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{\rm E}[X_n^{(1)}] &=& (1-\lambda)X_0   \lambda {\rm E}[R_1] \cdots {\rm E}[R_N] X_0 \\
 &=& (1-\lambda)X_0   \lambda \mu^N X_0
X_N^{(1)} &=& (1-\lambda)X_0   \lambda R_1 R_2 \cdots R_N X_0 \\
          &=& (1-\lambda)X_0   \lambda X_0 \prod_{i=1}^N R_i
{\rm E}[X_N^{(2)}] &=& \frac{X_0}{N}\left( \mu^N   \mu^{N-1}   \cdots   \mu \right) \\
 &=& \frac{X_0}{N}\sum_{i=1}^N \mu^i
{\rm E}\left[ {\cal R}_i {\cal R}_j \right] = \mu^{|i-j|}(\mu^2   \sigma^2)^{\min(N-i 1, N-j 1)}
\sigma^2 &=& {\rm E}[R_i^2] - \mu^2 \\
{\rm E}[R_i^2] &=& \sigma^2   \mu^2