In summary, the null space, column space, and row space of a matrix representation of a linear transformation provide information about subspaces of the domain and range of the transformation. The row space specifically represents the subspace onto which the transformation projects vectors from the domain.
  • #1
GwtBc
74
6

Homework Statement


We're given some linear transformations, and asked what the null space, column space and row space of the matrix representations tell us

Homework Equations

The Attempt at a Solution


I know what information the column space and null space contain, but what does the row space of a transformation matrix tell me?
 
  • #3
GwtBc said:

Homework Statement


We're given some linear transformations, and asked what the null space, column space and row space of the matrix representations tell us

Homework Equations

The Attempt at a Solution


I know what information the column space and null space contain, but what does the row space of a transformation matrix tell me?
The row space is a subspace of the domain of the transformation.
Here's a simple example.
Let T be a linear transformation, ##T: R^3 \to R^2##, with T(x) = Ax, with x in R3 and A defined as
##A = \begin{bmatrix} 1 & 0 & 0 \\ 0 & 1 & 0 \end{bmatrix}##
The row space of A is a two-dimensional subspace of R3; namely, the x-y plane. This transformation projects a vector x onto the x-y plane.
 

1. What is the row space of a transformation matrix?

The row space of a transformation matrix refers to the vector space spanned by the rows of the matrix. It represents all possible linear combinations of the rows of the matrix.

2. How is the row space related to the column space of a transformation matrix?

The row space and the column space of a transformation matrix are related by the rank-nullity theorem. The rank of a matrix is equal to the dimension of both the row space and the column space.

3. Can the row space of a transformation matrix be larger than its column space?

No, the row space and the column space of a transformation matrix have the same dimension, which is equal to the rank of the matrix. Therefore, they cannot have different sizes.

4. How can the row space of a transformation matrix be used to determine linear independence?

If the row space of a transformation matrix is equal to the entire vector space in which it is defined, then the rows of the matrix are linearly independent. If the row space is a proper subspace, then the rows are linearly dependent.

5. Is the row space of a transformation matrix affected by elementary row operations?

No, elementary row operations such as row addition, multiplication, and swapping do not change the row space of a transformation matrix. This is because these operations only change the representation of the vectors in the space, but not the vectors themselves.

Similar threads

  • Calculus and Beyond Homework Help
Replies
2
Views
971
  • Calculus and Beyond Homework Help
Replies
18
Views
1K
  • Calculus and Beyond Homework Help
Replies
3
Views
2K
  • Calculus and Beyond Homework Help
Replies
4
Views
1K
  • Calculus and Beyond Homework Help
Replies
2
Views
513
  • Linear and Abstract Algebra
Replies
8
Views
851
  • Precalculus Mathematics Homework Help
Replies
10
Views
606
  • Calculus and Beyond Homework Help
Replies
0
Views
441
  • Calculus and Beyond Homework Help
Replies
7
Views
1K
  • Precalculus Mathematics Homework Help
Replies
32
Views
813
Back
Top