Matrix representation for a transformation

That's sufficient to show not one-to-one. Then you might look for a missing vector in the range (since the matrix has 2 rows), which would show not onto.In summary, the linear transformation T: R2-->R2, given by T(x1, x2, x3)= (3x2-x3, x1+4x2+x3), can be implemented by the matrix [T]_B = [0 3 -1; 1 4 1]. The system is not one-to-one because there are more columns (3) than rows (2), and it is onto because the system is consistent with 2 pivots.
  • #1
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Homework Statement


Consider the linear transformation T: R2-->R2, where
T(x1, x2, x3)= (3x2-x3, x1+4x2+x3)

a. Find a matrix which implements this mapping.
b. Is this transformation one-to-one? Is it onto? Explain.

Homework Equations


[T(x)]_B = ([T]_B) (x_B)


The Attempt at a Solution


The matrix that implements this mapping would be the representation ([T]_B). I think that (x_B) is the vector [x1, x2, x3] and that [T(x)]_B is (3x2-x3, x1+4x2+x3) relative to the {x1, x2, x3} basis. So then ([T]_B) must be the matrix:

0 3 -1
1 4 1

Row-reducing this matrix to echelon form gives 2 pivots, so the transformation is onto since the system is consistent, but it is not one-to-one because the system is linearly dependent.


Are all my thoughts correct for this problem?
 
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  • #2
The matrix is correct. T:R3->R2, not R2->R2. Your conclusions are also correct. Though I would probably figure them out in a less abstract way than counting 'pivots'.
 
  • #3
How would you come to the conclusions? Would you first just point out that there are more columns than rows so one-to-one is not a possibility?
 
  • #4
You might, for instance, find two distinct vectors of R3 which map into the same thing.
 

FAQ: Matrix representation for a transformation

What is a matrix representation for a transformation?

A matrix representation for a transformation is a way to represent a linear transformation using a matrix. It involves using a matrix to describe how the transformation affects the basis vectors of a vector space.

How is a matrix representation for a transformation calculated?

To calculate the matrix representation for a transformation, we first need to choose a basis for the vector space. Then, we apply the transformation to each basis vector and record the resulting vectors as columns of a matrix. This matrix is the matrix representation for the transformation.

Why is a matrix representation for a transformation useful?

A matrix representation for a transformation is useful because it allows us to perform calculations and operations on the transformation using matrix algebra. This can make calculations and proofs easier and more efficient.

Can a matrix representation for a transformation be used for non-linear transformations?

No, a matrix representation for a transformation can only be used for linear transformations. Non-linear transformations do not have a matrix representation, as they do not follow the rules of matrix algebra.

How is a matrix representation for a transformation related to the standard matrix for a linear transformation?

The standard matrix for a linear transformation is a specific type of matrix representation for a transformation. It is the matrix representation for a linear transformation with respect to the standard basis of the vector space. In other words, it is the matrix representation that uses the standard basis vectors as the columns of the matrix.

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