\documentclass{article} \usepackage{amsmath,amssymb} \setlength{\oddsidemargin}{0.25 in} \setlength{\evensidemargin}{-0.25 in} \setlength{\topmargin}{-0.6 in} \setlength{\textwidth}{6.5 in} \setlength{\textheight}{8.5 in} \setlength{\headsep}{0.75 in} \setlength{\parindent}{0 in} \setlength{\parskip}{0.1 in} \newcounter{lecnum} % % The following macro is used to generate the header. % \newcommand{\lecture}[4]{ \pagestyle{myheadings} \thispagestyle{plain} \newpage \setcounter{lecnum}{#1} \setcounter{page}{1} \noindent \begin{center} \framebox{ \vbox{\vspace{2mm} \hbox to 6.28in { {{\bf 18.317~Combinatorics, Probability, and Computations on Groups} \hfill #2} } \vspace{4mm} \hbox to 6.28in { {\Large \hfill Lecture #1 \hfill} } \vspace{2mm} \hbox to 6.28in { {\it Lecturer: #3 \hfill Scribe: #4} } \vspace{2mm}}} \end{center} \markboth{Lecture #1: #2}{Lecture #1: #2} \vspace*{4mm} } \input{epsf} %usage: \fig{LABEL}{FIGURE-HEIGHT}{CAPTION}{FILENAME} \newcommand{\fig}[4]{ \begin{figure} \setlength{\epsfysize}{#2} \centerline{\epsfbox{#4}} \caption{#3} \label{#1} \end{figure} } \newtheorem{theorem}{Theorem} \newtheorem{lemma}[theorem]{Lemma} \newtheorem{proposition}[theorem]{Proposition} \newtheorem{claim}[theorem]{Claim} \newtheorem{corollary}[theorem]{Corollary} \newtheorem{definition}[theorem]{Definition} \newenvironment{proof}{{\bf Proof:}}{\hfill\rule{2mm}{2mm}} \newenvironment{mproof}[1]{{\bf #1}}{\hfill\rule{2mm}{2mm}} \def\E#1{{\rm E}[#1]} \def\i{\hspace*{5mm}} \newcounter{lineno} \setcounter{lineno}{0} \def\n{\addtocounter{lineno}{1} \hbox to 7mm{\hfill \arabic{lineno}:}\hspace{2mm}} \def\resetn{\setcounter{lineno}{0}} \def\tqbfk{\tqbf_k^\exists} \def\ep{\epsilon} \def\erd{Erd\H{o}s} \begin{document} \lecture{0}{October 29, 2001}{Igor Pak}{M. Alekhnovich} \section*{Mixing time \& long paths in graphs} Let $\Gamma$ be a Cayley graph of group $G$: $\Gamma=Caley(G,S),$ $|S|=D,$ $|\Gamma|=n$. Recall the following notation from the previous lectures: $\{x_t^v\}$ - random walk on $\Gamma$ starting at $v\in \Gamma$. $Q_v^t(g)=Pr(x_t^v=g)$ $\tau_4=\min \{t: ||Q_v^t-u||<\frac{1}{4}\ \forall v\in \Gamma\}$ In this lecture we will prove the following result: \begin{theorem}\label{main} Let $\Gamma$ be a $D$-regular graph with $\tau_4\le k$ s.t. $D>8k^2$. Then $\Gamma$ contains a (self-avoiding) path of length greater than $\frac{|\Gamma|}{16k}$. \end{theorem} This theorem holds for an arbitrary $D$-regular graph as well but in this lecture we will confine ourselves only to Cayley graphs. \begin{definition} Let \ $\alpha_v(A) = Pr\left(x_t^v\not \in A,\ \forall\ t\in[1..k]\right)$, \ $\beta_v(A)=1-\alpha_v(A)$. \end{definition} Clearly, \, $\beta_v(A)\le \sum_{t=1}^k Pr(x_t^v\in A)=\sum_{t=1}^k Q_v^t(A).$ \begin{proposition} \ FOr any \, $A \subseteq G$, we have: \ $\sum_{v\in \Gamma} \beta_v(A) \le k|A|$. \end{proposition} \begin{proof} $$\sum_{v\in \Gamma} \beta_v(A)\le \sum_{v\in \Gamma}\sum_{t=1}^k Q_v^t (A)= \sum_{t=1}^k \sum_{z\in A}\sum_{v\in\Gamma} Q_v^t(z)=k|A|$$ \end{proof} \begin{lemma}\label{l1} For any $A \subseteq G$ and any $\beta>0$ we have: $$\#\{v\in \Gamma:\beta_v(A)<\beta\}\ge n-\frac{k|A|}\beta$$ \end{lemma} \begin{proof} Let $m=\#\{v\in \Gamma:\beta_v(A)\ge \beta\}$. Since $m\beta\le \sum_{v\in \Gamma}\beta_v(A)\le k|A|$ we have $m\le \frac{k|A|}{\beta}$ and $$\#\{v\in \Gamma:\beta_v(A)<\beta\}=n-m\ge n-\frac{k|A|}\beta.$$ \end{proof} \begin{lemma}\label{l2} Let $$\rho:=\min_{\begin{array}{c}|B|=k\\ v\not\in B\end{array}} Pr(x_1^v,...,x_k^v\not\in B \land [\mbox{all $x_i^v$ are distinct}])$$ $$\delta:=1-\rho$$ Then $\rho>1-\frac{2k^2}D;$ $\delta<\frac{2k^2}{D}.$ \end{lemma} \begin{proof} $$\rho\ge \left(1-\frac{|B|+1}D\right)\cdot...\cdot\left(1-\frac{|B|+k}D\right)> {\left(1-\frac{2k}D\right)}^k>1-\frac{2k^2}D$$ \end{proof} \begin{lemma}\label{l3} Let $$\xi_v(A)=\min_{\begin{array}c B\subset G, |B|=k\\ v\not\in A\cup B\end{array}} \alpha_v(A\cup B)$$ $$Z(A,\beta)=\{v\in\Gamma:\xi_v(A)>1-\beta-\frac{2k^2}D\}$$ Then $\forall A\subset \Gamma$ $|Z(A,\beta)|>n - \frac{k|A|}\beta.$ \end{lemma} \begin{proof} $$\xi_v(A)\ge 1-\beta_v(A)-\delta>^{(Lemma~\ref{l2})}1-\beta-\frac{2k^2}D$$ if $\beta_v(A)<\beta$. Hence, by Lemma~\ref{l1} $$\xi_v(A)>1-\beta-\frac{2k^2}D$$ for more than $n-\frac{k|A|}\beta$ points. \end{proof} \begin{definition}[failure probability] Assume that $v$ and $A$ are given. The random walk starting in $v$ is {\em successful} iff all $x_i$ $i\in[1..k]$ are distinct and don't belong to $A$. Let the {\em failure probability} be $$fp(v,A)=1-Pr(x_1^v,...,x_k^v\not\in A\land [\mbox{all $x_i^v$ are distinct}]).$$ \end{definition} Clearly $||A_v^k-U||\ge \frac{|Z|}{|\Gamma|}-Q_v^k(Z)$. By the statement of the theorem $||A_v^k-U||<\frac 1 4$. Thus $Q_v^k(Z)>\frac {|Z|}n-\frac 1 4$ for any $Z\subseteq \Gamma.$ \begin{mproof}{\bf Proof (of the Theorem):} Fix $\gamma:=\frac 1 2;$ $\beta:=\gamma-\frac{2k^2}D\le \frac 1 2 - \frac 1 4 = \frac 1 4.$ Let $A$ be some set s.t. $\exists v\not \in A$ for which failure probability is less or equal than $\gamma$. Let us denote $$p=Pr(x_1^v,...,x_k^v\not\in A\land [\mbox{all $x_i$ are distinct}]\land fp(x_k^v, A\cup \{x_1^v,...,x_{k-1}^v\})<\gamma).$$ Then $$p\ge Pr(x_k^v\in Z(A,\beta))-\gamma\ge \left(\frac {|Z(A,\beta)|}{|\Gamma|}-\frac 1 4\right)-\gamma> 1-\frac{k|A|}{\beta n}-\frac 1 4 - \frac 1 2= \frac 1 4 - \frac{k|A|}{\frac 1 4 n},$$ which is greater than $0$ as long as $|A|<\frac{n}{16 k}.$ Let us set $A=\emptyset$ at the start. By Lemma~\ref{l2}, $\exists v\ fp(v,A)<\gamma.$ Since $p>0$ we can choose at least one self-avoiding path with ``good'' end-point. We can continue the process of constructing the path as long as $p>0$ which is equivalent to $|A|<\frac n {16 k}$. Thus there exists a path of length greater or equal $\frac n {16 k}$. \end{mproof} At the end, I would like to mention about the following conjecture of Lov\'asz: {\em\noindent Every Cayley graph has a Hamiltonian path.} The main Theorem shows that it is not very easy to produce a counterexample to this conjecture in class of groups with small mixing time. Also, we proved Theorem~\ref{main} in a non-constructive way, but in fact using these ideas one can find a long path in polynomial time. For this, it is sufficient to test $x_k^v\in Z$ efficiently. \end{document}