# Linear algebra: kernel, span, dimension? [closed]

Let $A=\left( \begin{array}{cc}0 & 1\\ \end{array}\right)$ and $B=\left( \begin{array}{cc}1 & 0\\ \end{array}\right)$ be two $1\times 2$ matrices.

What is the dimension of $\operatorname{span}\ker(A) \cap \operatorname{span}\ker(B)$?

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## closed as not a real question by Asaf Karagila, BenjaLim, Old John, William, Rudy the ReindeerSep 3 '12 at 10:22

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It is not clear what is meant by the kernel of a vector. –  Gerry Myerson Jul 12 '12 at 9:41
sorry A and B are matrices –  Nithish Pai Jul 12 '12 at 9:45
So $A$ and $B$ are $1\times 2$ matrices which look like $$\left( \begin{array}{cc} a & b \\ \end{array}\right),$$ or $2\times 1$ matrices, which have the form $$\left( \begin{array}{c} a \\ b \\ \end{array}\right)?$$ –  math-visitor Jul 12 '12 at 10:19
A and B are 1*2 matrices –  Nithish Pai Jul 12 '12 at 10:22
The kernel is already a vector space, so there is no need to put "span" in front of it (though it did cause me to wonder what the "spanker" of a matrix might be...). –  Gerry Myerson Jul 12 '12 at 12:35

The kernel of $A$ is spanned by the vector $(1,0)$ while the kernel of $B$ is spanned by the vector $(0,1)$. So $\ker A$ is $1$-dimensional as well as $\ker B$.

Since $span\{(1,0)\}\cap span \{(0,1)\}=(0,0)$, the dimension of the intersection of the two subspaces is $0$.

Edit: let me explain how one computes the kernel for each $A$ and $B$. You want to find all column vectors $$v = \left( \begin{array}{c} x \\ y \\ \end{array}\right)$$ so that $Av=0$ (this will give you the null space of $A$) and $Bv=0$ (this will give you the null space for $B$). Computing $Av$, we get $$Av = \left( \begin{array}{cc} 0 & 1\end{array}\right) \left( \begin{array}{c} x \\ y \\ \end{array}\right) = 0 x + 1 y = y.$$ Since we need to set this equal to zero, we get $y=0$. So the set of all those vectors satisfying $Av=0$ are of the form $(x,0)$ where $x$ varies over the real numbers. Thus $$\ker (A)= \{ (x,0): x\in \mathbb{R}\} = \{ x(1,0): x\in \mathbb{R}\} = span\{ (1,0)\}.$$

The same analysis works for $B$.

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thank u.... The dimensions of their union will be 2 right –  Nithish Pai Jul 12 '12 at 10:44
thank u very much –  Nithish Pai Jul 12 '12 at 11:05
The union of the kernels is not even a vector space. So the notion of dimension is not defined (at least not in the linear algebra world). –  Simon Markett Jul 12 '12 at 11:35

If $Av=0$ and $Bv=0$ then $\binom BAv=0$, where $\binom BA$ is the $2\times 2$ matrix with first line $B$ and second line $A$. But then $\binom BA=E$ the identity matrix. So $\binom BAv=Ev=v=0$.

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