Question

State whether the following statements are true or false and also give the reason in support of your answer 

(a) The covariance matrix of random vectors \underset{\sim }{X} and  \underset{\sim }{Y}is symmetric.

(b) If \underset{\sim }{X} is a p-variate normal random vector, then every linear combination   \underset{\sim }{C{}'}\underset{\sim }{X},where  \underset{\sim }{C}_{P\times 1}is a scalar vector, is also p-variate normal vector.

(c) The trace of matrix \begin{pmatrix} 3 & -2\\ -2 &6 \end{pmatrix}   is 9.

(d) If a matrix is positive definite then its inverse is also positive definite.

(e) If \underset{\sim }{X} -N_2 \left ( \binom{2}{1},\begin{pmatrix} 1 &0 \\ 0 &1 \end{pmatrix} \right )  and   

 \underset{\sim }{Y} -N_2 \left ( \binom{-1}{3},\begin{pmatrix} 1 &0 \\ 0 &1 \end{pmatrix} \right ),  then

\underset{\sim }{X}+\underset{\sim }{Y} -N_2  \left ( \binom{1}{1},\begin{pmatrix} 1 &0 \\ 0 &1 \end{pmatrix} \right )

02 Apr 2024
Answer :
Word Count : 279

Let's analyze each statement:

(a) True. The covariance matrix of random vectors \(\underset{\sim }{X}\) and \(\underset{\sim }{Y}\) is given by \(Cov(\underset{\sim }{X}, \underset{\sim }{Y}) = E[(\underset{\sim }{X} - \mu_X)(\underset{\sim }{Y} - \mu_Y)^T]\), where \(\mu_X\) and \(\mu_Y\) are the means of \(\underset{\sim }{X}\) and \(\underset{\sim }{Y}\) respectively. ________ ___ _________ ___ ________ _________ _______ __________ ____.
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