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Update time_series_with_matrices.md
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lectures/time_series_with_matrices.md

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@@ -504,7 +504,7 @@ print("Sigma_y = ", Sigma_y)
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Notice that the covariance between $y_t$ and $y_{t-1}$ -- the elements on the superdiagonal -- are **not** identical.
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This is is an indication that the time series respresented by our $y$ vector is not **stationary**.
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This is is an indication that the time series represented by our $y$ vector is not **stationary**.
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To make it stationary, we'd have to alter our system so that our **initial conditions** $(y_1, y_0)$ are not fixed numbers but instead a jointly normally distributed random vector with a particular mean and covariance matrix.
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