I'm a severely visually handicapped student of mathematics. I wonder how I can speed up my latex document creation.
I'm pasting below solution to a problem in a functional analysis book by Kreyszig. This is a question that I yesterday posted on the Maths SE site also. It's been quite stressful on my body to type it all up and remove syntactical errors that I encountered while compiling my work from time to time.
Can anyone please advise me on how I can improve my efficiency and how I can make use of the assistive technology available for the blind and visually impaired during my mathematics studies, and for creating such mathematical content myself?
Prob. 2.7-10
On $C[0,1]$ define $S$ and $T$ by
$$
y(s) = \ s \int_0^1 \ x(t) \ \mathrm{d} t \ \ \ \ \ \ \ \ \ y(s) \ = \ s x(s),
$$
respectively. Do $S$ and $T$ commute? Find $\Vert S \Vert$, $\Vert T \Vert$, $\Vert ST \Vert$ and $\Vert TS \Vert$.
Solution
Recall that $C[0,1]$ denotes the normed space of all (real- or complex-valued) functions defined and continuous on the closed unit interval $[0,1]$ of the real line $\mathbb{R}$, with the norm defined by
$$
\Vert x \Vert_{C[0,1]} \colon= \max_{t\in[0,1]} \vert x(t) \vert \ \ \ \mbox{ for all } \ x \in C[0,1].
$$
Let $K$ denote either $\mathbb{R}$ or $\mathbb{C}$.
The operator $S \colon C[0,1] \to C[0,1]$ is defined as follows: for each $x \in C[0,1]$, let the map $S(x)
\colon [0,1] \to K$ be defined by
$$
\left( S(x) \right) (s) \ \colon= \ s \int_0^1 x(t) \, \mathrm{d} t \ \ \
\mbox{ for all } \ s \in [0,1].
$$
And, the operator $T \colon C[0,1] \to C[0,1]$ is defined as follows: for each $x \in C[0,1]$, let the map
$T(x) \colon [0,1] \to K$ be defined by
$$
\left( T(x) \right) (s) \ \colon= \ s \cdot x(s) \ \ \
\mbox{ for all } \ s \in [0,1].
$$
By $ST$ and $TS$, Kreyszig intends the composite maps $S \circ T$ and $T \circ S$, respectively. Thus $S$ and $T$ commute if and only if the maps $S \circ T$ and $T \circ S$ are equal.
For any $x \in C[0,1]$, the map $\left( S \circ T \right) (x) \colon [0,1] \to K$ is computed as follows:
\begin{eqnarray*}
\left( \left( S \circ T \right) (x) \right) (s)
&=& \left( \ S \left( T (x) \right) \ \right) (s) \\
&=& S(sx(s)) \ \ \ \mbox{ [We apply $T$ first, followed by $S$. ] } \\
&=& s \int_0^1 tx(t) \ \mathrm{d} t \ \ \
\mbox{ for all } \ s \in [0,1],
\end{eqnarray*}
while the map $\left( T \circ S \right) (x) \colon [0,1] \to K$ is computed as follows:
\begin{eqnarray*}
\left( \left( T \circ S \right) (x) \right) (s)
&=& \left( \ T \left( S (x) \right) \ \right) (s) \\
&=& T\left(s \int_0^1 \ x(t) \ \mathrm{d} t \ \right) \ \ \ \mbox{ [We first apply $S$ and then $T$.]} \\
&=& s^2 \int_0^1 \ x(t) \ \mathrm{d} t \ \ \
\mbox{ for all } \ s \in [0,1].
\end{eqnarray*}
Thus, $T \circ S \neq S \circ T$ because for the point $x_0 \in C[0,1]$, where $x_0 \colon [0,1] \to K$ is defined as $x_0(t) \colon= 1$ for all $t \in [0,1]$, we see that,
$$
\left( \left( T \circ S \right) (x_0) \right) (s) = s^2 \int_0^1 \ 1 \ \mathrm{d} t
= s^2 \ \ \ \mbox{ for all } \ s \in [0,1],
$$
whereas
$$
\left( \left( S \circ T \right) (x_0) \right) (s) = s \int_0^1 \ t \ \mathrm{d} t
= \frac{s}{2} \ \ \ \mbox{ for all } \ s \in [0,1];
$$
Now $s^2 = s/2$ if and only if $s = 1/2$ or $s=0$;
thus if $s \neq 1/2$ and $s \neq 0$, then
$$
\left( \left( S \circ T \right) (x_0) \right) (s) \ \not= \ \left( \left( T \circ S \right) (x_0) \right) (s). $$
Hence $S$ and $T$ do not commute.
Before we compute the norms, we mention a couple of results from integration theory.
\subsubsection*{Result 1}
Let $f$ be a real or complex-valued function defined and continuous on a closed interval $[a,b]$. Then
the integral $\int_a^b \ f(t) \ \mathrm{d} t $ exists.
Refer to Theorem 6.8 in \textit{Principles of Mathematical Analysis} by Walter Rudin, 3rd edition. We have already used this result.
Now we are also going to use the following two results:
\subsubsection*{Result 2}
If $f$ and $g$ are two real-valued functions integrable on $[a,b]$ such that $f(t) \leq g(t)$ for all $t \in [a,b]$, then we also have $\int_a^b \ f(t) \ \mathrm{d} t \ \leq \ \int_a^b \ g(t) \ \mathrm{d} t \ $.
Refer to Theorem 6.12(b) in \textit{Principles of Mathematical Analysis} by Walter Rudin, 3rd edition.
\subsubsection*{Result 3}
If $f$ is a real or complex-valued function defined on a closed interval $[a,b]$ such that $\int_a^b \ f(t) \ \mathrm{d} t $ exists, then the integral $\int_a^b \ \vert f(t) \vert \ \mathrm{d} t $ exists too and we also have the inequality
$$
\left\vert \ \int_a^b \ f(t) \ \mathrm{d} t \ \right\vert
\ \leq \ \int_a^b \ \vert f(t) \vert \ \mathrm{d} t.
$$
Refer to Theorem 6.13(b) in \textit{Principles of Mathematical Analysis} by Walter Rudin, 3rd edition.
To compute the norms, we see that, for any $x \in C[0,1]$,
\begin{eqnarray*}
\Vert S(x) \Vert_{C[0,1]}
&=& \max_{s \in [0,1]} \left\vert \left( S (x) \right) (s) \right\vert \\
&=& \max_{s\in [0,1]} \left\vert s \int_0^1 \ x(t) \ \mathrm{d} t \right\vert \\
&=& \max_{s \in [0,1]} \left( \vert s \vert \ \cdot \ \left\vert \int_0^1 \ x(t) \ \mathrm{d} t \right\vert \right) \\
&=& \left( \max_{s\in[0,1]} \vert s \vert \right) \ \cdot \ \left\vert \int_0^1 \ x(t) \ \mathrm{d} t \right\vert \\
&=& 1 \ \cdot \ \left\vert \int_0^1 \ x(t) \ \mathrm{d} t \right\vert \\
&\leq& \int_0^1 \ \vert x(t) \vert \ \mathrm{d} t \\
&\leq & \int_0^1 \ \max_{\tau\in[0,1]} \vert x(\tau) \vert \ \mathrm{d} t \\
&=& \int_0^1 \ \Vert x \Vert_{C[0,1]} \ \mathrm{d} t \\
&=& \Vert x \Vert_{C[0,1]} \ \int_0^1 \ \mathrm{d} t \\
&=& \Vert x \Vert_{C[0,1]}.
\end{eqnarray*}
So, the operator $S$ is bounded, by Definition 2.7-1 in Kreyszig.
Now, from the last relation (upon division on both sides by $\Vert x \Vert_{C[0,1]}$), we conclude that, for all non-zero $x \in C[0,1]$,
$$
\frac{\Vert S(x) \Vert_{C[0,1]}}{\Vert x \Vert_{C[0,1]}} \leq 1;
$$
thus the real number $1$ is an upper bound of the following subset of $\mathbb{R}$:
$$
\left\{ \ \frac{\Vert S(x) \Vert_{C[0,1]}}{\Vert x \Vert_{C[0,1]}} \ \colon \ x \in C[0, 1] \ x \neq \theta_{C[0,1]} \ \right\}.
$$
where $ \theta_{C[0,1]} $ denotes the "zero vector" in $C[0,1]$ (i.e. the zero function defined on $[0,1]$ ).
and since $\Vert S \Vert$ is by definition the supremum (or least upper bound) of this set, therefore
\begin{equation}
\Vert S \Vert \leq 1. \ \label{2.7-10-1}
\end{equation}
But for $x_0 \in C[0,1]$ such that $x_0(t) \colon= 1$ for all $t \in [0,1]$, we see that
$$
\Vert x_0 \Vert_{C[0,1]} = \max_{t\in[0,1]} \vert x_0(t) \vert = 1.
$$
Moreover the map $S(x_0) \colon [0,1] \to K$ is given by
$$
\left( S(x_0) \right) (s) \ = \ s \ \int_0^1 \ x_0(t) \ \mathrm{d} t \ = \
s \ \int_0^1 \ 1 \ \mathrm{d} t \ = \ s \ \ \ \mbox{ for all } \ s \in [0,1].
$$
That is, the map $S(x_0) \colon [0,1] \to K$ is given by
$$
\left( S(x_0) \right) (s) \ = \ s \ \ \ \mbox{ for all } \ s \in [0,1].
$$
So,
$$
\left\Vert S(x_0) \right\Vert_{C[0,1]} = \max_{s\in[0,1]} \left\vert \left( S(x_0) \right) (s) \right\vert = \max_{s\in[0,1]} \vert s \vert = 1.
$$
But by definition of the norm $\Vert S \Vert$, we also have
\begin{equation}
\Vert S \Vert \geq \frac{\left\Vert S(x_0) \right\Vert_{C[0,1]}}{\Vert x_0 \Vert_{C[0,1]}} = \frac{1}{1}
= 1.
\label{2.7-10-2}
\end{equation}
Hence from (\ref{2.7-10-1}) and (\ref{2.7-10-2}), we conclude that
$$
\Vert S \Vert = 1.
$$
Now, for any $x \in C[0,1]$, we have
\begin{eqnarray*}
\Vert T(x) \Vert_{C[0,1]}
&=& \max_{s \in [0,1]} \left\vert \left( T(x) \right) (s) \right\vert \\
&=& \max_{s\in[0,1]} \vert s x(s) \vert \\
&=& \max_{s\in[0,1]} \left(\ \vert s \vert \ \vert x(s) \vert \ \right) \\
&\leq& \max_{s\in[0,1]} \vert x(s) \vert \\
&=& \Vert x \Vert_{C[0,1]},
\end{eqnarray*}
which shows that $T$ is bounded, and upon taking the supremum over all $x \in C[0,1]$ such that
$\Vert x \Vert_{C[0,1]} = 1$, we obtain
\begin{equation}
\Vert T \Vert \leq 1.
\label{2.7-10-3}
\end{equation}
But for the point $x_0 \in C[0, 1]$, where $x_0 \colon [0,1] \to K$ is defined as \newline
$x_0(t) \colon= 1$ for all $t \in [0,1]$, we see as before that
$$
\Vert x_0 \Vert_{C[0,1]} = 1.
$$
And the map $T(x_0) \colon [0,1] \to K$ is given by
$$
\left( T(x_0) \right) (s) \ = \ s x_0(s) = s \ \ \ \mbox{ for all } \ s \in [0,1].
$$
So
$$
\Vert T(x_0) \Vert_{C[0,1]} \ = \ \max_{s\in [0,1]} \left\vert \ \left( T(x_0) \right) (s) \ \right\vert
\ = \ \max_{s\in [0,1]} \vert s \vert = 1,
$$
and therefore by definition
\begin{equation}
\Vert T \Vert \ \geq \ \frac{\Vert T(x_0) \Vert_{C[0,1]} }{ \Vert x_0 \Vert_{C[0,1]} } = \frac{1}{1} = 1.
\label{2.7-10-4}
\end{equation}
Hence (\ref{2.7-10-3}) and (\ref{2.7-10-4}) together yield
$$
\Vert T \Vert = 1.
$$
Now comes the turn of finding the norms of the composite operators. Since both $S$ and $T$ are bounded linear operators [Verify the linearity of $S$ and $T$ for yourself.], we can conclude that both $S \circ T$ and $T \circ S$ are linear and bounded operators, by Problem 2.6-6 and Problem 2.7-7 above.
We now show directly the boundedness of these composite operators and find their norms. We have found earlier in this solution that, for each $x \in C[0,1]$, the maps $\left( S \circ T \right) (x) \colon [0,1] \to K$ and $\left( T \circ S \right) (x) \colon [0,1] \to K$ are given, respectively by
\begin{equation}
\left( \ \left( S \circ T \right) (x) \ \right) (s) \ = \ s \ \int_0^1 \ t x(t) \ \mathrm{d} t
\ \ \ \mbox{ for all } \ s \in [0, 1],
\label{2.7-10-5}
\end{equation}
and
\begin{equation}
\left( \ \left( T \circ S \right) (x) \ \right) (s) \ = \ s^2 \ \int_0^1 \ x(t) \ \mathrm{d} t
\ \ \ \mbox{ for all } \ s \in [0, 1].
\label{2.7-10-6}
\end{equation}
So
\begin{eqnarray*}
\left\Vert \left( \ \left( S \circ T \right) (x) \ \right) \right\Vert_{C[0,1]}
&=& \max_{s \in [0,1]} \left\vert \ \left( \ \left( S \circ T \right) (x) \ \right) (s) \ \right\vert \\
&=& \max_{s \in [0,1]} \left\vert \ s \ \int_0^1 \ t x(t) \ \mathrm{d} t
\ \right\vert \\
&=& \max_{s \in [0,1]} \left( \ \vert s \vert \ \left\vert \int_0^1 \ t x(t) \ \mathrm{d} t
\ \right\vert \ \right) \\
&=& \left( \max_{s \in [0,1]} \vert s \vert \right) \ \left\vert \ \int_0^1 \ t x(t) \ \mathrm{d} t
\ \right\vert \\
&=& \left\vert \ \int_0^1 \ t x(t) \ \mathrm{d} t
\ \right\vert \\
&\leq & \int_0^1 \ \left\vert \ t x(t) \ \right\vert \ \mathrm{d} t \\
&=& \int_0^1 \ \left( \ \vert t \vert \ \vert x(t) \vert \ \right) \ \mathrm{d} t \\
&\leq& \int_0^1 \ \left( \ \vert t \vert \ \left( \max_{\tau \in [0,1]} \vert x(\tau) \vert \right) \ \right) \ \mathrm{d} t \\
&=& \int_0^1 \ \left( \ \vert t \vert \ \Vert x \Vert_{C[0,1]} \ \right) \ \mathrm{d} t \\
&=& \Vert x \Vert_{C[0,1]} \ \int_0^1 \ \vert t \vert \ \mathrm{d} t \\
&=& \Vert x \Vert_{C[0,1]} \ \int_0^1 \ t \ \mathrm{d} t \\
&=& \frac{1}{2} \Vert x \Vert_{C[0,1]} \ \ \ \mbox{ for all } \ x \in C[0,1],
\end{eqnarray*}
which shows that the operator $S \circ T$ is bounded and upon taking the supremum over all $x \in C[0,1]$ of norm one, we obtain
\begin{equation}
\Vert S \circ T \Vert \leq \frac{1}{2}.
\label{2.7-10-7}
\end{equation}
Now for the point $x_0 \in C[0,1]$ such that $x_0(t) \colon= 1$ for all $t \in [0,1]$, we have seen earlier on in this solution that the map $\left( S \circ T \right) (x_0) \colon [0,1] \to K$ is given by
$$
\left( \ \left( S \circ T \right) (x_0) \ \right) (s) = \frac{s}{2} \ \ \
\mbox{ for all } \ s \in [0,1].
$$
So
\begin{eqnarray*}
\left\Vert \ \left( \ S \circ T \ \right) (x_0) \ \right\Vert_{C[0,1]}
&=& \max_{s \in [0,1]} \left\vert \ \left( \ \left( \ S \circ T \ \right) (x_0) \ \right) (s) \ \right\vert \\
&=& \max_{s \in [0,1]} \left\vert \ \frac{s}{2} \ \right\vert \\
&=& \max_{s \in [0,1]} \frac{s}{2} \\
&=& \frac{1}{2},
\end{eqnarray*}
and $\Vert x_0 \Vert_{C[0,1]} = 1$. So we have
\begin{equation}
\Vert S \circ T \Vert \ \geq \ \frac{\left\Vert \ \left( \ S \circ T \ \right) (x_0) \ \right\Vert_{C[0,1]} }{\Vert x_0 \Vert_{C[0,1]} } \ = \frac{ 1/2 }{1} = \frac{1}{2}.
\label{2.7-10-8}
\end{equation}
Therefore (\ref{2.7-10-7}) and (\ref{2.7-10-8}) together yield
$$ \Vert S \circ T \Vert = \frac{1}{2}. $$
Now using (\ref{2.7-10-6}), we see that
\begin{eqnarray*}
\left\Vert \ \left( T \circ S \right) (x) \ \right\Vert_{C[0,1]}
&=& \max_{s \in [0,1]} \left\vert \ \left( \ \left( T \circ S \right) (x) \ \right) (s) \ \right\vert \\
&=& \max_{s \in [0,1]} \left\vert \ s^2 \ \int_0^1 \ x(t) \ \mathrm{d} t \ \right\vert \\
&=& \max_{s \in [0,1]} \left( \ \vert s^2 \vert \ \left\vert \ \int_0^1 \ x(t) \ \mathrm{d} t \ \right\vert \ \right) \\
&=& \left( \ \max_{s \in [0,1]} \vert s^2 \vert \ \right) \ \left\vert \ \int_0^1 \ x(t) \ \mathrm{d} t \ \right\vert \\
&=& \left\vert \ \int_0^1 \ x(t) \ \mathrm{d} t \ \right\vert \\
&\leq & \int_0^1 \ \vert x(t) \vert \ \mathrm{d} t \\
&\leq& \int_0^1 \ \max_{\tau \in [0,1]} \vert x(\tau) \vert \ \mathrm{d} t \\
&=& \int_0^1 \ \Vert x \Vert_{C[0,1]} \ \mathrm{d} t \\
&=& \Vert x \Vert_{C[0,1]} \ \int_0^1 \ \mathrm{d} t \\
&=& \Vert x \Vert_{C[0,1]} \ \ \ \mbox{ for all } \ x \in C[0,1],
\end{eqnarray*}
showing that $T \circ S$ is bounded and it also follows that
\begin{equation}\label{2.7-10-9}
\Vert T \circ S \Vert \leq 1.
\end{equation}
Now for the point $x_0 \in C[0,1]$, where $x_0(t) \colon = 1$ for all $t \in [0,1]$, we have shown earlier that the map $\left( \ T \circ S \ \right) (x_0) \colon [0,1] \to K$ is given by
$$
\left( \ \left( \ T \circ S \ \right) (x_0) \ \right) (s) \ = \ s^2 \ \ \
\mbox{ for all } \ s \in [0,1].
$$
So
\begin{eqnarray*}
\left\Vert \ \left( \ T \circ S \ \right) (x_0) \ \right\Vert_{C[0,1]}
&=& \max_{s \in [0,1]} \left\vert \ \left( \ \left( \ T \circ S \ \right) (x_0) \ \right) (s) \ \ \right\vert \\
&=& \max_{s \in [0,1]} \vert s^2 \vert \\
&=& 1 \\
&=& \Vert x_0 \Vert_{C[0,1]}.
\end{eqnarray*}
Therefore
$$
\Vert T \circ S \Vert \ \geq \ \frac{ \left\Vert \ \left( \ T \circ S \ \right) (x_0) \ \right\Vert_{C[0,1]} }{ \Vert x_0 \Vert_{C[0,1]} } \ = \ \frac{1}{1} = 1,
$$
which along with (\ref{2.7-10-9}) implies that
$$
\Vert T \circ S \Vert = 1.
$$
\newcommand\myforall{ \ \ \ \mbox{ for all } \
since you use that several times at the start. Another advantage of using such macros is the ability to change all instances in just a single location.