Let
$A=\begin{bmatrix}
1 & 2 & 3 &4 \\
0 & 0 & 0 & 1
\end{bmatrix}$
What's dim(Null(A))+dim(Col(A))?
Is that the most reduced form it could take or is there more i can do to the matrix?
Let
$A=\begin{bmatrix}
1 & 2 & 3 &4 \\
0 & 0 & 0 & 1
\end{bmatrix}$
What's dim(Null(A))+dim(Col(A))?
Is that the most reduced form it could take or is there more i can do to the matrix?
On
\begin{align*} \dim(\operatorname{Col}(A)) &= \operatorname{Rank}(A) = \text{# of pivot columns} \\ \dim(\operatorname{Nul}(A)) &= \text{# of columns that aren't pivot columns} \\ \dim(\operatorname{Col}(A)) + \dim(\operatorname{Nul}(A)) &= \text{# of columns} \end{align*}
Wish my teacher explained these terms like this, because span and subspace are way too vague for me. Hope this helps.
This is the most reduced form you can have. Here, $dim(Col(A))=2$, in fact the first and the last columns are linearly independent, while the second and the third are both multiples of the first one. Moreover, a known theorem of linear algebra asserts that $dim(Col(A))+dim(Null(A))=$number of columns, i.e. the dimension of the domain of the map represented by the matrix $A$. So, $dim(Null(A))=2$. Try to find a basis for it!