Sorry about the title. Not enough space for me.
Proposition
If $E = (e_n)$ and $F = (f_n)$ are orthonormal sequences in a real Hilbert space $H$ that satisfy
$$\sum_{n=1}^\infty \|e_n - f_n\| < 1 \tag{A}$$
and $(e_n)$ is total, then $(f_n)$ is total.
Discussion
One thing we can immediately see is that there's a subsequence such that $e_{n_k} \longrightarrow f_{n_k}$ as $n_k \longrightarrow \infty$. That means, we can say stuff like: for $x \in H$ and any $\epsilon > 0$ there exists a sufficiently large $k$ such that
$$|\langle x, e_{n_k}\rangle - \langle x, f_{n_k}\rangle| < \epsilon$$ $$\text{or I think that}$$ $$\| \langle x, e_{n_k}\rangle e_{n_k} - \langle x, f_{n_k}\rangle f_{n_k}\| < \epsilon$$
I don't know if it's easy to apply that fact to prove the proposition. Or maybe we could assume there's some rearrangement of a geometric series that dominates each term to help us out.
My main thinking, however, is that since $(e_n)$ is total, every $x \in H$ can be written as linear combination of the elements of $(e_n)$. Then, seeking a contradiction, if we suppose that $(f_n)$ is not total, then there exists some $x\in H$ not in $\overline{span\{F\}}$ such that $x \perp y \in \overline{span\{F\}}$. Then we take the inner product
$$\langle x, y \rangle = 0$$
But that procedure is sort of leading me in circles. Should I represent $y$ as
$$y = \sum_{n=1}^\infty \langle x, f_n \rangle f_n \tag{B}$$
which I believe is the minimizing vector for x mentioned in the paragraph above?
Any hints for the proof would be great. Thank you.
Assume $\{ e_n \}$ is total. Then $f=\sum_n \langle f,e_n\rangle e_n$. Consider $Lf=\sum_n \langle f,e_n\rangle f_n$. In particular $$ \|(I-L)f\|^2=\|\sum_n \langle f,e_n\rangle(e_n-f_n)\| \\ \le \sum_n\|f\|\|e_n-f_n\|, $$ which implies that $\|I-L\| \le \sum_n \|e_n-f_n\| < 1$. Therefore $L$ is invertible and, hence, is surjective. So the closed linear span of $\{ f_n \}$ must be all of $H$, which is what you want to prove.