Add source cap cut to medial tire figures
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@@ -289,6 +289,13 @@ We label tread by tread, outward from the root:
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within the child as in Definition~\ref{def:walk-depth-cut}.
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\end{itemize}
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The source cap contributes one additional cut before the recognised
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treads are assembled. If the root tread enters at an up tooth whose apex
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is the cap down tooth $xy$, we cut the cap annular vertex corresponding
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to the counter-clockwise source edge incident to $xy$. In the example of
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Figure~\ref{fig:whole-medial}, the root entry apex is the cap down tooth
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$14\!-\!4$, so the cap cut is placed at the medial vertex $14\!-\!5$.
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\begin{remark}[Candidate down teeth for chaining]
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\label{rem:chaining-candidates}
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The down teeth eligible to fix a child's entry are exactly the
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@@ -387,28 +394,35 @@ tooth carries its walk depth; the red slits are the two cuts.}
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\label{fig:real-cut}
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\end{figure}
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The same data sit inside the whole medial graph $M(G)$.
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Figure~\ref{fig:whole-medial} draws all of $M(G)$ for the graph of
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Example~\ref{ex:real-cut}, with the tread $T_2$ of
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Figure~\ref{fig:real-cut} highlighted in place: its annular medial cycle
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in black, its up and down teeth in blue and red carrying their walk
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depths, and the remaining medial vertices---those outside any recognised
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tire---in grey. This is the assembled cut graph emitted by the
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experiment: every recognised tread contributes its cuts, and the tire
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pieces are glued to the rest of $M(G)$ along their boundary medial
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vertices.
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Figure~\ref{fig:whole-medial} repeats the whole-medial-graph drawing on a
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random maximal planar graph on $20$ vertices with minimum degree $5$
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(plantri seed $59$, level source vertex $5$). The experiment recognises
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two full medial tire treads, $T_1$ and $T_2$, and produces seven cuts:
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one source-cap cut and six full-tread cuts. The
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top panel shows the source triangulation with its level source
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highlighted; the bottom panel draws $M(G)$ on the same straight-line
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embedding by placing each medial vertex at the midpoint of its
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corresponding source edge. Every medial vertex is labelled by that source
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edge. Black vertices correspond to source edges joining consecutive
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levels, and coloured vertices correspond to source edges within one level.
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The red-highlighted vertices, walk-depth labels, and red slits are the
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computed full-medial-tire labelling and cuts.
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\begin{figure}[h]
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\centering
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\input{whole_medial_seed72.tikz}
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\caption{The whole medial graph $M(G)$ of the random maximal planar graph
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on $20$ vertices from Example~\ref{ex:real-cut}, with all tire cuts
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applied. Grey vertices are medial vertices outside any recognised tire;
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the highlighted tread $T_2$ (cf.\ Figure~\ref{fig:real-cut}) has black
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annular medial vertices, blue up-tooth and red down-tooth apexes carrying
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their walk depths, and the larger red vertex is the bite apex. Drawn by
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\texttt{experiments/draw\_medial\_tire\_cut.py} with the \texttt{--whole}
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option.}
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\input{whole_medial_seed59_min5.tikz}
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\caption{The source graph $G$ and the whole medial graph $M(G)$ of the
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minimum-degree-$5$ maximal planar graph on $20$ vertices generated by
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\texttt{plantri -m5} at seed $59$. The source vertex $5$ is highlighted
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in the top panel. In the bottom panel, each medial vertex is placed at
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the midpoint of its corresponding source edge and labelled by that edge.
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Black vertices come from source edges between consecutive levels; coloured
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vertices come from source edges within a single level of the chain. The
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red-highlighted vertices, walk-depth labels, and seven red slits are the
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computed source-cap cut and full-medial-tire labelling cuts for the
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recognised treads $T_1$ and $T_2$. Drawn by
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\texttt{experiments/draw\_medial\_tire\_cut.py} with
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\texttt{--whole --min-degree 5}.}
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\label{fig:whole-medial}
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\end{figure}
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