Changeset - 7b239b9b9891
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Tom Bannink - 8 years ago 2017-09-10 22:42:04
tombannink@gmail.com
Fix typo in equation
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@@ -676,97 +676,97 @@ The following Lemma says that if a set $S$ splits the graph in two, then those t
 
        (z^Y_4, v^Y_4, r^Y_4),
 
        \cdots  \right) \\
 
        \xi^G             &= \big( (\text{initialize to }b^X \; 1^S \; b^Y),
 
        (z^X_1+z^Y_1, v^Y_1, r^Y_1),
 
        (z^X_1+z^Y_2, v^X_1, r^X_1), \\
 
        &\qquad\qquad\qquad\qquad\qquad\qquad\qquad\qquad
 
        (z^X_2+z^Y_2, v^X_2, r^X_2),
 
        (z^X_3+z^Y_2, v^Y_2, r^Y_2),
 
        \cdots \big)
 
    \end{align*}
 
    Here $b^X\in \{0,1\}^{X}$ and $b^Y\in\{0,1\}^Y$. Since we condition on the event that $S$ is initialized to ones, we know the initial state is of the form $b^X\;1^S$ in $\xi^{G\setminus Y}$. Similarly, since these paths satisfy the $\NZ{S}$ event, we know all the vertices $v_i$ resampled in $\xi^{G\setminus Y}$ are vertices in $X$, and the resampled bits $r_i$ are bits corresponding to vertices in $X$.
 
    In the newly constructed path $\xi^G$ the number of zeroes is the number of zeroes in $X$ and $Y$ together, so this starts as $z^X_1 + z^Y_1$. Then in this example, after the first step the number of zeroes is $z^X_1+z^Y_2$ since a step of $\xi^{G\setminus X}$ was done (so a vertex in $Y$ was resampled).
 
    The probability of $\xi^{G\setminus Y}$ is given by
 
    \begin{align*}
 
        \P^{G\setminus Y}_S(\xi^{G\setminus Y}) &=
 
        \P(\text{initialize }b^X\;1^S \mid \text{initialize $S$ to }1)
 
        \P(\text{pick }v^X_1 \mid z^X_1) \P(r^X_1)
 
        \P(\text{pick }v^X_2 \mid z^X_2) \P(r^X_2) \cdots \\ 
 
        &= (1-p)^{|b^X|} p^{|X|-|b^X|} \cdot
 
        \frac{1}{z^X_1} \P(r^X_1) \cdot
 
        \frac{1}{z^X_2} \P(r^X_2) \cdots
 
        \frac{1}{z^X_{|\xi^{G\setminus Y}|}} \P(r^X_{|\xi^{G\setminus Y}|}) .
 
    \end{align*}
 
    and similar for $\xi^{G\setminus X}$.
 
    Instead of choosing a step in $Y,X,X,Y,\cdots$ we could have chosen other orderings. The following diagram illustrates all possible interleavings, and the red line corresponds to the particular interleaving $Y,X,X,Y$ in the example above.
 
    \begin{center}
 
        \includegraphics{diagram_paths3.pdf}
 
    \end{center}
 
    For the labels shown within the grid, define $p_{ij} = \frac{z^X_i}{z^X_i + z^Y_j}$.
 
    The probability of this particular interleaving $\xi^G$ is given by
 
    \begin{align*}
 
        \P^{G}_S(\xi^{G})
 
        &= (1-p)^{|b^X\; b^Y|} p^{|X\cup Y|-|b^X\;b^Y|} \quad
 
        \frac{1}{z^X_1+z^Y_1} \P(r^Y_1) \cdot
 
        \frac{1}{z^X_1+z^Y_2} \P(r^X_1) \cdots \\
 
        &= (1-p)^{|b^X|} p^{|X|-|b^X|} \cdot (1-p)^{|b^Y|} p^{|Y|-|b^Y|} \\
 
        &\qquad \cdot
 
        \frac{z^Y_1}{z^X_1+z^Y_1} \frac{1}{z^Y_1} \P(r^Y_1) \;
 
        \frac{z^X_1}{z^X_1+z^Y_2} \frac{1}{z^X_1} \P(r^X_1) \;
 
        \frac{z^X_2}{z^X_2+z^Y_2} \frac{1}{z^X_2} \P(r^X_2)
 
        \cdots \tag{rewrite fractions}\\
 
        &=
 
        \frac{z^Y_1}{z^X_1+z^Y_1} 
 
        \frac{z^X_1}{z^X_1+z^Y_2} 
 
        \frac{z^X_2}{z^X_2+z^Y_2} 
 
        \cdots
 
        \P^{G\setminus Y}_S(\xi^{G\setminus Y}) \; \P^{G\setminus X}_S(\xi^{G\setminus X})
 
        \tag{definition} \\
 
        &= (1-p_{1,1}) \; p_{1,2} \; p_{2,2} \; (1-p_{3,2}) \; \P^{G\setminus Y}_S(\xi^{G\setminus Y}) \; \P^{G\setminus X}_S(\xi^{G\setminus X})
 
        &= (1-p_{1,1}) \; p_{1,2} \; p_{2,2} \; (1-p_{3,2}) \cdots \P^{G\setminus Y}_S(\xi^{G\setminus Y}) \; \P^{G\setminus X}_S(\xi^{G\setminus X})
 
        \tag{definition of $p_{i,j}$} \\
 
        &= \P(\text{path in grid}) \; \P^{G\setminus Y}_S(\xi^{G\setminus Y}) \; \P^{G\setminus X}_S(\xi^{G\setminus X})
 
    \end{align*}
 
    In the grid we see that at every point the probabilities sum to 1, and we always reach the end, so we know the sum of all paths in the grid is 1. This proves the required equality.
 
    We obtain
 
    \begin{align*}
 
        \P^{G}_S(\NZ{S} \cap A^X \cap A^Y)
 
        &= \sum_{\xi^G \in \NZ{S}\cap A^X \cap A^Y} \P^{G}_S(\xi^G) \\
 
        &= \sum_{\xi^{G\setminus Y} \in \NZ{S}\cap A^X}
 
           \sum_{\xi^{G\setminus X} \in \NZ{S}\cap A^Y}
 
            \P^{G\setminus Y}_S(\xi^{G\setminus Y}) \cdot
 
            \P^{G\setminus X}_S(\xi^{G\setminus X}) \\
 
        &= \P^{G\setminus Y}_S(\NZ{S} \cap A^X) \; \cdot \; \P^{G\setminus X}_S(\NZ{S} \cap A^Y)
 
    \end{align*}
 
\end{proof}
 

	
 
\todo{rewrite from here}
 
\begin{lemma}[Conditional independence 2] \label{lemma:eventindependenceNewGen}
 
	Let $v,w \in [n]$, and let $A$ be any event that depends only on the sites $[v,w]$ (meaning the initialization and resamples) and similarly $B$ an event that depends only on the sites $[w,v]$. (For example $\mathrm{Z}^{(s)}$ or ``$s$ has been resampled at least $k$ times'' for an $s$ on the correct interval). Then we have
 
	\begin{align*}
 
		\P^{(n)}(\mathrm{NZ}^{(v,w)}\cap A\cap B)
 
		=
 
		\P_{b_v=b_w=1}^{[v,w]}(\mathrm{NZ}^{(v,w)}\cap A)
 
		\; \cdot \;
 
		\P^{[w,v]}(\mathrm{NZ}^{(v,w)}\cap B),
 
	\end{align*}
 
	and similarly
 
	\begin{align*}
 
		\P^{[n]}(\mathrm{NZ}^{(v)}\cap A\cap B)
 
		=
 
		\P_{b_v=1}^{[v]}(\mathrm{NZ}^{(v)}\cap A)
 
		\; \cdot \;
 
		\P^{[v,n]}(\mathrm{NZ}^{(v)}\cap B)
 
	\end{align*}
 
	where there is no longer a condition on the starting state.
 
\end{lemma}
 
\begin{proof}
 
    We start by relating the different Markov Chains.
 
    If $b$ is a starting state where all the zeroes are inside an interval $[v,w]$ (not on the boundary) then we can switch between the cycle and the finite chain:
 
    \begin{align*}
 
        \P^{(n)}_{b} (\NZ{v,w} \cap A) = \P^{[v,w]}_b (\NZ{v,w}\cap A) .
 
    \end{align*}
 
    If vertex $v$ and $w$ never become zero, then the zeroes never get outside of the interval $[v,w]$ and we can ignore the entire circle and only focus on the process within $[v,w]$.
 
    We can apply this to the result of Lemma \ref{lemma:splitting}, to get
 
    \begin{align*}
 
        \P^{(n)}_b(\mathrm{NZ}^{(v,w)} \cap A \cap B)
 
        &=
 
        \P^{[v,w]}_{b|_{[v,w]}}(\mathrm{NZ}^{(v,w)} \cap A)
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