[guided]We now start with an arbitrary projective hyperplane and build the point of the dual projective space that maps to it. Let $\mathbb{P}(W)$ be a projective hyperplane. This means that $W$ is a linear subspace of $V$ of codimension one, so if $n = \dim_K V$, then
\begin{align*}
\dim_K W = n - 1.
\end{align*}
Choose a basis $(w_1,\ldots,w_{n-1})$ of $W$. Since $V$ has dimension $n$, this basis can be extended to a basis $(w_1,\ldots,w_{n-1},u)$ of $V$ for some vector $u \in V$. The idea is to define a linear functional that vanishes on the hyperplane direction $W$ and is nonzero in the one remaining direction.
Define
\begin{align*}
\ell: V \to K
\end{align*}
by requiring
\begin{align*}
\ell(w_i) = 0 \text{ for } 1 \leq i \leq n - 1, \qquad \ell(u) = 1.
\end{align*}
A function defined on a basis extends uniquely to a linear map on the whole [vector space](/page/Vector%20Space), so this prescription defines a unique element $\ell \in V^*$. Because $\ell(u) = 1$, the functional is nonzero, and hence $[\ell]$ is a valid point of $\mathbb{P}(V^*)$.
We verify that its kernel is exactly $W$. First, each basis vector $w_i$ of $W$ satisfies $\ell(w_i) = 0$, so every linear combination of the $w_i$ also lies in $\ker \ell$. Thus
\begin{align*}
W \subset \ker \ell.
\end{align*}
For the reverse inclusion, let $v \in \ker \ell$. Since $(w_1,\ldots,w_{n-1},u)$ is a basis of $V$, there are unique scalars $a_1,\ldots,a_{n-1},b \in K$ such that
\begin{align*}
v = a_1w_1 + \cdots + a_{n-1}w_{n-1} + bu.
\end{align*}
Applying $\ell$ and using linearity gives
\begin{align*}
0 = \ell(v) = a_1\ell(w_1) + \cdots + a_{n-1}\ell(w_{n-1}) + b\ell(u) = b.
\end{align*}
Therefore
\begin{align*}
v = a_1w_1 + \cdots + a_{n-1}w_{n-1} \in W.
\end{align*}
So $\ker \ell \subset W$, and hence $\ker \ell = W$. Consequently
\begin{align*}
\Phi([\ell]) = \mathbb{P}(\ker \ell) = \mathbb{P}(W).
\end{align*}
Because the hyperplane $\mathbb{P}(W)$ was arbitrary, every projective hyperplane lies in the image of $\Phi$.[/guided]