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March 29, 2015 23:52
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latex file for MATH3632 Group Problem #1
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\documentclass{amsart} | |
\usepackage{amssymb,amsmath,latexsym,times,tikz, enumitem} | |
\pagestyle{empty} | |
\begin{document} | |
\hrule | |
\vspace{1pt} | |
\hrule | |
\vspace{4pt} | |
\begin{center} | |
Solution of Presentation Problem Set 1, \# 5\\ | |
Solved by: Phil Lopreiato and Brannon McGraw | |
\end{center} | |
\hrule | |
\vspace{1pt} | |
\hrule | |
\vspace{20pt} | |
\noindent | |
\textbf{Problem 5:} \emph{Prove that for any simple graph G = (V, E), there is a partition ${U, W}$ of V for which \textit{e}(U, W) \textgreater $\frac{|E|}{2}$ where \textit{e}(U, W) is the number of edges that have one endpoint in U and the other in W. Also, prove that every simple graph with average degree \textit{d} has a bipartite subgraph with average degree greater than $\frac{d}{2}$} | |
\vspace{.5cm} | |
\begin{enumerate}[label=\alph*] | |
\item Let's show that there is a partition ${U, W}$ of V for which \textit{e}(U, W) \textgreater $\frac{|E|}{2}$ | |
\begin{description} | |
\item[First] Investigate the average value of \textit{e}(U, W) over all possible partition $(U, W)$. This value is equal to $\sum_{partition U,W}^{} \frac{\sum_{edge \in E}{} |e(U, W|}{\# of partitions}$. We also know that $e(U, W)$ is a bijective function (because every edge can contribute at most once per possible partition), so the average value is also equal to: $\sum_{e \in E}^{} \frac{\# partitions where e \in e(U, W)}{\# of partitions}$ | |
\item[Second] If we take a graph with n vertices, and fix two of those vertices in different partitions (so, $v_1 \in U$ and $v_2 \in W$), then there are $2^{n-2}$ ways to assign partitions to the remaining vertices. Further, by a similar reasoning, there are $2^{n-1} - 1$ total possible partitions ($2^{n-1}$ total possible partitions, less the case where all vertices are assigned to the same partition). This makes the average value of $\sum_{e \in E}^{} \frac{2^{n-2}}{2^{n-1} - 1}$. Since the inner part of the summation is a constant, we can rearrange the terms to get the average value for $e(U, W)$ | |
\begin{equation} \label{eq:avg} | |
\frac{|E| * 2^{n-2}}{2^{n-1} - 1} | |
\end{equation} | |
\item[Third] Now, assume that there exists a graph where, for every partition $(U, W)$, $E(U, W) \leq \frac{|E|}{2}$. If we still want to maximize the average value of $e(U, W)$, then every partision will have $e(U, W) = \frac{|E|}{2}$, which would also be the average value. $\frac{|E|}{2} < \frac{|E| * 2^{n-2}}{2^{n-1} - 1}$ for $n > 1$ (And when $n = 1$, the graph has no edges (because it's simple), so the case is trivial). Thereofre, there must be at least one partition where $e(U, W) > \frac{|E|}{2}$. $\square$ | |
\end{description} | |
\item Now, let's show that every simple graph with average degree \textit{d} has a bipartite subgraph with average degree greater than $\frac{d}{2}$ | |
\begin{description} | |
\item[First] If the average degree of the graph is $d$, then $d = \frac{2|E|}{|V|}$ (using the Handshake Lemma). | |
\item[Second] Use the result of the first part and choose a partition $(U, W)$ of the graph where $e(U, W) > \frac{|E|}{2}$. Remove all of the edges that go in between vertices in the same partition. Now, the average degree of the bipartite subgraph (since the only remaining edges are from $e(U, W)$, which goes between the two partitions, by definition) is $\frac{2* e(U, W)}{|V|}$. We know $e(U, W) > \frac{|E|}{2}$, therefore $2 * e(U, W) > |E| \rightarrow \frac{2 * e(U, W)}{|V|} > \frac{|E|}{|V|} = \frac{d}{2}$ $\square$ | |
\end{description} | |
\end{enumerate} | |
\end{document} | |
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