第10周。

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其中$u, v, w, x, y$称为\newnoun{顶点}{vertex},连接两个点的线段称为\newnoun{}{edge},它是一个包含了起点和终点的二元集合,如$\{u, v\}$,也简记为$uv$
$uv$存在,则称$u,v$相邻,$u,v$互为邻点。图中某点$v$的所有邻点组成的集合称为它的临域,记作$N_G(v)$。例如,右图中$N_G(v) = \{u,w\}$
$uv$存在,则称$u,v$相邻,$u,v$互为邻点。图中某点$v$的所有邻点组成的集合称为它的\newnoun{临域}{neighborhood},记作$N_G(v)$。例如,右图中$N_G(v) = \{u,w\}$
与某点$v$相关联的边的数量称为$v$\newnoun{}{degree},记作$d(v)$。例如,右图中$d(v)=2$$d(u)=4$

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10MatchingsInGraphs.tex Normal file
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\chapter{匹配问题}
\section{二部图与匹配}
\begin{wrapfigure}[11]{r}{5cm}
\begin{center}
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\end{tikzpicture}
\end{center}
\caption{一个二部图与它的一个完美匹配}
\end{wrapfigure}
我们先来看几个定义:
\begin{definition}[二部图]
称一张图为二部图,若它可以划分为两个部分$A, B$,使得图中的每一条边都连接两部分中的某一对顶点。
\end{definition}
\begin{definition}[匹配]
若一个边的集合中的任意两个边无公共顶点,则这个集合称为一个\newnoun{匹配}{matching}。一个覆盖了所有点的匹配称为\newnoun{完美匹配}{perfect matching}
\end{definition}
\begin{theorem}[König's Theorem]
一切度不为零的正则二部图一定有完美匹配。
\end{theorem}
\begin{definition}
对图$G = (V,E), v \in V$,记$v$的临域为$N_G(v)$。对点集$S \subset V$,定义$S$的临域为$N_G(S) := \bigcup_{v \in S}N_G(v)$
\end{definition}
\section{主定理}
\begin{theorem}[The Marriage Theorem婚姻定理]
二部图含有完美匹配当且仅当$\vert A \vert = \vert B \vert$且对$A$的任意子集$S \subset A, \vert S \vert \leq \vert N(S)\vert$
\end{theorem}
\begin{remark}
如果将定理中的$A,B$互换,定理应该仍旧成立,特别是其中的不等式对$B$也成立。因此两个不等式其一应该可以推倒出另一个。
\end{remark}
\begin{proposition}
对一个二部图若$\forall S \subset A$$\vert S \vert \leq \vert N(S) \vert$,则$\forall T \subset B$$\vert T \vert \leq \vert N(T) \vert$
\end{proposition}
\begin{figure}[!htpb]
\begin{center}
\begin{tikzpicture}
\draw (-2,0) ellipse (1 and 3);
\draw (2,0) ellipse (1 and 3);
\draw (-2,1.5) ellipse (0.7 and 1);
\draw (2,1.5) circle (0.7);
\draw (-2,2.5)--(2,2.2);
\draw (-2,0.5)--(2,0.8);
\node (A) at (-3.5, 0) {$A$};
\node (B) at (3.5, 0) {$B$};
\node at (-2,1.5) {$N(T)$};
\node at (2,1.5) {$T$};
\end{tikzpicture}
\end{center}
\caption{$T$与它的临域$N(T)$}
\label{婚姻定理引理}
\end{figure}
\begin{proof}
对于$T \subset B$(如图\ref{婚姻定理引理}),有
\[N(A \setminus N(T)) \subset B \setminus T\]
那么
\begin{align*}
\vert A \vert - \vert N(T) \vert & = \vert A \setminus N(T) \vert\\
& \leq \vert N(A\setminus N(T)) \vert\\
& \leq \vert B \setminus T\vert\\
& = \vert B \vert - \vert T \vert
\end{align*}
综合起来即
\[\vert A \vert - \vert N(T) \vert \leq \vert B \vert - \vert T \vert\]
得到$\vert N(T) \vert \geq \vert T\vert$
\end{proof}
\begin{wrapfigure}{r}{6cm}
\begin{center}
\begin{tikzpicture}[scale=0.7]
\draw (-2,0) ellipse (1 and 3);
\draw (2,0) ellipse (1 and 3);
\draw (-2,0) circle (0.7);
\draw (2,0) circle (0.7);
\draw (-2,0.7)--(2,0.7);
\draw (-2,-0.7)--(2,-0.7);
\draw (-2,2)--(2,2);
\node[draw=black, fill=black, circle] at (-2,2) {};
\node[draw=black, fill=black, circle] at (2,2) {};
\node (A) at (-3.5, 0) {$A$};
\node (B) at (3.5, 0) {$B$};
\node at (-2,0) {$S$};
\node at (2,0) {$R$};
\node[above] at (-2,2.2) {$a$};
\node[above] at (2,2.2) {$b$};
\end{tikzpicture}
\end{center}
\caption{$G$}
\label{婚姻定理证明}
\end{wrapfigure}
下面我们来证明婚姻定理:
\begin{proof}
必要性是显然的。现在来证明充分性:
对图的顶点数使用数学归纳法。$\vert A \vert = \vert B \vert = 1$时,结论显然成立。
$\vert A \vert = \vert B \vert \leq k$时,结论成立。当$\vert A \vert = \vert B \vert = k + 1$时,在$A$中找一点$a$,那么
\[\vert N(a) \vert \geq \vert \{a\} \vert = 1\]
这意味着一定存在$b \in B$$b \in N(a)$,即$a$$b$可配对。
现在,令$H := G - a - b$,即将$G$中的$a, b$及所有某个端点为$a$$b$的边都删除后得到的图。
\begin{enumerate}[label=(\arabic{*})]
\item$\forall S \subseteq A \setminus \{a\}$$R = N_H(S)$,有
\[\vert S \vert \leq \vert R \vert\]
那么由归纳假设,$H$有完美匹配,再加上$a,b$的配对,可以得到$G$有完美匹配,得证;
\item$\exists S \subset A \setminus \{a\}$满足$\vert S \vert > \vert R \vert$,注意到$\vert S \vert < \vert N_G(S)$$\vert S \vert \leq \vert N_H(S) \vert$,这意味着$b \in N_G(S)$。可设$T = R \cup \{b\}$。那么我们有$T = N_G(S)$$\vert S \vert = \vert T \vert$
设两个子图:$G_1 := G(S \cup T), G_2 := G[(A \setminus S) \cup (B \setminus T)]$,即对$G_1 = (V_1, E_1)$,其中$V_1 \subset S \cup T$$E_1 = \{e \in E \mid e \cap S \neq \varnothing, e \cap T \neq \varnothing\}$$G_2$也类似定义。
注意到$G_1$是二部图而且$\vert S \vert = \vert T \vert$,而且在$G$$S$的临域就是$T$,这意味着$\forall X \subset S$$N_G(X) = N_{G_1}(X) \subseteq T$。那么我们由题目条件知道$ \vert X \vert \leq \vert N_G(X) \vert = \vert N_{G_1}(X)\vert$由归纳假设,$G_1$中有完美匹配;类似地,$G_2$也有完美匹配。
再加上$a,b$也是匹配的,因此将$ab, G_1, G_2$组合起来就得到了$G$的完美匹配。
\end{enumerate}
综上,$G$有完美匹配,$\vert A \vert = \vert B \vert = k + 1$时结论也成立。
\end{proof}
\section{如何找到完美匹配}
\begin{figure}[H]
\centering
\subfloat[贪心算法]{
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\draw[blue!30] (a6)--(b2);
\draw[blue!30] (a6)--(b4);
\end{tikzpicture}
}
\hspace{2cm}
\subfloat[寻找可扩路]{
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\draw[blue!30] (a6)--(b2);
\draw[red] (a6)--(b4);
\node at (-0.5, 5) {$u$};
\node at (4.5, 5) {$v$};
\node at (-1, 2.5) {$A$};
\node at (5, 2.5) {$B$};
\end{tikzpicture}
}
\end{figure}
\subsection{思路}
\begin{enumerate}
\item 首先贪心地尽可能多地配对,直到$A$中剩下的点都不能配对(在本土中只有$u$一个)为止。这时对应的$B$中应该也有同样多的不能配对的点。
\item 在图中寻找一条从$u$开始的、未选的(红色)和已选的(黑色,蓝虚线)交替连接的、$v$为终点的路path称为一条\newnoun{可扩路}{augmenting path}
\item 把这条路上红色的变为选中的路,蓝色的变为没有选中的路,匹配的点又多了一对。
\end{enumerate}
\subsection{方法正确性的证明}
\begin{wrapfigure}{r}{6cm}
\begin{center}
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\draw[blue] (a5)--(b3);
\draw[rounded corners] (-1,6.5) rectangle (0.5,8.5);
\draw[rounded corners] (2.5,6.6) rectangle (4,8.5);
\draw[rounded corners] (-1.2,2.5) rectangle (0.7,8.7);
\draw[rounded corners] (2.5,2.5) rectangle (4,6.4);
\node at (-0.6, 7.5) {$U$};
\node at (3.6, 7.5) {$W$};
\node at (-0.6, 4.5) {$S$};
\node at (3.6, 4.5) {$T$};
\node at (-0.5,4) {$s$};
\node at (-0.5,7) {$u$};
\node at (-0.5,2) {$q$};
\node at (3.5,8) {$r$};
\node at(3.5,2) {$r$};
\end{tikzpicture}
\end{center}
\end{wrapfigure}
设在贪心配对之后,$U$为未配对的$A$中的点的集合,$W$为未配对的$B$中的点的集合。
若一条路是以$U$中的某个点为起点、被选中的和没被选中的边交替、终点在$A$中的路,则称它是一条\newnoun{几乎可扩路}{almost augmenting path}
先令$S = U$。之后每次新找到一个可以由几乎可扩路达到的$A$中的点,都把这个点加入$S$中。设$T$$B$中与$S$中的点配对的点。那么时刻有$\vert S \vert = \vert T \vert + \vert U \vert$
$M$是已经配对的点和将它们配对的边组成的集合。我们不断重复下面的操作:如果我们能在$S$中找到$s \in S$,满足$\exists r \in B \setminus T, sr \in E \setminus M$,即有一个从$S$中连接至$T$之外的点的边,就考虑:设$Q$是从$u \in U$开始,$s$结束的几乎可扩路(图中红色)。我们找到的$sr$有两种可能的情况:
\begin{enumerate}
\item $r$是未配对的($r \in W$,图中的绿色线),那么$Q-sr$组成了一个可扩路,将红色部分加入、黑色部分删去,就增加了一对配对的点,即我们成功地将$s, r$扩充进了$M$
\item $r$是已经配对的(图中的蓝色线),那么我们可以设它与$q$配对,那么$Q-sr-rq$形成了一个新的几乎可扩路,这意味着$q$可以被添加进$S$$r$应该被添加到$T$中。
\end{enumerate}
不论我们执行了哪个动作,我们要么扩充了$M$,要么扩充了$S$。等我们检查了$S$中所有的点之后,我们要么得到$M$是一个完美匹配,要么是$M$不是完美匹配,而所有$U$内点出发的所有可扩路都结束在$S$内,且$S$内所有点都不与$T$之外的点相连,这意味着$T = N(S)$,然而$\vert T \vert = \vert S \vert - \vert U \vert < \vert S \vert$。我们找到了$A$的一个子集$S$满足$\vert S \vert > \vert N(S)\vert$。根据婚姻定理,这个二部图不存在完美匹配。

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\author{}
\date{}
% linespread{1.5}
% \includeonly{08Trees.tex, 09FindingTheOptimum.tex}
% \includeonly{10MatchingsInGraphs.tex}
\begin{document}
\maketitle
@@ -75,4 +75,5 @@
\include{07Graphs.tex}
\include{08Trees.tex}
\include{09FindingTheOptimum.tex}
\include{10MatchingsInGraphs.tex}
\end{document}