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MATH 202A final
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1 change: 1 addition & 0 deletions analysis--berkeley-202-all.tex
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\include{analysis--berkeley-202a-hw11}
\include{analysis--berkeley-202a-hw12}
\include{analysis--berkeley-202a-hw13}
\include{analysis--berkeley-202a-final}
\end{document}
158 changes: 158 additions & 0 deletions analysis--berkeley-202a-final.tex
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Expand Up @@ -30,26 +30,184 @@ \section*{Math 202A - Final Exam - Dan Davison - \texttt{[email protected]}}
\includegraphics[width=400pt]{img/analysis--berkeley-202a-final-04b9.png}
\end{mdframed}

\begin{theorem}[Bass proposition 8.1]\label{bass-8.1}
If $f$ is real-valued, non-negative, and measurable, and $\int f = 0$, then $f = 0$ a.e.
\end{theorem}

\begin{proof}
Let $f_n: [0, 1] \to \R$, $n \in \N$, converge to $f: [0, 1] \to \R$ in $L^1$. Thus, by definition,
\begin{align*}
\limninf \int |f_n - f| = 0.
\end{align*}
We want to prove or disprove the statement
\begin{align*}
\limn f_n = f \ae
\end{align*}
Suppose we could bring the limit inside. Then
\begin{align*}
\int \limninf |f_n - f| = 0,
\end{align*}
therefore by Bass proposition 8.1 $\limninf |f_n - f| = 0$ a.e. and thus $f_n$ converges almost everywhere to $f$.

But bringing the limit inside is justified by neither MCT nor DCT. So let's look for a counter-example based
on not satisfying DCT conditions.

\red{TODO}
\end{proof}

This is reminiscent of HW8 7.13

\begin{mdframed}
\includegraphics[width=400pt]{img/analysis--berkeley-202a-final-5921.png}
\end{mdframed}

\begin{mdframed}
\includegraphics[width=400pt]{img/analysis--berkeley-202a-final-96cc.png}
\end{mdframed}

\begin{proof}
Note that the integrand is non-negative.

We want a dominating function. What about $x^ne^{-x/2}$? Is this integrable? It's continuous so we can use
traditional Riemann / high-school integration techniques. I think it can be done by integration py parts and
induction/recurrence.

We may apply the DCT since the integrand is non-negative and bounded above by the integrable
function $x^ne^{-x/2}$. Therefore
\begin{align*}
\lim_{k \to \infty} \int_0^k x^n (1 - x/k)^k \dx
&= \int_0^k x^n \lim_{k \to \infty} (1 - x/k)^k \dx \\
&= \int_0^k x^n e^{-x} \dx \\
\end{align*}
\red{TODO} how am I dealing with the $k$ in the upper integral bound?
\end{proof}

\begin{minted}{wolfram} :results latex
Integrate[x^n * Exp[-x/2], {x, 0, Infinity}]
\end{minted}

\begin{align*}
\text{ConditionalExpression}\left[2^{n+1} \Gamma (n+1),\Re(n)>-1\right]
\end{align*}



\begin{mdframed}
\includegraphics[width=400pt]{img/analysis--berkeley-202a-final-c137.png}
\end{mdframed}

\begin{proof}
\red{TODO}
bound the integral above?
\end{proof}


\newpage
\begin{mdframed}
\includegraphics[width=400pt]{img/analysis--berkeley-202a-final-ef68.png}
\end{mdframed}

% I'm pretty sure how small r is should be independent of what x is, so you choose δ and r′ such that for every
% x and every r<r′, there exists y such that ...

% https://www.wikiwand.com/en/Porous_set
\begin{mdframed}
\includegraphics[width=400pt]{img/analysis--berkeley-202a-final-b463.png}
\end{mdframed}

\begin{proof}

Notice that in the definition, the same $\delta$ and $r_0$ work everywhere:

For every ball smaller than $r_0$, there exists a ball that is smaller still by a factor of $\delta$ that
fits in the first ball and avoids every point of $A$.

So consider an outer ball of size $r < r_0$. There exists an inner ball of size $\delta r$ that works.
Furthermore this inner ball works for all larger outer balls.
\end{proof}

\begin{claim}
The middle-thirds Cantor set is porous.

This implies that there exist uncountable porous sets, since the middle-thirds Cantor set is uncountable.
\end{claim}

\begin{proof}

\end{proof}

\begin{claim}
Every porous set has zero Lebesgue measure.
\end{claim}

\begin{proof}
We must show that every porous set can be covered by a set of arbitrarily small measure.
\end{proof}



\newpage
\begin{mdframed}
\includegraphics[width=400pt]{img/analysis--berkeley-202a-final-21a6.png}
\end{mdframed}

Let $m$ denote Lebesgue measure.

I am assuming that the question is saying that $\mu$ and $m$ are mutually singular with respect to the
Borel $\sigma$-algebra.

Intuition: in some sense this question is asking us to show that the Radon-Nikodym derivative does not exist,
because they are singular, which is sort of the opposite of absolutely continuous.

Intuition: $\mu$ assigns positive measure to a $m$-null set. Clearly we need to show that $\mu$ assigns greater
measure to certain intervals than $m$ does. Why is that true? Perhaps because the interval contains parts of
an $m$-null set.

In fact, $\mu$ only has positive measure on Lebesgue null sets. But $\mu$ does not assign positive measure to
every singleton, since $\mu$ is finite. If we could show that $\mu$-almost every $x$ is ``surrounded by an
arbitrarily small Lebesgue null set​'' that would do it. Perhaps the only way that makes sense is if
$\mu$-almost every $x$ is a singleton with positive measure under $\mu$. Can we show that?

$V$ contains no intervals, since it is Lebesgue-null. And $\mu(V) = L > 0$. This total measure $L$ is assigned
to Lebesgue-null sets in a countably additive manner.

\begin{mdframed}
\includegraphics[width=400pt]{img/analysis--berkeley-202a-final-fe0f.png}
\end{mdframed}

\begin{proof}
Since $\mu$ is singular with respect to Lebesgue measure, there exist disjoint Borel sets $U$ and $V$ such
that $U$ is $\mu$-null and $V$ is $m$-null, and $\R = U \union V$.

Let $0 < \mu(\R) = L < \infty$. We have
\begin{align*}
&\mu(U) = 0 & \mu(V) = L \\
&m(U) = \infty & m(V) = 0,
\end{align*}
since by countable additivity $\infty = m(\R) = m(U) + m(V) = m(U)$,
and $L = \mu(\R) = \mu(U) + \mu(V) = \mu(V)$.

Note that any property that holds for all $x \in V$ holds $\mu$-almost everywhere. So let $x \in V$. We would
like to show that
\begin{align*}
\lim_{\eps \searrow 0} \frac{\mu([x - \eps, x + \eps])}{2\eps} = +\infty.
\end{align*}
Let $\eps_n$ be a sequence converging to zero from above, let $I_n = [x - \eps_n, x + \eps_n]$, and
let $B > 0$. We would like to show that there exists $N$ such that $\frac{\mu(I_n)}{2\eps_n} > B$ for
all $n \geq N$.

We have $\mu(I_n) = \mu(I_n \isect V) + \mu(I_n \isect U) = \mu(I_n \isect V)$, since $U$ is a null set
under $\mu$. And since $x \in V$ we have $I_n \isect V \neq \emptyset$.

My intuition is that as the interval $I_n$ gets smaller, it becomes enriched for points of $V$, which
contribute positive measure to the numerator, and cause it to decrease more slowly than the denominator, in
such a way that, for small enough $\eps$, the ratio exceeds any positive quantity $B$.

If we could show that there exists $N$ and $l > 0$ such that $\mu(I_n) > l$ for all $n > N$ then we
would be done, but that may not be true.

I wonder whether we can discard a null set from $V$ so that our point $x$ is necessarily
\end{proof}
\newpage
\begin{mdframed}
\includegraphics[width=400pt]{img/analysis--berkeley-202a-final-246a.png}
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3 changes: 2 additions & 1 deletion analysis--berkeley-202a.tex
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Expand Up @@ -737,7 +737,8 @@ \subsubsection{Overview}
measure, so that it's no longer {\it all} subsets.

\item There are two candidates we could restrict to. One is the \defn{Borel} $\sigma$-algebra. This is the
$\sigma$-algebra generated by the open subsets.
$\sigma$-algebra generated by the open subsets. Note that it contains the singletons since these are
countable intersections.

\item However, there's a larger $\sigma$-algebra we can restrict to: the \defn{Lebesgue} $\sigma$-algebra. This is the class
of $\mu^*$-measurable sets. A set $A \subset \R$ is $\mu^*$-measurable if finite additivity holds between $A$
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