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 and
is symmetric.
(b) If is a p-variate normal random vector, then every linear combination
where
is a scalar vector, is also p-variate normal vector.
(c) The trace of matrix is 9.
(d) If a matrix is positive definite then its inverse is also positive definite.
(e) If
and
then
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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