Dimension of $W_{2}$?

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Let $A = \begin{bmatrix} 1 & -1 & -5 & 1 & 4\\ -1 & 2 & 8 & -3 & -4\\ 3 & -1 & -9 & 0 & 4 \\ 2 & 2 & 2 & -5 & -10\\ 0&-3&-9&5&13\end{bmatrix}$

Now we define the subspace $W_{1},W_{2}$ of $A$ as follows -

$W_{1} = \{X \in M_{5 \times 5}| AX = 0\}$

$W_{2} = \{Y \in M_{5 \times 5} | YA =0\}$

I can see that $W_{1}$ is the nullspace of $A$

using rank nullity theorem I got Nullity of $A$ as $2$ since we have the rank of matrix $A$ to be 3.

Now I am thinking about the dimension of $W_{2}$?

As from the comments and we know that row rank = column rank, hence dim$(W_{2}) = 2$

But Now I am thinking about the dimension of $W_{1} \cap W_{2}$ and $W_{1} + W_{2}$?

Any ideas?

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Let us first look at \begin{align*} W'&= \{X\in M_{5\times 1}; AX=0\}\\ W''&= \{Y\in M_{1\times 5}; YA=0\} \end{align*} In the other words we look at similar equations but with column/row vectors instead of matrices.

By a direct computation you can get that $\operatorname{rank}A=4$, which implies that $\dim(W')=\dim(W'')=1$. You can also compute that $W'$ is the span of the column vector $\vec a=(2,-3,1,0,0)^T$ and that $W''$ is the span of the row vector $\vec b^T=(5,0,-1,-1,2)$.

If we denote the columns of the matrix $X$ as $\vec c_1,\dots,\vec c_5$ then we have $$AX = A\begin{pmatrix} \vec c_1 & \vec c_2 & \ldots & \vec{c_5} \end{pmatrix} = \begin{pmatrix} A\vec c_1 & A\vec c_2 & \ldots & A\vec{c_5} \end{pmatrix} = \begin{pmatrix} \vec 0 & \vec 0 & \ldots & \vec 0 \end{pmatrix}.$$ I.e., each of the columns fulfills the condition $A\vec c_i=\vec 0$. So we see that the matrices in $W_1$ are precisely those matrices where each column is a multiple of $\vec a$.

Similarly, we get for the rows of the matrix $X\in W''$ the condition $\vec r_i^TA=\vec 0^T$, and $W_2$ consists of those matrices where each row is multiple of $\vec b$.

We get that \begin{align*} W_1&=\{ \begin{pmatrix} 2a & 2b & 2c & 2d & 2e \\ -3a & -3b & -3c & -3d & -3e \\ a & b & c & d & e \\ 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 \\ \end{pmatrix}; a,b,c,d,e \in \mathbb R\} \\ W_2&=\{ \begin{pmatrix} 5s & 0 & -s & -s & -2s \\ 5t & 0 & -t & -t & -2t \\ 5u & 0 & -u & -u & -2u \\ 5v & 0 & -v & -v & -2v \\ 5w & 0 & -w & -w & -2w \\ \end{pmatrix}; s,t,u,v,w \in \mathbb R\} \end{align*} And we also see that $\dim(W_1)=\dim(W_2)=5$.

Now the matrices in the intersection $W_1\cap W_2$ are precisely the matrices which can be expressed in both ways.

$$\begin{pmatrix} 2a & 2b & 2c & 2d & 2e \\ -3a & -3b & -3c & -3d & -3e \\ a & b & c & d & e \\ 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 \\ \end{pmatrix}= \begin{pmatrix} 5s & 0 & -s & -s & -2s \\ 5t & 0 & -t & -t & -2t \\ 5u & 0 & -u & -u & -2u \\ 5v & 0 & -v & -v & -2v \\ 5w & 0 & -w & -w & -2w \\ \end{pmatrix} $$ Those are precisely the multiples of $$ \begin{pmatrix} 10& 0 &-2 &-2 &-4 \\ -15& 0 & 3 & 3 & 6 \\ 5 & 0 &-1 &-1 &-2 \\ 0 & 0 & 0 & 0 & 0 \\ 0 & 0 & 0 & 0 & 0 \\ \end{pmatrix} $$ This matrix generates $W_1\cap W_2$. We see that $\dim(W_1\cap W_2)=1$.

From the equation $$\dim W_1+\dim W_2=\dim(W_1+W_2)+\dim(W_1\cap W_2)$$ we can calculate that $\dim(W_1+W_2)=9$.

24
On

$W_1$ is not the nullspace of $A$. The nullspace of $A$ is a subspace of $\mathbb R^5$, while $W_1$ is a subspace of $\mathbb R^{5\times 5}$. To calculate the dimension of $W_1$, take into account that if the columns of $X$ are $[x_1,x_2,x_3,x_4,x_5]$ (where $x_i\in\mathbb R^5$ for all $i$), then $AX=[Ax_1,Ax_2,Ax_3,Ax_4,Ax_5]$.

With $W_2$, consider the fact that $YA=0\iff A^\top Y^\top=0$