e_{12}+ a_{21}b{21}e_{21}+ a_{21}b_{22}e_{22}[/tex]
so the first 'column' consists of those four matrices. That is, the matrix is 2 by 2 but each entry is a 2 by 2 matrix so, expanded, it has 4 rows and 4 columns.
 

Similar threads

Replies
5
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
Replies
25
Views
5K
  • · Replies 69 ·
3
Replies
69
Views
11K
  • · Replies 6 ·
Replies
6
Views
6K
Replies
2
Views
6K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 24 ·
Replies
24
Views
6K
  • · Replies 1 ·
Replies
1
Views
2K
Replies
2
Views
5K