Changeset - ec61b8b55280
[Not reviewed]
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Tom Bannink - 8 years ago 2017-09-08 14:32:50
tom.bannink@cwi.nl
Add event defs
1 file changed with 6 insertions and 6 deletions:
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main.tex
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@@ -16,96 +16,97 @@
 

	
 

	
 
\usepackage{tikz}
 
\usepackage{amssymb}
 
\usepackage{mathtools}
 
\usepackage{bm}
 
\usepackage{bbm}
 
%\usepackage{bbold}
 
\usepackage{verbatim}
 

	
 
%for correcting large brackets spacing
 
\usepackage{mleftright}\mleftright
 

	
 
\usepackage{algorithm}
 
\usepackage{algorithmic}
 
\usepackage{enumitem}
 
\usepackage{float}
 

	
 
%\usepackage{titling}
 

	
 
%\setlength{\droptitle}{-5mm}  
 

	
 
%\usepackage{MnSymbol}
 
\newcommand{\cupdot}{\overset{.}{\cup}}
 
\newcommand{\pvp}{\vec{p}{\kern 0.45mm}'}
 

	
 
\DeclarePairedDelimiter\bra{\langle}{\rvert}
 
\DeclarePairedDelimiter\ket{\lvert}{\rangle}
 
\DeclarePairedDelimiterX\braket[2]{\langle}{\rangle}{#1 \delimsize\vert #2}
 
\newcommand{\underflow}[2]{\underset{\kern-60mm \overbrace{#1} \kern-60mm}{#2}}
 

	
 
\def\Ind(#1){{{\tt Ind}({#1})}}
 
\def\Id{\mathrm{Id}}
 
\def\Pr{\mathrm{Pr}}
 
\def\Tr{\mathrm{Tr}}
 
\def\im{\mathrm{im}}
 
\newcommand{\bOt}[1]{\widetilde{\mathcal O}\left(#1\right)}
 
\newcommand{\bigO}[1]{\mathcal O\left(#1\right)}
 
\newcommand{\Res}[1]{\#\mathrm{Res}\left(#1\right)}
 

	
 
\newcommand{\QMAo}{\textsf{QMA$_1$}}
 
\newcommand{\BQP}{\textsf{BQP}}
 
\newcommand{\NP}{\textsf{NP}}
 
\newcommand{\SharpP}{\textsf{\# P}}
 

	
 
\newcommand{\diam}[1]{\mathcal{D}\left(#1\right)}
 
\newcommand{\paths}[1]{\mathcal{P}\left(#1\to\mathbf{1}\right)}
 
\newcommand{\start}[1]{\textsc{start}\left(#1\right)}
 
\newcommand{\initone}[1]{\textsc{InitOne}\left(#1\right)}
 
\newcommand{\maxgap}[1]{\mathrm{maxgap}\left(#1\right)}
 
\newcommand{\gaps}[1]{#1_{\mathrm{gaps}}}
 
\renewcommand{\P}{\mathbb{P}}
 
\newcommand{\E}{\mathbb{E}}
 
\newcommand{\NZ}[1]{\mathrm{NZ}^{(#1)}}
 
\newcommand{\Z}[1]{\mathrm{Z}^{(#1)}}
 
%\newcommand{\dist}[1]{d_{\!\!\not\,#1}}
 
\newcommand{\dist}[1]{d_{\neg #1}}
 

	
 
\newcommand{\todo}[1]{{\color{red}\textbf{TODO:} #1}}
 

	
 
\long\def\ignore#1{}
 

	
 
\newtheorem{theorem}{Theorem}
 
\newtheorem{corollary}[theorem]{Corollary}%[theorem]
 
\newtheorem{lemma}[theorem]{Lemma}
 
\newtheorem{prop}[theorem]{Proposition}
 
\newtheorem{definition}[theorem]{Definition}
 
\newtheorem{claim}[theorem]{Claim}
 
\newtheorem{remark}[theorem]{Remark}
 

	
 
\newenvironment{proof}
 
{\noindent {\bf Proof. }}
 
{{\hfill $\Box$}\\	\smallskip}
 

	
 
\usepackage[final]{hyperref}
 
\hypersetup{
 
	colorlinks = true,
 
	allcolors = {blue},
 
}
 
\usepackage{ifpdf} 
 
\ifpdf
 
	\typeout{^^J *** PDF mode *** } 
 
%	\input{myBiblatex.tex}
 
%	\addbibresource{LLL.bib}	
 
%\else
 
%	\typeout{^^J *** DVI mode ***} 
 
%	\hypersetup{breaklinks = true}
 
%	\usepackage[quadpoints=false]{hypdvips}
 
	\let\oldthebibliography=\thebibliography
 
	\let\endoldthebibliography=\endthebibliography
 
	\renewenvironment{thebibliography}[1]{%
 
		\begin{oldthebibliography}{#1}%
 
			\setlength{\itemsep}{-.3ex}%
 
	}%
 
	{%
 
		\end{oldthebibliography}%
 
	}
 
@@ -548,104 +549,103 @@ The intuition of the following lemma is that the far right can only affect the z
 
			&= \sum_{k=1}^{\infty}\smash{\sum_{\underset{v+w\leq n}{v,w\in [n]}}}\P^{[-v,w]}_{b_{-v}=b_{w}=1}(\Res{0}\!\geq\! k\,\&\, P_{v,w}\!\in\!\mathcal{P})  \left(\P^{[-m,-v]}(\NZ{-v})\P^{[w,m]}(\NZ{w})\!+\!\bigO{p^{n-v-w+1}}\right) +\bigO{p^{n}} \tag{by Lemma~\ref{lemma:independenetSidesNew}}\\	
 
			&= \sum_{k=1}^{\infty}\smash{\sum_{\underset{v+w\leq n}{v,w\in [n]}}}\P^{[-v,w]}_{b_{-v}=b_{w}=1}(\Res{0}\!\geq\! k\,\&\, P_{v,w}\!\in\!\mathcal{P}) \P^{[-m,-v]}(\NZ{-v})\P^{[w,m]}(\NZ{w}) +\bigO{p^{n}} \tag{$|P_{v,w}|=v+w-1$}\\
 
			&= \sum_{k=1}^{\infty}\sum_{\underset{v+w\leq n}{v,w\in [n]}}\P^{[-m,m]}(\Res{0}\!\geq\! k\,\&\, P_{v,w}\!\in\!\mathcal{P}) +\bigO{p^{n}} \tag{by Lemma~\ref{lemma:eventindependenceNew}}\\[-1mm]
 
			&= \sum_{k=1}^{\infty}\sum_{\underset{|P|<n}{P\text{ patch}:0\in P}}\P^{[-m,m]}(\Res{0}\!\geq\! k\,\&\, P\in\mathcal{P}) +\bigO{p^{n}} \\[-1mm]
 
			&= \sum_{k=1}^{\infty}\sum_{P\text{ patch}:0\in P}\P^{[-m,m]}(\Res{0}\!\geq\! k\,\&\, P\in\mathcal{P}) +\bigO{p^{n}} \\
 
			&= \E^{[-m,m]}(\Res{0})+\bigO{p^{n}}.\\[-3mm]										
 
		\end{align*}  
 
		\noindent Repeating the same argument with $m$ and comparing the results completes the proof.
 
	\end{proof} 	
 
\begin{comment}
 
		Let $N\geq \max(2n,2m)$, then
 
		\begin{align*}
 
		R^{(n)}
 
		&= \E^{(n)}(\Res{1}) \tag{by translation invariance}\\
 
		&= \sum_{k=1}^{\infty}\P^{(n)}(\Res{1}\geq k) \\
 
		%&= \sum_{k=1}^{\infty}\sum_{\underset{\ell\geq r-1}{\ell,r\in[n]}}\P^{(n)}(\Res{1}\geq k\,\&\, [\ell+1,r-1]\in\mathcal{P}) \tag{partition}\\
 
		%&= \sum_{k=1}^{\infty}\sum_{\underset{\ell\geq r}{\ell,r\in[n]}}\P^{(n)}(\Res{1}\geq k\,\&\, [\ell+1,r-1]\in\mathcal{P})  +\bigO{p^{n}} \\	
 
		%&= \sum_{k=1}^{\infty}\sum_{\underset{\ell\geq r}{\ell,r\in[n]}}\P^{[l,r]}_{b_{\ell}=b_{r}=1}(\Res{1}\geq k\,\&\, [\ell+1,r-1]\in\mathcal{P}) \P^{[r,\ell]}(\NZ{\ell,r}) +\bigO{p^{n}} \tag{by Lemma~\ref{lemma:eventindependenceNew}}\\				
 
		&= \sum_{k=1}^{\infty}\sum_{P\text{ patch}:1\in P}\P^{(n)}(\Res{1}\geq k\,\&\, P\in\mathcal{P}) \tag{partition}\\
 
		&= \sum_{k=1}^{\infty}\sum_{P\text{ patch}:1\in P}^{|P|<n}\P^{(n)}(\Res{1}\geq k\,\&\, P\in\mathcal{P}) +\bigO{p^{n}}\\
 
		&= \sum_{k=1}^{\infty}\sum_{P\text{ patch}:1\in P}^{|P|<n}\P^{[P\cup \partial P]}_{b_{\partial P}=1}(\Res{1}\geq k\,\&\, P\in\mathcal{P}) \P^{[\overline{P}]}(\NZ{\partial P}) +\bigO{p^{n}} \tag{by Lemma~\ref{lemma:eventindependenceNew}}\\
 
		&= \sum_{k=1}^{\infty}\sum_{P\text{ patch}:1\in P}^{|P|<n}\P^{[P\cup \partial P]}_{b_{\partial P}=1}(\Res{1}\geq k\,\&\, P\in\mathcal{P}) \left(\left(\P^{[|\overline{P}|]}(\NZ{1})\right)^2+\bigO{p^{|\overline{P}|}}\right) +\bigO{p^{n}} \tag{by Lemma~\ref{lemma:independenetSidesNew}}\\
 
		&= \sum_{k=1}^{\infty}\sum_{P\text{ patch}:1\in P}^{|P|<n}\P^{[P\cup \partial P]}_{b_{\partial P}=1}(\Res{1}\geq k\,\&\, P\in\mathcal{P}) \left(\left(\P^{[N]}(\NZ{1})\right)^2+\bigO{p^{|\overline{P}|}}\right) +\bigO{p^{n}} \tag{by Corollary~\ref{cor:probIndepNew}}\\
 
		&= \sum_{k=1}^{\infty}\sum_{P\text{ patch}:1\in P}^{|P|<n}\P^{[-N,N]}(\Res{1}\geq k\,\&\, P\in\mathcal{P}) +\bigO{p^{n}} \tag{by Lemma~\ref{lemma:eventindependenceNew}}\\
 
		&= \sum_{k=1}^{\infty}\sum_{P\text{ patch}:1\in P}\P^{[-N,N]}(\Res{1}\geq k\,\&\, P\in\mathcal{P}) +\bigO{p^{n}} \tag{by Lemma~\ref{lemma:eventindependenceNew}}\\
 
		&= \E^{[-N,N]}(\Res{1})+\bigO{p^{n}}.
 
		\end{align*}	
 
\end{comment}			
 

	
 
~
 

	
 
Questions:
 
\begin{itemize}
 
	\item Can we generalise the proof to other translationally invariant spaces, like the torus?
 
	\item In view of this proof, can we better characterise $a_k^{(k+1)}$?
 
	\item Why did Mario's and Tom's simulation show that for fixed $C$ the contribution coefficients have constant sign? Is it relevant for proving \ref{it:pos}-\ref{it:geq}?
 
\end{itemize} 
 

	
 
	%I think the same arguments would translate to the torus and other translationally invariant spaces, so we could go higher dimensional as Mario suggested. Then I think one would need to replace $|S_{><}|$ by the minimal number $k$ such that there is a $C$ set for which $S\cup C$ is connected. I am not entirely sure how to generalise Lemma~\ref{lemma:probIndep} though, which has key importance in the present proof.
 

	
 
\newpage
 
\section{General graphs proof}
 

	
 
We consider the following generalization of the Markov Chain.
 

	
 
Let $G=(V,E)$ be a graph with vertex set $V$ and edge set $E$. We define a Markov Chain $\mathcal{M}_G$ as the following process: initialize every vertex of $G$ independently to 0 with probability $p$ and 1 with probability $1-p$. Then at each step, select a uniformly random vertex that has value $0$ and resample it and its neighbourhood, all of them independently with the same probability $p$. The Markov Chain terminates when all vertices have value $1$. We use $\P^{G}$ to denote probabilities associated to this Markov Chain.
 

	
 
\begin{definition}[Events] \label{def:events}
 
    For any subset $S\subseteq V$ of vertices.
 
    For any state $b\in\{0,1\}^n$, define $\start{b}$ as the event that the starting state of the chain is the state $b$. For any event $A$ and any $v\in[n]$, define
 
    Let $S\subseteq V$ be any subset of vertices.
 
    Define $\Z{S}$ as the event that \emph{all} vertices in $S$ become zero at any point in time before the Markov Chain terminates.
 
    Define $\NZ{S}$ as the event that \emph{none} of the vertices in $S$ become zero at any point in time before the Markov Chain terminates.
 
    Define $\initone{S}$ as the event that all vertices in $S$ \emph{initially} get assigned the value 1, and define for any event $A$:
 
    \begin{align*}
 
        \P^{(n)}_b(A) &= \P^{(n)}(A \;|\; \start{b}) \\
 
        \P^{[n]}_{b_v=1}(A) &= \P^{[n]}(A \;|\; v\text{ is initialized to }1) \\
 
        \P^{[n]}_{b_v=b_w=1}(A) &= \P^{[n]}(A \;|\; v\text{ and }w\text{ are initialized to }1) ,
 
        \P^{G}_S(A) &= \P^{G}(A \;\mid\; \initone{S})
 
    \end{align*}
 
    The last two probabilities are not conditioned on any other bits of the starting state.
 
\end{definition}
 

	
 

	
 
$\NZ{S}$
 
$\Z{S}$
 

	
 
patch
 

	
 
$B(S;d)$
 

	
 

	
 

	
 
We consider $R^{(n)}(p)$ as a power series in $p$ and our main aim in this section is to show that $R^{(n)}(p)$ and $R^{(n+k)}(p)$ are the same up to order $n-1$.
 

	
 

	
 
%Note that we have $\P^{(n)}(\start{b}) = (1-p)^{|b|}p^{n-|b|}$ by definition of our Markov Chain.
 
\begin{definition}[Vertex visiting event] \label{def:visitingResamplings}
 
    Denote by $\mathrm{Z}^{(v)}$ the event that site $v$ becomes zero at any point in time before the Markov Chain terminates. Denote the complement by $\mathrm{NZ}^{(v)}$, i.e. the event that site $v$ does \emph{not} become zero before it terminates. Furthermore define $\mathrm{NZ}^{(v,w)} := \mathrm{NZ}^{(v)} \cap \mathrm{NZ}^{(w)}$, i.e. the event that \emph{both} $v$ and $w$ do not become zero before termination.
 
\end{definition}
 
%\begin{figure}
 
%	\begin{center}
 
%    	\includegraphics{diagram_groups.pdf}
 
%    \end{center}
 
%    \caption{\label{fig:separatedgroups} Illustration of setup of Lemma \ref{lemma:eventindependence}. Here $b_1,b_2\in\{0,1\}^n$ are bitstrings such that all zeroes of $b_1$ and all zeroes of $b_2$ are separated by two indices $v,w$.}
 
%\end{figure}
 
\begin{wrapfigure}[7]{r}{0.25\textwidth} % The first [] argument is number of lines that are narrowed
 
    \centering
 
    \includegraphics{diagram_groups.pdf}
 
    \caption{\label{fig:separatedgroups} Lemma \ref{lemma:eventindependence}.}
 
\end{wrapfigure}
 
The following lemma considers two vertices $v,w$ that are never ``crossed'' so that two halves of the cycle become independent.\begin{lemma}[Conditional independence] \label{lemma:eventindependence} \label{claim:eventindependence}
 
    Let $b=b_1\land b_2\in\{0,1\}^n$ be a state with two separated groups of zeroes as in Figure \ref{fig:separatedgroups}. Let $v$, $w$ be any indices inbetween the groups, such that $b_1$ lies on one side of them and $b_2$ on the other, as shown in the figure. Furthermore, let $A_1$ be any event that depends only on the sites ``on the $b_1$ side of $v,w$'', and similar for $A_2$ (for example $\mathrm{Z}^{(i)}$ for an $i$ on the correct side). Then we have
 
    \begin{align*}
 
        \P^{(n)}_b(\mathrm{NZ}^{(v,w)}, A_1, A_2)
 
        &=
 
        \P^{(n)}_{b_1}(\mathrm{NZ}^{(v,w)}, A_1)
 
        \; \cdot \;
 
        \P^{(n)}_{b_2}(\mathrm{NZ}^{(v,w)}, A_2) \\
 
        \P^{(n)}_b(A_1, A_2 \mid \mathrm{NZ}^{(v,w)})
 
        &=
 
        \P^{(n)}_{b_1}(A_1 \mid \mathrm{NZ}^{(v,w)})
 
        \; \cdot \;
 
        \P^{(n)}_{b_2}(A_2 \mid \mathrm{NZ}^{(v,w)}) .%\\
 
        %R_{b,\mathrm{NZ}^{(v,w)},A_1,A_2}
 
        %&=
 
        %R_{b_1,\mathrm{NZ}^{(v,w)},A_1}
 
        %\; + \;
 
        %R_{b_2,\mathrm{NZ}^{(v,w)},A_2}
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