@@ -169,8 +169,7 @@ In the discussion below, we learn to quantify such ideas.
169169
170170### Example: A Markov Chain
171171
172- Recall that, in our lecture on Markov chains (TODO add link to new Markov
173- chain lecture markov_chains.md) we studied a dynamic model of business cycles
172+ Recall that, in our lecture on {ref}` Markov chains <mc_eg2> ` we studied a dynamic model of business cycles
174173where the states are
175174
176175* "ng" = "normal growth"
846845The above result is obvious when $k=1$ and a proof of the general case can be
847846found in \cite{sargent2022economic}.
848847
849- Now recall from [ TODO add link to Maanasee's eigenvalues lecture] that a
848+ Now recall from {ref} ` the eigenvalues lecture <irreducible> ` that a
850849nonnegative matrix $A$ is called irreducible if for each $(i,j)$ there is an integer $k \geq 0$ such that $a^{k}_ {ij} > 0$.
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852851From the preceding theorem it is not too difficult (see
@@ -1073,8 +1072,7 @@ Suppose we have a weighted directed graph with adjacency matrix $A$.
10731072For simplicity we will suppose that the nodes $V$ of the graph are just the
10741073integers $1, \ldots, n$.
10751074
1076- Let $r(A)$ denote the spectral radius of $A$. [ TODO link to Maanasee's
1077- lecture on eigenvalues]
1075+ Let $r(A)$ denote the {ref}` spectral radius<neumann_series_lemma> ` of $A$.
10781076
10791077The ** eigenvector centrality** of the graph is defined as the $n$-vector $e$ that solves
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@@ -1087,7 +1085,7 @@ The **eigenvector centrality** of the graph is defined as the $n$-vector $e$ tha
10871085
10881086In other words, $e$ is the dominant eigenvector of $A$ (the eigenvector of the
10891087largest eigenvalue --- see the discussion of the Perron-Frobenius theorem in
1090- [ TODO link to Maanasee's lecture on eigenvalues ]
1088+ {ref} ` the eigenvalue lecture <frobenius> `
10911089
10921090To better understand {eq}` ev_central ` , we write out the full expression
10931091for some element $e_i$
12311229$$
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12331231
1234- This follows from the Neumann series theorem [ TODO link to Maanasee's lecture ] .
1232+ This follows from the {ref} ` Neumann series theorem<neumann_series_lemma> ` .
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12361234The parameter $\beta$ is used to ensure that $\kappa$ is finite
12371235
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