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@@ -27,6 +27,6 @@ the model runs indefinitely until time $T$, a hyperparameter of the model.
Therefore, $\mathbb{E}[X_{n+1} | X_n] = A^T X_n$ and $\mathcal{G} = \sum_i A^i
\mathbb{E}[X_0 X_0^T] (A^T)^i$. In the case of the single-source model,
$\mathbb{E}[X_0X_0^T] = \frac{1}{m} I_m$ and it follows that $$\mathcal{G} =
-\frac{1}{m} \sum_{i=1}^T (A A^T)^i$$
+\frac{1}{m} \sum_{i=1}^T A^i (A^T)^i$$
\end{document}