I am facing the following exercise in functional analysis.
Let $H$ be a Hilbert space and $P$ a bounded projector. We define the subspaces $M=\operatorname{im}P$ and $N=\operatorname{im}(I-P)^\perp$. Show that $$\require{amsmath,mathtools} \alpha=\inf_{m\in M\setminus\{0\}}\sup_{n\in N\setminus\{0\}}\frac{|\langle m,n\rangle|}{||m|| ||n||}>0.$$
I know that $M$ and $N$ are closed since $P$ is bounded and that we can write $N=(\operatorname{ker} P)^\perp$. Now let $m=Pu$ with $u\not\in \operatorname{ker} P$ and $n\in N$, I don't see how to proceed.
Any help is appreciated.
(By the way, is there any general intuition to this "inf-sup"-condition?)
So here is a completely different approach. By writing $H=M\oplus M^\perp$, we can see the elements of $B(H)$ as $2\times 2$ block matrices. The fact that $P$ is an idempotent with range $M$ gives us $$ P=\begin{bmatrix} I&B\\0&0\end{bmatrix}. $$ The operator $B:M^\perp\to M$ is bounded, since $P$ is bounded. Of course, $$ M=\left\{\begin{bmatrix} x\\0\end{bmatrix}:\ x\in M\right\}. $$Let us determine $N$. We know that $N=(\ker P)^\perp$. And $$ \ker P=\left\{\begin{bmatrix} x\\y\end{bmatrix}:\ x+By=0 \right\}. $$ This allows us to write $$ \ker P=\left\{\begin{bmatrix} -Bz\\z\end{bmatrix}:\ z\in M^\perp\right\}. $$ If $\begin{bmatrix} x\\ y\end{bmatrix}\in (\ker P)^\perp$ we have, for all $z\in M^\perp$ $$ 0=\left\langle\begin{bmatrix} x\\ y\end{bmatrix},\begin{bmatrix} -Bz\\ z\end{bmatrix} \right\rangle=\langle x,-Bz\rangle+\langle y,z\rangle=\langle -B^*x+y,z\rangle. $$ Then $-B^*x+y\in M^{\perp\perp}=M$ (here we use that $M$ is closed). Now, since $B$ maps $M^\perp$ to $M$, its adjoint $B^*$ maps $M$ to $M^\perp$. So $-B^*x+y\in M^\perp$. As $M\cap M^\perp=\{0\}$, we get that $-B^*x+y=0$. In other words, $$ N=(\ker P)^\perp=\left\{\begin{bmatrix} x\\ B^*x\end{bmatrix}:\ x\in M\right\}. $$ Now, given $m\in M$ and $n\in N$, we have $$ m=\begin{bmatrix} x\\ 0\end{bmatrix},\ \ \ \ n=\begin{bmatrix} z\\ B^*z\end{bmatrix} $$ for some $x,z\in M$. Then \begin{align} \sup_{n\in N\setminus\{0\}}\frac{|\langle m,n\rangle|}{ \|n\|} &=\sup_{z\in M}\frac{|\langle x,z\rangle|}{\sqrt{\|z\|^2+\|B^*z\|^2}}\\[0.3cm] &\geq\sup_{z\in M}\frac{|\langle x,z\rangle|}{\sqrt{\|z\|^2+\|B^*\|^2\,\|z\|^2}}\\[0.3cm] &=\frac1{\sqrt{1+\|B\|^2}}\,\sup_{z\in M}\frac{|\langle x,z\rangle|}{\|z\|}\\[0.3cm] &=\frac{\|x\|}{\sqrt{1+\|B\|^2}} =\frac{\|m\|}{\sqrt{1+\|B\|^2}} \end{align} (since $x\in M$, the equality $\sup_{z\in M}\frac{|\langle x,z\rangle|}{\|z\|}=\|x\|$ is an easy consequence of Cauchy-Schwarz). So, for any nonzero $m\in M$, \begin{align} \sup_{n\in N\setminus\{0\}}\frac{|\langle m,n\rangle|}{\|m\|\, \|n\|} \geq\frac{1}{\sqrt{1+\|B\|^2}}=\frac1{\|P\|}. \end{align} To see this last equality, note that $$\|P\|^2=\|P^*\|=\|PP^*\|=\|I+BB^*\|=1+\|BB^*\|=1+\|B\|^2.$$