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We prove that if $\Lambda:X \rightarrow Y$ is a continuous linear surjective map between Banach spaces, then $\Lambda$ is an open map. It suffices to show that $\Lambda$ maps the open unit ball in $X$ to a neighborhood of
the origin of $Y$ .
Let $U$ , $V$ be the open unit balls in $X$ , $Y$ respectively. Then $X=\cup_{k \in \mathbb{N}} kU$ , so, since $\Lambda$ is surjective, $Y=\Lambda(X)=\Lambda(\cup_{k \in \mathbb{N}} kU)=\cup_{k \in \mathbb{N}} \Lambda(kU)$ . By the Baire category theorem, $Y$ is not the union of countably many nowhere dense sets, so there is some $k \in \mathbb{N}$ and some open
set $W \subset Y$ such that $W$ is contained in the closure of $\Lambda(kU)$ .
Let $y_0 \in W$ , and pick $\eta>0$ so that $y_0+y \in W$ for all $y$ with $||y||<\eta$ . Then $y_0$ and $y_0+y$ are limit points of $\Lambda(kU)$ , so there are sequences ${x_i'}$ and ${x_i''}$ in $kU$ with $\Lambda x_i' \rightarrow y_0$ and $\Lambda x_i'' \rightarrow y_0+y$ . Letting $x_i=x_i''-x_i'$ , we have $||x_i|| < 2k$ and $\Lambda x_i \rightarrow y$ . So
for any $y \in \eta V$ there is a sequence ${x_i}$ in $2kU$ with $\Lambda x_i \rightarrow y$ . Then by the linearity of $\Lambda$ , we have that for any $\epsilon>0$ and any $y \in Y$ , there is an $x \in X$ with:
$||x||< \delta^{-1} ||y||$ and $||\Lambda x -y||<\epsilon $ (1)
where $\delta=\eta/2k$ .
Now let $y \in \delta V$ and $\epsilon>0$ . Then there is some $x_1$ with $||x_1||< 1$ and $||y-\Lambda x_1||<\epsilon \delta$ . Define a sequence ${x_n}$ inductively as follows. Assume:
$ ||y-\Lambda(x_1+x_2+...+x_n)||<\epsilon \delta 2^{-n} $ (2)
Then by (1) we can pick $x_{n+1}$ so that:
$||x_{n+1}||< \epsilon 2^{-n}$ (3)
and $||y-\Lambda(x_1+x_2+...+x_n) - \Lambda(x_{n+1})||<\epsilon \delta 2^{-(n+1)}$ , so (2) is satisfied for $x_{n+1}$ .
Put $s_n=x_1+x_2+...+x_n$ . Then from (3), $s_n$ is a Cauchy sequence, and so, since $X$ is complete, it converges to some $x \in X$ . By (2), $\Lambda s_n \rightarrow y$ , and by the continuity of $\Lambda$ , $\Lambda s_n \rightarrow \Lambda x$ , so $\Lambda x= y$ . Also, $||x||=\lim_{n \rightarrow \infty} ||s_n|| \leq \sum_{n=1}^\infty ||x_n|| < 1+\epsilon$ . Thus $\Lambda((1+\epsilon)U) \supset \eta V$ , or $\Lambda(U) \supset (1+\epsilon)^{-1} \delta V$ . Since this is true for all $\epsilon>0$ , we have $\Lambda(U) \supset \cup_{\epsilon>0} (1+\epsilon)^{-1} \delta V = \delta V$ .
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