Does [2 15]T Lie in the Column Space of A?

In summary, the question asks if the vector [2 15]T lies in the column space of the matrix A, which is made up of the columns of the given matrix. The solution involves reducing the matrix to row echelon form and determining its column space. The final answer is that [2 15]T does lie in the column space of A.
  • #1
FourierX
73
0

Homework Statement



Does b = [ 2 15 ]T lie in the column of the matrix A

[1 -3]
[2 5]


Homework Equations



a basis of CS(U) forms a basis for the corresponding columns for CS(A)

The Attempt at a Solution


I reduced the given matrix into row echelon form and determined its column space. But did not figure out if [2 15]T lies in the column space of A.
 
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  • #2
Your matrix A reduces to the identity matrix in reduced row echelon form; so then the column space is made up of all the columns of the original matrix;

[tex]
\text{Col}(A)=\left\{
\begin{pmatrix}
1 \\
-3
\end{pmatrix}
,
\begin{pmatrix}
2 \\
5
\end{pmatrix} \right\}
[/tex]

So does the vector they're asking lie in that space? In other words is it a linear combination of those vectors in the space?
 
  • #3
Is the

[tex]
\text{Col}(A)=\left\{
\begin{pmatrix}
1 \\
2
\end{pmatrix}
,
\begin{pmatrix}
-3 \\
5
\end{pmatrix} \right\}
[/tex]

or

[tex]
\text{Col}(A)=\left\{
\begin{pmatrix}
1 \\
-3
\end{pmatrix}
,
\begin{pmatrix}
2 \\
5
\end{pmatrix} \right\}
[/tex]
?
The given matrix is

[tex]

\begin{pmatrix}
1; -3\\
2; 5
\end{pmatrix}
[/tex]
 
  • #4
thanks, i resolved it!
 
  • #5
Oh yea sorry I read your matrix backwards accidentally. Glad you got it.
 

Related to Does [2 15]T Lie in the Column Space of A?

1. What does it mean for [2 15]T to lie in the column space of A?

The column space of a matrix A refers to the span of the columns of A. This means that any vector that can be expressed as a linear combination of the columns of A lies in the column space of A.

2. How can I determine if [2 15]T lies in the column space of A?

To determine if [2 15]T lies in the column space of A, you can perform row operations on the augmented matrix [A | [2 15]T] and check if it is consistent. If it is, then [2 15]T lies in the column space of A.

3. What if [2 15]T does not lie in the column space of A?

If [2 15]T does not lie in the column space of A, it means that it cannot be expressed as a linear combination of the columns of A. This could be due to the columns of A being linearly independent or [2 15]T being outside the span of the columns of A.

4. Can a vector lie in the column space of a matrix with dimensions different from its own?

No, a vector must have the same number of elements as the number of rows in the matrix in order to lie in its column space. For example, for a 2x2 matrix, the vector must have two elements.

5. Is it possible for a matrix to have more than one column space?

No, a matrix can only have one column space. This is because the column space is defined as the span of the columns of the matrix, and the columns of a matrix are fixed and cannot change. However, different matrices can have the same column space.

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