Question: Let X = (X 1 , ...,X k ) be a random vector with a covariance matrix C, and t = (t 1 , ...,

Let X = (X1, ...,Xk) be a random vector with a covariance matrix C, and t = (t1, ..., tk) and ˜t= (˜t1, ..., ˜tk) be two non-random vectors. Consider two linear combinations: ⟨X, t⟩ and ⟨X,˜t⟩. Generalizing (2.1.4), prove that Cov{⟨X, t⟩, ⟨X,˜t⟩} = ⟨Ct,˜t⟩. Can we switch t and˜t in the r.-h.s. of this formula? Why?Let X = (X1, ...,Xk) be a random vector with a covariance

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