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inputs/tutorial_10.tex
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inputs/tutorial_10.tex
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\tutorial{10}{2023-12-19}{Sheet 9}
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\subsection{Sheet 9}
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\nr 1
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$(X, \tau') \xrightarrow{x \mapsto x} (X, \tau)$ is Borel
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(by one of the equivalent definitions of being Borel).
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Thus $\cB(X, \tau) \subseteq \cB(X, \tau')$
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(by the other equivalent definition of being Borel).
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Let $U \subseteq (X, \tau')$ be Borel.
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$\id\defon{U}$ is injective,
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hence $U$ is Borel in $(X, \tau)$ by Lusin-Suslin.
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\paragraph{Related stuff}
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\begin{fact}
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Let $X,Y$ be Polish.
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$f\colon X \to Y$
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is Borel iff its graph $\Gamma_f$ is Borel.
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\end{fact}
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\begin{proof}
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Take a countable open base
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$V_0, V_1, \ldots$ of $Y$.
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Then $\Gamma_f = \{(x,y) : \forall n < \omega.~f(x) \in V_n \implies y \in V_n\}$
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(because the space is Hausdorff).
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If $f$ is Borel,
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then clearly the RHS is Borel
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since
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\begin{IEEEeqnarray*}{rCl}
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&&\{(x,y) : \forall n < \omega.~f(x) \in V_n \implies y \in V_n\}\\
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&=& \bigcap_{n < \omega} (f^{-1}(V_n)^{c}Y \cup f^{-1}(V_n) \times V_n\}\\
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\end{IEEEeqnarray*}
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On the other hand suppose that $\Gamma_f$ is Borel.
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Then
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\[
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f^{-1}(B) = \pi_X(X \times B \cap \Gamma_f)
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\]
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is analytic.\footnote{Note that the projection of a Borel set is not necessarily Borel.
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Moreover note that we only used that $\Gamma_f$ is analytic.}
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On the other hand
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\[
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f^{-1}(B)^c = f^{-1}(B^c)
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\]
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is analytic
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and we know that $\Sigma_1^1 \cap \Pi_1^1 = \cB$
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by the \yaref{cor:lusinseparation}.
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\end{proof}
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In fact we have shown
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\begin{fact}
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The following are equivalent
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\begin{itemize}
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\item $f$ is Borel,
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\item $\Gamma_f$ is Borel,
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\item $\Gamma_f$ is analytic.
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\end{itemize}
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\end{fact}
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\nr 2
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\begin{definition}
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Let $X$ be a topological space.
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Let $K(X)$ be the set of all compact subspaces of $X$.
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The \vocab{Vietoris Topology}, $\tau_V$, on $K(X)$
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is the topology with basic open sets
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\[
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[U_0; U_1, \ldots, U_n] = \{K \in K(X) : K \subseteq U_0 \land \forall 1 \le i \le n .~K \cap U_i \neq \emptyset\}
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\]
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for $U_i \overset{\text{open}}{\subseteq} X$.
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\end{definition}
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\begin{definition}
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Let $(X,d)$ be a matric space with $d \le 1$.
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We define a metric $d_H$ on $K(X)$ as follows:
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$d_H(\emptyset, \emptyset) \coloneqq 0$, $d_H(K, \emptyset) \coloneqq 1$ for $K \neq \emptyset$
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and
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\[
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d_H(K_0, K_1) \coloneqq \max \{\max_{x \in K_0} d(x,K_1), \max_{x \in K_1} d(x,K_0)\}
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\]
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for $K_0, K_1 \neq \emptyset$.
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\end{definition}
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\begin{fact}
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$d_H$ is indeed a metric.
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\end{fact}
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\begin{proof}
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Let $\delta(K, L) \coloneqq \max_{x \in K} d(x,L)$.
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It suffices to show
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$\delta(X,Z) \le \delta(X,Y) + \delta(Y,Z)$,
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since then
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\begin{IEEEeqnarray*}{rCl}
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d_H(X,Z) &\le & \max \{\delta(X,Y) + \delta(Y,Z), \delta(Z,Y) + \delta(Y,X)\}\\
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&\le & d_H(X,Y) + d_H(Y,Z).
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\end{IEEEeqnarray*}
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Using the fact that $d(\cdot , Z)$ is uniformly continuous,
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specifically
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\[
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|d(x,Z) - d(y,Z)| \le d(x,y), % TODO REF SHEET 1
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\]
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we get
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\begin{IEEEeqnarray*}{lrCl}
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&d(x,Z) &\le & d(x,y) + d(y, Z)\\
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& &\le & d(x,y) + \delta(Y,Z)\\
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\implies& d(x,Z) - \delta(Y,Z) &\le & d(x,Y)\\
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\implies& d(x,Z) &\le & \delta(X,Y) + \delta(Y,Z)\\
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\implies & \delta(X,Z) &\le & \delta(X,Y) + \delta(Y,Z).
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\end{IEEEeqnarray*}
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\end{proof}
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\begin{itemize}
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\item We have
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\begin{IEEEeqnarray*}{rCl}
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d_H(K_0, K_1) < \epsilon & \iff & \max \{\max_{x \in K_0}d(x, K_1), \max_{x \in K_1} d(x,K_0)\} < \epsilon\\
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&\iff& \max_{x \in K_0} d(x, K_1) < \epsilon \land \max_{x \in K_1} d(x, K_0) < \epsilon\\
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&\iff& K_0 \subseteq B_{\epsilon}(K_1) \land K_1 \subseteq B_\epsilon(K_0).
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\end{IEEEeqnarray*}
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\item Note that a subbase of $\tau_V$
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is given by $[U]$ and $\langle U \rangle \coloneqq [X;U]$ for $U \overset{\text{open}}{\subseteq} X$.
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Let $K \in [U]$.
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Then $d(\cdot , U^c)\colon U \to \R_{\ge 0}$
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is always non-zero and continuous.
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So $d(K,U^c)$ attains a minimum $\epsilon > 0$.
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Then $B_{\epsilon}^H_\epsilon(K) \subseteq U$,
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so $[U]$ is open in $\tau_V$.
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Let $K \in \langle U \rangle$.
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Take some $k \in K \cap U$.
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Then there is some $\epsilon > 0$
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such that $B_\epsilon(k) \subseteq U$.
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Then $K \in B_{\epsilon}^H(K) \subseteq \langle U \rangle$.
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\todo{Other direction}
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% $\tau_H \subseteq \tau_V$
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\item Consider a countable dense subset of $X$.
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Let $\cK$ be the set of finite subsets of that countable dense subset.
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Then $\cK \subseteq K(X)$ is dense:
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Take $K \in K(X)$ an let $\epsilon > 0$.
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$K$ can be covered with finitely many $\epsilon$-balls
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with centers from the countable dense subsets.
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Let $K' \in \cK$ be the set of the centers.
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Then $d_H(K, K') \le \epsilon$.
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\end{itemize}
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\nr 3
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\begin{itemize}
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\item By transfinite induction we get that $\alpha$ is an ordinal,
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since $\prec$ is well-founded and the supremum of a sets
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of ordinals is an ordinal.
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Since $\rho_{\prec}\colon X \to \alpha$
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is a surjection, it follows that $\alpha \le |X|$,
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i.e.~$\alpha < |X|^+$.
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\item By induction on $\rho_{\prec_X}(x)$ we show that
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$\rho_{\prec_{X}}(x) \le \rho_{\prec_Y}(f(x))$.
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For $0$ this is trivial.
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Suppose that $\rho_{\prec_{X}}(x) = \alpha$
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and the statement was shown for all $\beta < \alpha$.
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Then
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\begin{IEEEeqnarray*}{rCl}
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\rho_{\prec_Y}(f(x)) &=& \sup \{\rho_{\prec_Y}(y') + 1 | y' \prec f(x)\}\\
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&\ge& \sup \{\rho_{\prec_Y}(f(x')) + 1 | f(x') \prec f(x)\}\\
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&\ge & \sup \{\rho_{\prec_Y}(f(x')) + 1 | x' \prec x\}\\
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&\ge & \sup \{\rho_{\prec_X}(x') + 1 | x' \prec x\}\\
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&=& \rho_{\prec_X}(x).
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\end{IEEEeqnarray*}
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\item Infinite branches of $T_\prec$ correspond
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to infinite descending chain of $\prec$,
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hence $T_{\prec}$ is well-founded iff $\prec$ is well-founded.
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% Unwarp$^{\text{tm}}$ definitions.
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Suppose that $\prec$ is well-founded.
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Note that $\rho_T(s)$ depends only on the last element of $s$,
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as for $s, s' \in T$ with the same last element,
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we have $s \concat x \in T \iff s' \concat x \in T$.
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Let $s = (s_0, \ldots, s_n)$.
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Let us show that $\rho_T(s) = \rho_{\prec}(s_n)$.
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We use induction on $\rho_T(s)$.
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For leaves this is immediate.
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From the last exercise sheet we know that
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\[
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\rho_T(s) = \sup \{\rho_T(s \concat a) + 1 | s \concat a \in T\}.
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\]
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Hence
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\begin{IEEEeqnarray*}{rCl}
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\rho_T(s) &=& \sup \{\rho_T(s \concat a) + 1 | s \concat a \in T\}\\
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&=& \sup \{\rho_{\prec}(a) + 1 | s \concat a \in T\}\\
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&=& \sup \{\rho_{\prec}(a) + 1 | a \prec s_n\}\\
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&=& \rho_\prec(s_n).
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\end{IEEEeqnarray*}
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\end{itemize}
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\nr 4
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\todo{Next time}
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@ -61,6 +61,7 @@
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\input{inputs/tutorial_07}
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\input{inputs/tutorial_07}
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\input{inputs/tutorial_08}
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\input{inputs/tutorial_08}
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\input{inputs/tutorial_09}
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\input{inputs/tutorial_09}
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\input{inputs/tutorial_10}
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\section{Facts}
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\section{Facts}
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\input{inputs/facts}
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\input{inputs/facts}
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