Post-class edits
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@ -6,8 +6,8 @@ We would like to compute the probability of our particle stopping at node $A$. \
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\vspace{2mm}
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In other words, we want a function $P(n): N \to [0, 1]$ that returns the probability that our particle stops at $A$,
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where $N$ is the set of nodes in $G$.
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In other words, we want a function $P: \text{Nodes} \to [0, 1]$ that maps each node of the graph
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to the probability that our particle stops at $A$.
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\begin{center}
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\begin{tikzpicture}
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@ -92,11 +92,17 @@ Find $P(x)$ in terms of $P(v_1), P(v_2), ..., P(v_n)$.
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\problem{}
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How can we use \ref{oneunweighted} to find $P(n)$ for any $n$?
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In general, how do we find $P(n)$ for any node $n$?
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\begin{solution}
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If we write an equation for each node other than $A$ and $B$, we have a system of $|N| - 2$
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linear equations in $|N| - 2$ variables.
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\vspace{2mm}
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We still need to show that this system is nonsingular, but
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that's outside the scope of this handout. This could
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be offered as a bonus problem.
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\end{solution}
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\vfill
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