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% vim: indentexpr=
\documentclass[b5page]{book}
\input{common}
\externaldocument{a}
\externaldocument{b}
\newcommand{\TODO}[1]{\textcolor{darkred}{\textsc{\underline{todo}}}}
\begin{document}
\appendix
\chapter{Solutions, Addenda, Errata}
\begin{erratum}{parsec-40.160}%
It should be assumed that $T$ is bounded.
\end{erratum}
\begin{erratum}{parsec-50.60}%
Don't follow the hints.
\end{erratum}
\begin{erratum}{parsec-60.30}%
``$\|x_\infty-x\|\leq \varepsilon$'' should read ``$\|x_\infty-x_n\|\leq\varepsilon$''.
\end{erratum}
\begin{erratum}{parsec-110.60}
``$\|a\| < \|b\|$'' in point~2
should read ``$\|a\|< \|b^{-1}\|^{-1}$''.
\end{erratum}
\begin{erratum}{parsec-110.150}
In the hint for point 3,
``$a^n+1 = \prod_{k=1}^n a+\zeta^{2k+1}$''
should read
``$a^n+1 = \prod_{k=1}^n a-\zeta^{2k+1}$''.
\end{erratum}
\begin{erratum}{parsec-120.30}
``$(f\cdot g)'=f'\cdot g + g'\cdot f$'' should
read ``$(f\cdot g)' = f'\cdot g + f\cdot g'$''.
\end{erratum}
\begin{erratum}{parsec-200.30}
Where ``$\|f(a)\|\leq f(1)\,\|a\|\leq\|f(1)\|\,\|a\|$
by \sref{parsec-170.60}''
is written
one should read
``$\|f(a)\|\leq\|f(1)\|\,\|a\|$ by \sref{parsec-170.60}''.
\end{erratum}
\begin{erratum}{parsec-220.60}
In the definition of~$J$,
one should read ``$q(\Real{b})$''
and~``$q(\Imag{b})$''
instead of~``$\Real{b}$''
and~``$\Imag{b}$'', respectively.
\end{erratum}
\begin{erratum}{parsec-230.50}
It should be assumed that $a$ and~$b$ are
positive in point~3.
\end{erratum}
\begin{addendum}{parsec-240.20}
Another property worth proving is:
\begin{enumerate}
\setcounter{enumi}{3}
\item
$\|a\|=\|a_+\|\vee \|a_-\|$.
\end{enumerate}
\end{addendum}
\begin{erratum}{parsec-270.120}
It's erroneously assumed that~$\left|a\right|\in J$.
Here's a corrected proof:
We'll show first that for~$a,b\in\scrA_+$
with~$ab=0$ either $a\in I$ or~$b\in I$.
To this end, consider
the Riesz ideal~$I+(a)_m$,
where~$(a)_m$ is the Riesz ideal generated by~$a$
from~\sref{parsec-270.100}(1).
Since~$I$ is maximal, either~$I+(a)_m=I$
or
$I+(a)_m=\scrA$.
In the former case, $a\in I$,
and so we'd be done.
So we assume that~$I+(a)_m=\scrA$.
In particular, $1 \in (I+(a)_m)$,
and so~$1=x+a'$ for some~$x\in I$ and~$a'\in (a)_m$.
Upon taking the real part
we see that we may assume~$x$ and~$a'$ to be self-adjoint.
By definition of~$(a)_m$ there's $n\in \N$ with
$\left|a'\right|\leq na$.
Then, $1=\left|1\right|=\left|x+a'\right|
\leq \left|x\right| + \left|a'\right|
\leq \left|x\right| + na$.
By a similar reasoning for~$b$,
we can find $y\in I\cap\Real{\scrA}$
and~$m\in\N$ with $1\leq\left|y\right|+mb$.
Then,
using~\sref{parsec-230.70}(2),
\begin{alignat*}{3}
1 \ \leq\ (\left|x\right| + na)(\left|y\right|+mb)
\ &= \ \left|x\right|\left|y\right| \,+\,
na\left|y\right|\,+\, mb\left|x\right|\,+\,nmab\\
\ &= \ \left|x\right|\left|y\right| \,+\,
na\left|y\right|\,+\, mb\left|x\right|
\ \in\ I\quad \text{by \sref{parsec-270.80}.}
\end{alignat*}
But then~$1\in I$, which is absurd.
Thus either~$I+(a)_m=I$ and thus~$a\in I$,
or~$I+(b)_m = I$ and thus~$b\in I$.
To see that~$I$ is a maximal order ideal,
let~$J$ be a proper order ideal with~$I\subseteq J$.
We must show that~$J=I$.
It suffices to show that~$J$ is a Riesz ideal
(since~$I$ is a maximal Riesz ideal).
Let~$a\in \Real{J}$ be given;
we must show that~$\left|a\right|\in J$.
Recall that $a=a_+-a_-$ and $a_+a_-=0$.
Thus the previous discussion either~$a_+\in I\subseteq J$
or~$a_-\in I\subseteq J$.
In fact, since~$a_+-a_- = a\in J$,
both $a_+\in J$ and~$a_-\in J$.
But then~$a_++a_- = \left|a\right| \in J$.
Hence~$J$ is a Riesz ideal,
and so~$I=J$.
Thus~$I$ is a maximal order ideal.
\end{erratum}
\begin{erratum}{parsec-280.20}
In point 1,
``$ac=ca$'' should read
``$ac=ca$ and $a^*c=ca^*$''.
\end{erratum}
\begin{addendum}{parsec-280.40}
The statement ``$(a+\frac{1}{n})^\alpha$
norm converges to $a^\alpha$ as $n\to\infty$''
lacks an argument.
Here is one.
First note that~$a$ and all~$a+\frac{1}{n}$
are elements of a commutative $C^*$-subalgebra~$\scrB$
of~$\scrA$.
We'll show, more generally,
that given any uniformly continuous map $f\colon D\to\C$
on some subset~$D$ of~$\C$,
the assignment $b\mapsto f(b)$
where~$b\in \scrB$ with~$\spec(b)\subseteq D$
is uniformly continuous
with respect to the norm on~$\scrA$.
So let~$\varepsilon>0$ be given.
Since~$f$ is uniformly continuous,
there's $\delta>0$ with $\left|f(x)-f(y)\right|\leq\varepsilon$
for all~$x,y\in D$ with $\left|x-y\right|\leq \delta$.
Now, let~$a,b\in \scrB$ with
$\spec(a),\spec(b)\subseteq D$
and~$\left\|a-b\right\|\leq \delta$ be given. Then:
\begin{alignat*}{3}
\|f(a)-f(b)\|
\ &= \ \sup_{\varphi\in \spec(\scrB)}
\left|\,\varphi(\,f(a)\,-\,f(b)\,)\,\right|\qquad
&&\text{by~\sref{parsec-270.180}}
\\
\ &=\ \sup_{\varphi\in\spec(\scrB)}\left|
\,\varphi(f(a))\,-\,\varphi(f(b))\,\right|\qquad
&&
\\
\ &=\ \sup_{\varphi\in\spec(\scrB)}\left|
\,f(\varphi(a))\,-\,f(\varphi(b))\,\right|\qquad
&&\text{by~\sref{parsec-280.20}4}
\\
\ &\leq\ \varepsilon,
\end{alignat*}
because $\left|\varphi(a)-\varphi(b)\right|
\leq \|\varphi\|\,\|a-b\|\leq \delta$,
using here that~$\|\varphi\|\leq 1$
(see~\sref{parsec-200.50}).
\end{addendum}
\begin{erratum}{parsec-290.70}
``continuous bijection onto a compact Hausdorff space''
should read
``continuous bijection from a compact space
to a Hausdorff space''.
A continuous bijection into a compact Hausdorff space need not be a
homeomorphism; take, for example, the identity map from~$[0,1]$
with the discrete topology to~$[0,1]$ with the standard topology.
\end{erratum}
\begin{erratum}{parsec-300.40}
``$\|ab\|_\omega \leq \|\omega\|\,\|a\|\,\|b\|_\omega$''
should read
``$\|ab\|_\omega \leq\,\|a\|\,\|b\|_\omega$'',
and
``$\|ab\|_\omega \leq \|\omega\|\,\|a\|_\omega\,\|b\|$''
should read
``$\|ab\|_\omega \leq\,\|a\|_\omega\,\|b\|$''.
\end{erratum}
\begin{erratum}{parsec-300.60}
``$\|ab\|_\omega \leq \|\omega\|\,\|a\|\,\|b\|_\omega$''
should read
``$\|ab\|_\omega \leq\,\|a\|\,\|b\|_\omega$''.
\end{erratum}
\begin{erratum}{parsec-300.90}
We must have $(\varrho_\Omega(a)x)(\omega)
= \varrho_\omega(a)x$
for all~$\omega\in\Omega$,
so
``$\varrho_\Omega(a)x = \sum_{\omega\in\Omega}
\varrho_\omega(a)x(\omega)$''
should read
``$\varrho_\Omega(a)x = \bigoplus_{\omega\in\Omega}
\varrho_\omega(a)x(\omega)$''.
\end{erratum}
\begin{erratum}{parsec-320.150}
``vector state'' and ``$(X)_1$''
should read ``subunital vector functional''
and ``$(X)_{\leq 1}$'', respectively,
where $(X)_{\leq 1} :=
\{x\in X\colon \|x\|\leq 1\}$.
Indeed, there might
not be any vector states on $\scrB^a(X)$.
Also, ignore the hint.
\end{erratum}
\begin{erratum}{parsec-330.10}
In points~1 and~2,
``$N\times M$'' should read
``$M\times N$''.
\end{erratum}
\begin{erratum}{parsec-330.20}
In point~1,
``Hint: use~\sref{parsec-250.30}'' should read
``Hint: use~\sref{parsec-320.150}''.
\end{erratum}
\begin{erratum}{parsec-330.30}
Don't show that~$M_nf$ needn't be bounded
in point~3,
but on the contrary, that it is bounded by~$n^2\|f\|$.
\end{erratum}
\begin{erratum}{parsec-341.50}
In point~6, ``$u=\sqrt{a^{-1}(a^{-1})^*}$''
should read ``$u=a\sqrt{a^{-1}(a^{-1})^*}$''.
\end{erratum}
\begin{erratum}{parsec-370.50}
The strong operator topology is the topology
induced by the seminorms $T\mapsto \|Tx\|$ where~$x\in \scrH$
(which is not always the least topology that makes
all these seminorms continuous.)
\end{erratum}
\begin{erratum}{parsec-430.20}
The remark in point~3 that~$a_\alpha^*a_\alpha$
is norm-bounded is unwarranted.
\end{erratum}
\begin{erratum}{parsec-720.30}
``$\|\omega\|$''
should be removed
from
``$\left|\omega(a^*bc)\right|\,\leq\,
\|\omega\|\,\|a\|_\omega\,\|b\|\,\|c\|_\omega$''
and
``$\|b\ast \omega-b'\ast \omega\|
\leq \|\omega\|\,\|b-b'\|_\omega\,(\|b\|_\omega+\|b'\|_\omega)$''
in point~1.
\end{erratum}
\begin{erratum}{parsec-750.30}
``we have $0\leq a_{nm}\leq \frac{1}{2}$''
should read ``we have $0\leq a_{nm}\leq 1$''.
\end{erratum}
\begin{solution}{parsec-40.30}%
Let~$\scrX$, $\scrY$ and~$\scrZ$ be normed (complex) vector spaces.
\begin{enumerate}
\item
To show that the operator norm does indeed
give a norm on~$\scrB(\scrX,\scrY)$,
the following
three observations
regarding $S,T\in\scrB(\scrX,\scrY)$
suffice.
\begin{enumerate}
\item
We have $\|S+T\|\leq \|S\|+\|T\|$.
To see this,
note that
given~$x\in \scrX$,
we have $\|Sx\|\leq \|S\|\|x\|$
and $\|Tx\|\leq \|T\|\|x\|$---because $\|S\|$ and $\|T\|$ are bounds
for~$S$ and~$T$, respectively,---and so
\begin{equation*}
\|(S+T)x\|
\ \leq\ \|Sx\|+\|Tx\|
\ \leq\ (\|S\|+\|T\|)\|x\|.
\end{equation*}
Thus~$\|S\|+\|T\|$ is a bound for~$S+T$.
Since~$\|S+T\|$ is the least bound for~$S+T$,
we get~$\|S+T\|\leq \|S\|+\|T\|$.
\item
We have
$\|\lambda S\|=\left|\lambda \right| \|S\|$
for any $\lambda \in \C$.
Surely this statement is correct when~$\lambda= 0$.
To see why it's correct for~$\lambda \neq 0$,
note that
$r\mapsto \left|\lambda\right| r$
sends bounds of~$S$ to bounds of~$\lambda S$.
Indeed,
if~$r\in[0,\infty)$ is a bound of~$S$,
then $\|Sx\|\leq r\|x\|$
for all~$x\in \scrX$,
and so~$\|\lambda Sx\| \equiv
\left|\lambda \right|\|Sx\|\leq \left|\lambda\right| r \|x\|$
for all~$x\in\scrX$,
that is, $\left|\lambda\right|r$
is a bound for~$\lambda S$.
Similarly~$r\mapsto \left|\lambda\right|^{-1} S$
sends bounds of $\lambda S$
to bounds of~$S$.
Since the two aforementioned maps are each other's inverse,
and both are order preserving,
$r\mapsto \left|\lambda \right|r$
gives an order isomorphism from
the bounds of~$S$ to the bounds of~$\lambda S$,
and, in particular,
sends the least bound of~$S$ (being $\|S\|$)
to the least bound of~$\lambda S$
(being~$\|\lambda S\|$),
that is,
$\left|\lambda\right|\|S\|=\|\lambda S\|$.
\item
We have $\|S\|=0$ iff~$S=0$.
Indeed, the following are equivalent:
$\|S\|=0$; the number~$0$ is a bound for~$S$;
$\|Sx\|\leq 0$ for all~$x\in\scrX$;
$Sx=0$ for all~$x\in\scrX$;
$S=0$.
\end{enumerate}
\item
Since $\|STx\|\leq \|S\| \|Tx\|
\leq \|S\|\|T\|\|x\|$
for all~$x\in \scrX$
the operator $ST$ is bounded by
$\|S\|\|T\|$.
\item
Indeed, $ \|\id x \|\equiv \|x\|\leq 1\cdot\|x\|$
for all~$x\in\scrX$.
\end{enumerate}
\end{solution}
\begin{solution}{parsec-40.40}%
Recall that we must prove that
\begin{equation*}
r\|T\|\ = \ \sup_{x\in (\scrX)_r} \|Tx\|.
\end{equation*}
Since $(\scrX)_r \equiv \{x\in\scrX\colon \|x\|\leq r\}
= \{rx\colon x\in (\scrX)_1\}$
the problem becomes
\begin{equation*}
r\|T\|\ = \ \sup_{x\in (\scrX)_1} \|Trx\|
\,\equiv\, r\sup_{x\in (\scrX)_1} \|Tx\|.
\end{equation*}
So we've reduced the
problem to the case~$r=1$, that is, to showing that
\begin{equation*}
\|T\|\ = \ \sup_{x\in (\scrX)_1} \|Tx\|.
\end{equation*}
Since for~$x\in (\scrX)_1$
we have $\|x\|\leq 1$,
and so~$\|Tx\|\leq \|T\|\,\|x\|\leq \|T\|$,
we see that~$\sup_{x\in (\scrX)_1} \|Tx\|\leq \|T\|$.
For the other direction,
$\|T\|\leq \sup_{x\in (\scrX)_1} \|Tx\|$,
it suffices to show that
$r:=\sup_{x\in(\scrX)_1} \|Tx\|$
is a bound for~$T$,
that is, we must show given~$x\in\scrX$
that $\|Tx\|\leq r\|x\|$.
When~$x=0$ this is obvious, so we'll assume that~$x\neq 0$.
Then~$\| \,x\|x\|^{-1}\,\|\leq 1$,
so $\|x\|^{-1} \|Tx\|\equiv \|\,T x \|x\|^{-1}\, \| \leq r$,
and thus $\|Tx\|\leq r\|x\|$,
making $r$ is a bound for~$T$.
\end{solution}
\begin{solution}{parsec-40.100}%
Taking~$y:=x-x'$ we see that
$\|y\|^2 = \left<y,y\right>
= \left<y,x\right> - \left<y,x'\right> = 0$,
so~$\|y\|=0$,
so~$y\equiv x-x'=0$,
and thus~$x=x'$.
For the second part,
let~$T_1,T_2\colon \scrH\to\scrK$
be operators between pre-Hilbert spaces~$\scrH$
and~$\scrK$
that are both adjoint to an operator~$S\colon \scrK\to\scrH$.
We must show that~$T_1=T_2$.
Given $x\in\scrH$ we have
\begin{equation*}
\left<T_1x,y\right>
\ = \
\left<x,Sy\right>
\ = \
\left<T_2x,y\right>
\qquad
\text{for all~$y\in\scrK$,}
\end{equation*}
and so~$T_1x=T_2x$ by the previous part.
Whence~$T_1=T_2$.
\end{solution}
\begin{solution}{parsec-40.120}%
We prove slightly more than was requested.
Let~$\scrH$, $\scrK$ and~$\scrL$ be pre-Hilbert spaces.
\begin{enumerate}
\item
Let~$T\colon \scrH\to\scrK$ be an adjointable operator,
so we know that~$T$ is adjoint to some (by~\sref{parsec-40.100}
unique) operator~$T^*\colon \scrK\to\scrH$.
We must show that $T^*$ is adjoint to~$T$ too.
Let~$x\in\scrH$ and~$y\in\scrK$ be given.
Since~$T$ is adjoint to~$T^*$,
we know that~$\left<Tx,y\right>=\left<x,T^*y\right>$,
and so taking the complex conjugate, we get
\begin{equation*}
\left<y,Tx\right>\ =\
\overline{\left<Tx,y\right>}
\ =\
\overline{\left<x,T^*y\right>}
\ =\ \left<T^*y,x\right>,
\end{equation*}
and see that~$T^*$ is adjoint to~$T$.
Thus~$T^{**}=T$ by definition, \sref{parsec-40.80}.
\item
Given adjointable operators
$S,T\colon \scrH\to\scrK$
and~$x\in \scrH$ and $y\in \scrK$,
\begin{equation*}
\left<(S+T)x,y\right>
\ =\ \left<Sx,y\right>\,+\,\left<Tx,y\right>
\ =\ \left<x,S^*y\right>\,+\,\left<x,T^*y\right>
\ =\ \left<x,(S^*+T^*)y\right>,
\end{equation*}
so~$S+T$ is adjoint to~$S^*+T^*$,
and thus~$(S+T)^*=S^*+T^*$.
Given an adjointable operator~$S\colon \scrH\to\scrK$,
$\lambda\in\C$, $x\in\scrH$, and~$y\in\scrK$,
\begin{equation*}
\left<\lambda Sx,y\right>
\ = \
\overline{\lambda} \left<Sx, y\right>
\ = \
\overline{\lambda} \left<x, S^*y\right>
\ = \
\left<x, \overline{\lambda}S^*y\right>,
\end{equation*}
so~$\lambda S$ is adjoint to $\overline{\lambda}S^*$,
and thus $(\lambda S)^*=\overline{\lambda}S^*$.
\item
Given adjointable operators
$S\colon \scrK\to\scrL$
and $T\colon \scrH\to\scrK$,
and
$x\in\scrH$ and $y\in\scrL$,
we have
\begin{equation*}
\left<STx,y\right>
\ = \ \left<Tx,S^*y\right>
\ = \ \left<x,T^*S^*y\right>,
\end{equation*}
so~$ST$ is adjoint to~$T^*S^*$,
and thus~$(ST)^*=T^*S^*$.
\end{enumerate}
\end{solution}
\begin{solution}{parsec-40.150}%
We'll check the first two requirements
for $\|x\|=\smash{\sqrt{\left<x,x\right>}}$
to give a seminorm first.
Given $x\in V$,
we have $\left<x,x\right>\geq 0$,
so~$\|x\|\equiv \smash{\sqrt{\left<x,x\right>}}\geq 0$.
Given $x\in V$ and $\lambda\in \C$,
we have $\left\|\lambda x\right\|^2
= \left<\lambda x,\lambda x\right> = \overline{\lambda}\left<x,x\right>
\lambda = \left|\lambda\right|^2\|x\|^2\geq 0$,
so
we get~$\|\lambda x\| = \left|\lambda\right|\|x\|$
by taking the square root.
Verifying that the triangle inequality holds takes some
preparations.
As the hint suggests, we prove the Cauchy--Schwarz inequality first.
For this, we must given $x,y\in V$ prove
that $\left|\left<x,y\right>\right|^2 \leq \left<x,x\right>
\left<y,y\right>$.
This inequality follows
by applying~\sref{positive-2x2matrix}
to the matrix
$\smash{\bigl(\begin{smallmatrix}
\smash{\left<x,x\right>} & \smash{\left<x,y\right>} \\
\smash{\left<y,x\right>} & \smash{\left<y,y\right>}
\end{smallmatrix}\bigr)}$,
which is positive,
as for all~$u,v\in\C$,
\begin{alignat*}{3}
(
\begin{smallmatrix}
\bar{u} & \bar{v}
\end{smallmatrix})
\
\bigl(
\begin{smallmatrix}
\smash{\left<x,x\right>} & \smash{\left<x,y\right>} \\
\smash{\left<y,x\right>} & \smash{\left<y,y\right>}
\end{smallmatrix}\bigr)
\ \bigl(
\begin{smallmatrix}
u \\ v
\end{smallmatrix}
\bigr)
\ &=\
\bar{u}u\left<x,x\right>\,+\,
\bar{u}v\left<x,y\right> \,+\,
u\bar{v}\left<y,x\right> \,+\,
\bar{v}v\left<y,y\right>
\\
&=\ \left<\,ux+vy,\,ux+vy\,\right>\,\geq \,0.
\end{alignat*}
Upon taking the square root
the Cauchy--Schwarz inequality
takes the forms
\begin{equation*}
\left|\left<x,y\right>\right|
\ \leq\ \|x\|\,\|y\|\qquad\text{for all }x,y\in V.
\end{equation*}
Next, note that~$\bar{z}+z \leq 2\left|z\right|$ for any~$z\in\C$,
because writing $z\equiv a+ib$,
we have $\left|\bar{z}+z\right|^2=(\bar{z}+z)^2 = 4a^2 \leq 4(a^2 + b^2) = 4\left|z\right|^2$,
and so $\bar{z}+z \leq \left|\bar{z}+z\right|\leq 2\left|z\right|$.
In particular, we have,
for all~$x,y\in V$,
\begin{equation*}
\left<x,y\right>+\left<y,x\right>
\ \leq\ 2\left|\left<x,y\right>\right|\ \leq\
2 \|x\|\,\|y\|.
\end{equation*}
Given $x,y\in V$,
the triangle inequality,
$\|x+y\|\leq \|x\|+\|y\|$,
holds,
because
\begin{alignat*}{3}
\|x+y\|^2\ &=\
\left<x+y,x+y\right>
\ =\ \left<x,x\right>\,+\,
\left<x,y\right>\,+\,
\left<y,x\right>\,+\,
\left<y,y\right> \\
&\leq \ \left<x,x\right>\,+\,
2\|x\|\,\|y\|
\,+\,
\left<y,y\right>
\quad\equiv\
\|x\|^2 \,+\, 2\|x\|\,\|y\| \,+\, \|y\|^2\\
\ &=\ (\|x\|+\|y\|)^2.
\end{alignat*}
Whence~$\|x\|=\smash{\sqrt{\left<x,x\right>}}$ gives
a seminorm on~$V$.
Recall that for~$\|\,\cdot\,\|$ to be a \emph{norm},
the additional condition
$\|x\|=0\implies x=0$
for all~$x\in V$
must be met.
This is the case when
$\left<\,\cdot\,,\,\cdot\,\right>$
is definite,
because
$\|x\|=0$
entails $0=\|x\|^2=\left<x,x\right>$,
which, by definiteness of~$\left<\,\cdot\,,\,\cdot\,\right>$,
entails $x=0$.
Let~$x,y\in V$ be given.
To complete this exercise we must establish three
identities.
\emph{Pythagoras' theorem}
holds since $\left<x,y\right>=0$ implies
\begin{alignat*}{3}
\|x+y\|^2\ \equiv \ \left<x+y,x+y\right>
\ &=\
\left<x,x\right>
\,+\, \left<x,y\right>
\,+\, \left<y,x\right>
\,+\, \left<y,y\right>\\
\ &=\
\left<x,x\right>\,+\,\left<y,y\right>
\ = \ \|x\|^2 + \|y\|^2.
\end{alignat*}
Similar to the first line of the display above, we have,
(for any~$x,y\in V$,)
\begin{equation*}
\|x-y\|^2\ =\
\left<x,x\right>
\,-\, \left<x,y\right>
\,-\, \left<y,x\right>
\,+\, \left<y,y\right>.
\end{equation*}
Taking the average of these two equations gives the \emph{parallelogram law}:
\begin{equation*}
\textstyle \frac{1}{2}(\ \|x+y\|^2\,+\,\|x-y\|^2\ )
\ =\
\left<x,x\right>
\,+\, \left<y,y\right>\ \equiv\
\|x\|^2 + \|y\|^2.
\end{equation*}
Concerning the \emph{polarisation identity},
note that for any~$n$, we have
\begin{equation*}
i^n\left<i^nx+y,i^nx+y\right>
\ = \ i^n\left<x,x\right>
\,+\, \left<x,y\right>
\,+\, (-1)^n\left<y,x\right>
\,+\, i^n\left<y,y\right>.
\end{equation*}
Since~$\sum_{n=0}^3 i^n = 0$
and $\sum_{n=0}^3 (-1)^n=0$,
we get
\begin{equation*}
\textstyle
\sum_{n=0}^3i^n\left\|i^nx+y\right\|^2
\ = \ 4\left<x,y\right>.
\end{equation*}
\end{solution}
\begin{solution}{parsec-40.180}%
Let~$\scrS \subseteq \scrB(\scrH)$
denote the set of bounded adjointable operators $\scrH\to\scrH$.
Since by Exercise~\sref{parsec-40.120},
a linear combination
of adjointable operators is again adjointable,
$\scrS$ is a linear subspace of~$\scrB(\scrH)$.
To show that~$\scrS$ is a closed subset of~$\scrB(\scrH)$,
we must prove that
the limit~$T$ in $\scrB(\scrH)$
of
a
sequence $T_1,T_2,\dotsc$
in~$\scrS$
is adjointable.
Note that the sequence $T_1^*,\,T_2^*,\,\dotsc$
is Cauchy, because,
by~\sref{parsec-40.160}, for all~$n,m$,
\begin{equation*}
\|T_n^*-T_m^*\|\ =\ \|(T_n-T_m)^*\|\ =\ \|T_n-T_m\|.
\end{equation*}
Since~$\scrB(\scrH)$ is complete
by~\sref{parsec-40.50},
we may define $S:=\lim_n T_n^*$.
We claim that~$T$ is adjoint to~$S$.
Let~$x,y\in \scrH$ be given.
To prove our claim,
we must show that
that~$\left<Tx,y\right> = \left<x,Sy\right>$.
Note that $T_n^*y$ converges to~$Sy$ as~$n\to\infty$,
because~$\|T_n^*y-Sy\|\leq \|T_n^*-S\|\,\|x\|$
and $\|T_n^*-S\|$ vanishes as~$n$ increases
by definition of~$S$.
As a result,
$\lim_n \left<x,T_n^*y\right> = \left<x,Sy\right>$.
Note that we use here
that the map $\left<x,\,\cdot\,\right>$,
being bounded by Cauchy--Schwarz
(\sref{parsec-40.150}),
is continuous.
On the other hand,
by a similar reasoning,
$\left<x,T_n^*y\right>
\equiv \left<T_nx,y\right>$
converges to~$\left<Tx,y\right>$ too
as~$n$ increases,
and so~$\left<x,Sy\right>=\left<Tx,y\right>$.
Whence~$T$ is adjoint to~$S$,
and thus~$\scrS$ is closed.
\end{solution}
\begin{solution}{parsec-40.190}%
That~$\ketbra{x}{y}\equiv \left<y,\,\cdot\,\right>x\colon \scrH\to\scrH$
is linear is pretty obvious.
Since $\|\,\ketbra{x}{y}z\,\|
= \|\left<y,z\right>x\|
=\left|\left<y,z\right>\right|\,\|x\|
\leq \|y\|\,\|z\|\,\|x\|$
for all~$z\in\scrH$,
we see that~$\ketbra{x}{y}$
is bounded by~$\|y\|\,\|x\|$,
and so~$\|\ketbra{x}{y}\|\leq \|x\|\,\|y\|$.
For the other direction,
note that $\|\ketbra{x}{y}\| \,\|y\|\geq
\|\ketbra{x}{y}y\|=\|\left<y,y\right>x\|
= \|y\|^2\,\|x\|$,
and so~$\|\ketbra{x}{y}\|\geq \|y\|\,\|x\|$.
(Even when~$\|y\|=0$.)
Whence $\|\ketbra{x}{y}\|=\|x\|\,\|y\|$.
Finally, $\ketbra{x}{y}$
is adjoint~$\ketbra{y}{x}$,
because, for all~$w,z\in\scrH$,
\begin{equation*}
\left<\,\ketbra{x}{y}z,\, w\,\right>
\ = \
\left<z,y\right>\,\left<x,w\right>
\ = \
\left<\, z,\,(\ketbra{y}{x}w)\,\right>.
\end{equation*}
\end{solution}
\begin{solution}{parsec-50.30}%
Let~$x$ be an element of~$\ell^2\backslash c_{00}$
(so $x_n$ is non-zero for infinitely many~$n$s.)
We must show that there are no element of~$c_{00}$ with minimal
distance to~$x$.
So let~$y$ be an element of~$c_{00}$,
and suppose (towards a contradiction)
that~$\|x-y\|\leq \|x-y'\|$
for all~$y'\in c_{00}$.
Since~$y$ is in $c_{00}$,
there's~$N$ such that~$y_n=0$ for all~$n> N$.
We claim that~$x_n=y_n$ for all~$n\leq N$.
Indeed, (if not) define $y'\in c_{00}$
by $y_n' = x_n$ for all~$n\leq 0$, and~$y_n'=0$ for all~$n >N$.
Then
\begin{alignat*}{3}
\textstyle
\|x-y'\|^2\ &=\
\textstyle
\sum_{n=N+1}^\infty \left|x_n\right|^2\\
\ &\leq \
\textstyle
\sum_{n=0}^N \left|x_n-y_n\right|^2
\ +\ \sum_{n=N+1}^\infty \left|x_n\right|^2
\ = \ \|x-y\|^2.
\end{alignat*}
Thus~$\|x-y'\|\leq \|x-y\|$.
But since~$y$ is assumed to have minimal
distance to~$x$ among the elements of~$c_{00}$,
we already had $\|x-y\|\leq \|x-y'\|$,
and so~$\|x-y\|=\|x-y'\|$.
Whence~$\sum_{n=0}^N \left|x_n-y_n\right|^2
= 0$,
and so~$x_n=y_n$ for all~$n\leq N$.
In particular, $y=y'$.
It's now easy to find a better approximation
of~$x$ in~$c_{00}$ than~$y$.
Indeed, since~$x_n$ is non-zero for infinitely many~$n$s,
there's an~$M\geq 0$ with
\begin{equation*}
\textstyle
\sum_{n=M+1}^\infty \left|x_n\right|^2
\ <\ \sum_{n=N+1}^\infty \left|x_n\right|^2.
\end{equation*}
Writing $y''$ for the element of~$c_{00}$
with $y_n''=x_n$ for all~$n\leq M$ and~$y_n''=0$
for all~$n > M$,
we have
$\|x-y''\|^2=\sum_{n=M+1}^\infty \left|x_n\right|^2
< \sum_{n=N+1}^\infty \left|x_n\right|^2 = \|x-y'\|^2 = \|x-y\|^2$,
which contradicts $\|x-y\|\leq \|x-y''\|$.
Hence no such~$y$ exists.
\end{solution}
\begin{solution}{parsec-50.60}%
Surely, if $y$ is closest to~$x$
among all elements of~$C$,
it is among all elements of~$y\C\subseteq C$.
Whence~$y$ is a projection of~$x$ on~$y\C$.
We claim that~$\|y\|^2 = \left<x,y\right>$. When~$y=0$
this is obvious, so we may assume that~$y\neq 0$,
so that we can define $e:= y\|y\|^{-1}$.
Since~$y$ is the projection of~$x$ on~$y\C\equiv e\C$,
we know by~\sref{parsec-50.40} that
$y=\left<e,x\right>e$,
and so $\|y\|^2 y = \left<y,x\right>y$.
Whence~$\|y\|^2 = \left<y,x\right>$.
Note that the claim implies that $\left<x-y,y\right>=0$:
\begin{equation*}
0\ =\ \|y\|^2-\left<x,y\right> \ =\ \left<y,y\right>-\left<x,y\right>
\ =\ \left<y,x-y\right>.
\end{equation*}
Let~$c\in C$ be given.
Note that when~$y_1$ is a projection of
$x$ on~$C$, then~$y_1+c$ is a projection
of~$x+c$ on~$C$, because
$\|(y_1+c)-(x+c)\|=\|y_1-x\|\leq \|(y'-c)-x\|\equiv \|y'-(x+c)\|$
for all~$y'\in C$.
Let~$y_1$ and~$y_2$ be projections of~$x$ on~$C$;
we will show that~$y_1=y_2$.
By the previous paragraph,
$0\equiv y_1-y_1$ and~$y_2-y_1$ are projections of~$x-y_1$ on~$C$,
and thus on~$y_1\C$.
But since there's at most one projection of~$x-y_1$ on~$y_1\C$
by~\sref{parsec-50.40} (even when~$y=0$),
we get~$0=y_2-y_1$, and so~$y_1=y_2$.
Let~$y'\in C$ be given.
Recall that~$y$ is a (and thus the unique) projection of~$x$
on~$C$. It remains to be shown that
$\left<y',x-y\right>=0$.
Since~$y' \equiv y+y'-y$ is a projection
of $x':=x+y'-y$ on~$C$,
we get
\begin{equation*}
0\ =\ \left<y',x'-y'\right>\ \equiv \
\left<y',(x+y'-y)-y'\right>\ \equiv\ \left<y',x-y\right>.
\end{equation*}
\end{solution}
\begin{solution}{parsec-50.110}%
Let~$T\colon \scrH\to\scrK$
be a bounded linear map between Hilbert spaces
$\scrH$ and~$\scrK$.
We'll show that~$T$ is adjointable.
Let~$y \in \scrK$ be given.
Then~$\left<y,T(\,\cdot\,)\right>\colon \scrH\to\C$
is a linear map,
bounded by $\|y\|\|T\|$,
because $\left|\left<y,Tx\right>\right|\leq
\|y\|\, \|Tx\|\leq \|y\|\,\|T\|\,\|x\|$
for all~$x\in \scrH$.
Thus $\left<y,T(\,\cdot\,)\right>\equiv \left<Sy,\,\cdot\,\right>$
for some unique $Sy\in \scrH$ by~\sref{parsec-50.90}.
The resulting map~$S\colon \scrK\to\scrH$
is linear, because
\begin{alignat*}{3}
\left<S(y_1+\lambda y_2),\,\cdot\,\right>
&=\ \left< y_1+\lambda y_2, T(\,\cdot\,)\right>
\ =\ \left<y_1,T(\,\cdot\,)\right> +
\bar\lambda\left<y_2,T(\,\cdot\,)\right>\\
\ &=\ \left<Sy_1,\,\cdot\,\right> +
\bar\lambda\left<Sy_2,\,\cdot\,\right>
\ =\ \left<(Sy_1+\lambda Sy_2),\,\cdot\,\right>,
\end{alignat*}
for all $y_1,y_2\in\scrK$ and~$\lambda\in\C$.
Since $\left<Sy,x\right>=\left<y,Tx\right>$
for all~$x\in\scrH$ and~$y\in\scrK$,
$S$ is adjoint to~$T$ (and~$T$ is adjoint to~$S$).
Finally, note that~$S$ is bounded by~$\|T\|$,
because
$\|Sy\|^2 = \left<Sy,Sy\right>
= \left<y,TSy\right>
\leq \|y\|\,\|T\|\,\|Sy\|$,
and so~$\|Sy\|\leq \|y\|\|T\|$,
for all~$y\in\scrK$.
\end{solution}
\begin{solution}{parsec-70.30}
Let~$a$ be an element of a $C^*$-algebra~$\scrA$.
\begin{enumerate}
\item[1.]
$\Real{a}$ is self-adjoint, because
$(\Real{a})^*
= \frac{1}{2}(a^{*}+a^{**}) = \frac{1}{2}(a^*+a) = \Real{a}$.
To see that~$\Imag{a}$ is self-adjoint, recall
that $\bar{i}=-i$,
so
$(\Imag{a})^*
= -\frac{1}{2i}(a^*-a)
= \Imag{a}$.
The identity $a=\Real{a}+i\Imag{a}$
follows from
$2(\Real{a}+i\Imag{a})
= a+a^* \,+\, (a-a^*)
= 2a$.
\item[2.]
Since $a^*=b^*+\bar{i}c^* =b-ic$,
we have $2\Real{a}=a+a^* = b+ic\,+\,b-ic = 2b$,
and $2i\Imag{a} = a-a^* = b+ic \,-\, (b-ic) = 2ic$,
so~$\Real{a}=b$, and~$\Imag{a}=c$.
\item[3.]
Since $a^* = (\Real{a}+i\Imag{a})^*
= \Real{a} - i\Imag{a}$ by point~1,
we get $\Real{(a^*)}=\Real{a}$
and $\Imag{(a^*)} = -\Imag{a}$ by point~2.
\item[4.]
Indeed,
$a$ is self-adjoint iff~$a=a^*$
iff $a+a^*=2a$
iff $\Real{a} \equiv \frac{1}{2}(a+a^*) = a$
iff $a-a^* = 0$
iff $\Imag{a}\equiv \frac{1}{2i}(a-a^*) = 0$.
\item[5.]
$\Real{(\,\cdot\,)}$
and $\Imag{(\,\cdot\,)}$
are $\R$-linear,
because~$(\,\cdot\,)^*$
is $\R$-linear.
\item[6.]
Apply point~2 to
$ia = i(\Real{a}+i\Imag{a}) = \Imag{a}-i\Real{a}$.
\item[7.]
The element
$a^*a$ is self-adjoint,
because $(a^*a)^*=a^*a^{**}=a^*a$.
Further,
$a^*a = (\Real{a}-i\Imag{a})(\Real{a}+i\Imag{a})
= \Real{a}^2 + \Imag{a}^2 + i(\Real{a}\Imag{a}-\Imag{a}\Real{a})$.
\item[8.]
It suffices to find self-adjoint elements~$b$ and~$c$
of some~$C^*$-algebra~$\scrA$ with~$bc\neq cb$,
because then~$a:= b+ic$ will do the job.
Given any linearly independent vectors
$x$ and~$y$
from some Hilbert space~$\scrH$
with $\left<x,y\right>\neq 0$.
define~$b:=\ketbra{x}{x}$ and $c:=\ketbra{y}{y}$.
Then~$bc = \ketbra{x}{y}\,\left<x,y\right> $
and~$cb=\ketbra{y}{x}\,\left<y,x\right>$.
So if~$bc=cb$,
then~$\left|\left<x,y\right>\right|^2x = bcx
= cbx = \left<y,x\right>\|x\|^2y$,
contradicting the linear independence of~$x$ and~$y$.
\item[9.]
Combine point~3 and point~7.
\item[10.]
Indeed, $bc$ is self-adjoint
iff~$bc=(bc)^*\equiv c^*b^*\equiv cb$.
So~$x$ and~$y$ are non-orthogonal linearly independent vectors
of a Hilbert space~$\scrH$ as in point~8,
then~$\ketbra{x}{x}\ketbra{y}{y}\equiv \left<x,y\right>\,\ketbra{x}{y}$
is not self-adjoint.
\item[11.]
Surely, if~$a=0$,
then~$a^*=0$, and so~$\|a\|=0=\|a^*\|$.
So we may assume that~$a\neq 0$
(and so~$a^*\neq 0$).
Then, since~$\|a\|^2=\|a^*a\|\leq \|a^*\|\,\|a\|$,
we have $\|a\|\leq \|a^*\|$.
Since similarly $\|a^*\|\leq \|a\|$,
we get~$\|a\|=\|a^*\|$.
\item[12.]
Note that
$\|\Real{a}\|\leq
\frac{1}{2}\|a\|+\frac{1}{2}\|a^*\|
= \|a\|$
and $\|\Imag{a}\|\leq
\frac{1}{2}\|a\| + \frac{1}{2}\|a^*\|
= \|a\|$
by the triangle inequality and $\|a^*\|=\|a\|$.
\item[13.]
When~$a$ is self-adjoint,
$\|a^2\| = \|a^*a\| = \|a\|^2$.
Let~$x$ and~$y$ be non-zero orthogonal vectors
from some Hilbert space~$\scrH$.
Then~$\ketbra{x}{y}^2 = 0$, and so~$\|\ketbra{x}{y}^2\|=0$,
while $\|\ketbra{x}{y}\|^2 = \|x\|^2\|y\|^2$
(see~\sref{parsec-40.190}) is non-zero.
\end{enumerate}
\end{solution}
\begin{solution}{parsec-80.20}
For the sake of clarity,
we'll denote the zero and unit of a $C^*$-algebra~$\scrA$
in this exercise
by~$0_\scrA$ and~$1_\scrA$, respectively.
\begin{enumerate}
\item
Since~$0_\scrA=1_\scrA$ when~$\scrA=\{0_\scrA\}$,
then also $0_\C=\|0_\scrA\|=\|1_\scrA\|$.
\item
We claim that~$\|1_\scrA\|\leq 1_\C$.
Indeed, since $\|1_\scrA\|=\|1_\scrA^*1_\scrA\|=\|1_\scrA\|^2$,
we either have $\|1_\scrA\|=1_\C$
or $\|1_\scrA\|=0_\C$.
In either case, $\|1_\scrA\|\leq 1_\C$.
Thus $\|\lambda 1_\scrA\| = \left|\lambda\right|\|1_\scrA\|\leq
\left|\lambda\right|$, in~$\C$.
\item
Since $\|\lambda 1_\scrA\|1_\scrA
= \left|\lambda\right| \,\|1_\scrA\|\, 1_\scrA$,
it suffices to show that $\|1_\scrA\|\, 1_\scrA = 1_\scrA$,
that is, that $\left| 1_\C-\|1_\scrA\|\right|\,\|1_\scrA\| =0$.
But as we already saw that~$\|1_\scrA\|$
is equal to either~$1_\C$ or~$0_\C$,
this is indeed the case.
\end{enumerate}
\end{solution}
\begin{solution}{parsec-90.20}
Showing that the first three points are equivalent is not too difficult.