Relation between null and column space

In summary, the conversation discusses the relationship between two matrices, A and B, in terms of null spaces and column spaces. The question is whether $\operatorname{null}A$ is equal to $\operatorname{null}B$ and whether $\operatorname{col}\operatorname{rref}A$ is equal to $\operatorname{col}\operatorname{rref}B$. Further clarification is needed on the meaning of the operatornames used.
  • #1
Dethrone
717
0
Is there a relationship between 1 and 2. If so, is it 1 implies 2, 2 implies 1, or if and only if.
1) $\operatorname{null}A=\operatorname{null}B$
2) $\operatorname{col}\operatorname{rref}A=\operatorname{col}\operatorname{rref }B$
 
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  • #2
Rido12 said:
Is there a relationship between 1 and 2. If so, is it 1 implies 2, 2 implies 1, or if and only if.
1) $\operatorname{null}A=\operatorname{null}B$
2) $\operatorname{col}\operatorname{rref}A=\operatorname{col}\operatorname{rref }B$

Hey Rido! ;)

Nice operatornames! (Mmm)

Actually, I'm not quite clear on what $\operatorname{col}$ is supposed to mean.
It it the column space? Or the rank of the column space?
Can you clarify?

And what about $\operatorname{null}$? Is it whether the matrix is a null matrix, or is it the kernel $\operatorname{ker}$? (Wondering)
 
  • #3
I like Serena said:
Hey Rido! ;)

Nice operatornames! (Mmm)

Actually, I'm not quite clear on what $\operatorname{col}$ is supposed to mean.
It it the column space? Or the rank of the column space?
Can you clarify?

And what about $\operatorname{null}$? Is it whether the matrix is a null matrix, or is it the kernel $\operatorname{ker}$? (Wondering)
$\DeclareMathOperator{\adj}{adj}$
$\DeclareMathOperator{\null}{null}$
$\DeclareMathOperator{\col}{col}$

Hi ILS! :D

$\col A$ represents the column space of $A$, so in this case, it is the column space of the row reduced form of $A$. The matrix is the null matrix.
 
  • #4
Let's pick a couple of simple matrices. (Thinking)

Say $A=(^{2\ 0}_{0\ 0})$ and $B=(^{0\ 3}_{0\ 0})$.

What are $\operatorname{null} A$ and $\operatorname{null} B$?
And $\operatorname{rref} A, \operatorname{rref} B$?
And $\operatorname{col} \operatorname{rref} A, \operatorname{col} \operatorname{rref} B$?

Do they give you a clue? (Wondering)
 

FAQ: Relation between null and column space

What is the null space and column space of a matrix?

The null space of a matrix is the set of all vectors that, when multiplied by the matrix, result in a zero vector. The column space is the set of all linear combinations of the columns of the matrix.

How are the null space and column space related?

The null space and column space are related in that the null space is the orthogonal complement of the column space. This means that any vector in the null space is perpendicular to all vectors in the column space, and vice versa.

Can a matrix have a non-zero null space and column space?

Yes, a matrix can have a non-zero null space and column space. This means that there exist vectors that result in a zero vector when multiplied by the matrix, and also vectors that can be expressed as a linear combination of the columns of the matrix.

How can the null space and column space be used in solving systems of linear equations?

The null space and column space can be used to determine if a system of linear equations has a unique solution, no solution, or infinite solutions. If the null space contains only the zero vector, then the system has a unique solution. If the null space contains non-zero vectors, then the system has either no solution or infinite solutions, depending on the specific vectors in the null space.

Are the null space and column space affected by elementary row operations?

Yes, the null space and column space are affected by elementary row operations. However, the row space and column space remain unchanged. This means that the dimensions of the null space and column space may change, but the span of these spaces remains the same.

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