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Fix definition of primitive matrix and clarify Hamilton matrix reference
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lectures/eigen_II.md

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@@ -238,7 +238,8 @@ A = \begin{bmatrix} 0.5 & 0.1 \\
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\end{bmatrix}
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$$
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$A$ here is also a primitive matrix since $A^k$ is everywhere nonnegative for $k \in \mathbb{N}$.
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A here is also a primitive matrix since $A^k$ is everywhere positive for some $k \in \mathbb{N}$.
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$$
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B = \begin{bmatrix} 0 & 1 \\
@@ -392,7 +393,8 @@ We are now prepared to bridge the languages spoken in the two lectures.
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A primitive matrix is both irreducible and aperiodic.
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So Perron-Frobenius theorem explains why both {ref}`Imam and Temple matrix <mc_eg3>` and [Hamilton matrix](https://en.wikipedia.org/wiki/Hamiltonian_matrix) converge to a stationary distribution, which is the Perron projection of the two matrices
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So the Perron-Frobenius theorem explains why both the Imam and Temple matrix and Hamilton’s transition matrix (`mc_eg2`) converge to a stationary distribution — the Perron projection of the two matrices.
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```{code-cell} ipython3
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P = np.array([[0.68, 0.12, 0.20],

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