Why does the kernel and a one dimensional subspace span the Hilbert space when proving the Riesz lemma?

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In Reed & Simon's text on functional analysis,, they state the Riesz lemma as

For each $T \in H^*$, there is a unique $y_T \in H$ such that $T(x) = (y_T, x)$ for all $x \in H$. In addition $\|Y_T\|_H = \|T\|_{H^*}$.

Their (paraphrased) proof is:

Let $N = \{x \in H : T(x) = 0\}$ and note that $N$ is closed (since it is the preimage of a closed set and $T$ is continuous). Assume $N \neq H$, so there is a nonzero vector $x_0 \in N^\perp$. Let $$Y_T = \overline{T(x_0)}\|x_0\|^{-2}x_0.$$ Then, if $\alpha x_0 = x \in N$, $T(x) = (y_T, \alpha x_0)$. Since the function $T(\cdot)$ and $(y_T, \cdot)$ are linear and agree on $N$ and $x_0$, they must agree on the space spanned by $N$ and $x_0$.

Now this is the part I do not understand:

But $N$ and $x_0$ span $H$ since every element $y \in H$ can be written $$y = \Big(y - \frac{T(y)}{T(x_0)}x_0\Big) + \frac{T(y)}{T(x_0)}x_0.$$ Thus $T(x) = (y_T, x)$ for all $x \in H$.

They then go on to prove uniqueness and equality of the two norms, but I understand those so I have omitted them.

How does $y$ being written in that form imply that $N$ and $x_0$ span $H$? I assume it somehow implies that $y - \frac{T(y)}{T(x_0)}x_0 \in N$, but I do not see how. Also, since we assumed $x \in N$, and $x = \alpha x_0$, by linearity, isn't $x_0$ also in $N$?

EDIT: $$T(x) = T(\alpha x_0) = \alpha T(x_0) = \overline{(T(x_0)}\|x_0\|^{-2}x_0, \alpha x_0) = (y_T, \alpha x_0)$$

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$T(y - \frac{T(y)}{T(x_0)}x_0)=Ty - \frac{T(y)}{T(x_0)}T(x_0)$ by linearity of $T$ (since $\frac{T(y)}{T(x_0)}$ is a scalar).

($x_o \notin N$ since $x_0 \in N^{\perp}$ and $x_0 \neq 0$).