9. Let X be a three dimensional normal with mean and covariance -(0) fl= 2 1 1 3 -1 2 == (1 Σ Set Y₁ = X₁ + X2 + X3 and Y2 = X1 + X3. Determine the conditional distribution of Y₁ given that Y₂ = 0

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Let \( X \) be a three-dimensional normal vector with mean vector \(\mu\) and covariance matrix \(\Sigma\) given by:

\[
\mu = \begin{pmatrix} 1 \\ 1 \\ 1 \end{pmatrix}
\]

\[
\Sigma = \begin{pmatrix} 2 & 1 & 1 \\ 1 & 3 & -1 \\ 1 & -1 & 2 \end{pmatrix}
\]

Define the variables \( Y_1 \) and \( Y_2 \) as follows:

- \( Y_1 = X_1 + X_2 + X_3 \)
- \( Y_2 = X_1 + X_3 \)

The task is to determine the conditional distribution of \( Y_1 \) given that \( Y_2 = 0 \).
Transcribed Image Text:Let \( X \) be a three-dimensional normal vector with mean vector \(\mu\) and covariance matrix \(\Sigma\) given by: \[ \mu = \begin{pmatrix} 1 \\ 1 \\ 1 \end{pmatrix} \] \[ \Sigma = \begin{pmatrix} 2 & 1 & 1 \\ 1 & 3 & -1 \\ 1 & -1 & 2 \end{pmatrix} \] Define the variables \( Y_1 \) and \( Y_2 \) as follows: - \( Y_1 = X_1 + X_2 + X_3 \) - \( Y_2 = X_1 + X_3 \) The task is to determine the conditional distribution of \( Y_1 \) given that \( Y_2 = 0 \).
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