Finding a basis given a transformation matrix

In summary, the linear transformation T from M_{2,2} to M_{2,1} is given by T ([a b; c d]) = [a-2b ; c-2d]. To find the matrix [T]C,B of T with respect to the bases B and C, you can take the linear transformation of each basis element in M_{2,2} in turn and write the result as a linear combination of the basis in M_{2,1}, with the coefficients being the columns. To find a basis D for M_{2,2} such that [T]C,D = [1 0 0 0; 0 1 0 0], you can choose
  • #1
enaktan90
1
0

Homework Statement


Let T : M2,2, --> M2,1 be the linear transformation given by

T ([a b; c d]) = [a-2b ; c-2d]
Fix bases B = { [1 0 ; 0 0], [ 0 1 ; 0 0], [0 0 ; 1 0], [0 0 ; 0 1]} and
C = { [1 ; 0], [0 ; 1]} for M2,2, and M2,1 respectively.


(a) Find the matrix [T]C,B of T with respecct to the bases B and C.

(b) Use the matrix from part (a) to find a basis for Ker(T)

(c) Find a basis D for M2,2 such that:

[T]C,D = [ 1 0 0 0 ; 0 1 0 0 ]


Homework Equations



above

The Attempt at a Solution



I HAVE MANAGED TO DO PART (A) AND (B). CLUELESS ABOUT PART (C)!
 
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  • #2
Congratulations on doing (a) and (b)! Since you were able to do that, presumably, you know that you can take the linear transformation of each basis element in [itex]M_{2,2}[/itex] in turn, then write the result as a linear combination of the basis in [itex]M_{2,1}[/itex], the coefficients then being the columns.

Now you want to specify the bases that will give that particular matrix. That will be possible if and only if the given basis is "similar" to the matrix you got in (a).

Here's a pretty obvious way to do it: Since you want the last two columns to be zeroes, choose two independent matrices from the kernel of T (which would have to be 2 dimensional for this to be possible). Now, find two independent matrices that are not in the kernel so that T maps them into [1 0] and [0 1].

Since T([a, b; c, d])= [a- 2b, c- 2d] that means you are looking for 4 matrices such that
1) a- 2b= 1 and c- 2d= 0.
2) a- 2b= 0 and c- 2d= 1. And the matrices in (1) and (2) are independent.
3) a- 2b= 0 and c- 2d= 0.
4) a- 2b= 0 and c- 2d= 0. And the maricex in (3) and (4) are independent.
 

1. What is a transformation matrix?

A transformation matrix is a square matrix that represents a linear transformation. It is used to describe how a set of coordinates in one vector space is mapped to a new set of coordinates in another vector space.

2. How do you find a basis given a transformation matrix?

To find a basis given a transformation matrix, you need to find the eigenvectors of the matrix. These eigenvectors will form the basis for the transformation. You can also use the Singular Value Decomposition (SVD) method to find the basis.

3. What is the importance of finding a basis for a transformation matrix?

Finding a basis for a transformation matrix is important because it helps us understand the transformation better. It also allows us to perform calculations and make predictions about the transformation, such as its effect on vectors and its inverse.

4. Can a transformation matrix have more than one basis?

Yes, a transformation matrix can have multiple bases. This is because a basis is not unique and there can be different sets of vectors that can form a basis for a given transformation matrix.

5. How can I check if a set of vectors form a basis for a given transformation matrix?

To check if a set of vectors form a basis for a given transformation matrix, you can use the Gram-Schmidt process or the Row-Echelon form method. If the vectors are linearly independent and span the vector space, then they form a basis for the transformation matrix.

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