

What I don't understand here is why is $h(\alpha)=0$ for all $\alpha$ in $N_{k}$. Is there a typo?
In case there is not, could someone please detail that last step please?


What I don't understand here is why is $h(\alpha)=0$ for all $\alpha$ in $N_{k}$. Is there a typo?
In case there is not, could someone please detail that last step please?
Answered by Daniel Fischer in a comment
By construction, the restriction of $h$ to $N_k$ is $g' - \sum\limits_{i=1}^{k-1}f_i'$ - which is $0$, by construction.
Additional details
The induction hypothesis is that for all vector spaces $V$, and all systems $(\mu,\{\lambda_i : 1 \leqslant i \leqslant r\})$ of linear functionals on $V$, with $r < k$, and $\mathcal{N}(\mu) \supset \bigcap\limits_{i=1}^r \mathcal{N}(\lambda_i)$, you can write $\mu$ as a linear combination of the $\lambda_i$. The induction hypothesis is applied to the space $V = N_k$, and the system $(g', \{ f_i' : 1 \leqslant i < k\})$.
Here $\mathcal{N}(f)$ denotes the null space, or kernel, of $f$. By system, I mean the kind of data the theorem is concerned with. You have a finite set of linear functionals (the $f_i$ resp $\lambda_i$), and another linear functional ($g$ or $\mu$) that vanishes on the intersection of the null spaces of the $f_i$ ($\lambda_i$).