Let the r.v.s X and Y have the Bivariate Normal distribution with parameters μ 1 , μ

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Let the r.v.s X and Y have the Bivariate Normal distribution with parameters μ1, μ2ˆˆ R,0 < σ1, σ2< ˆž, and p ˆˆ [-1, 1], and set U = X + Y, V = X - Y.

(i) Verify that É›U = μ1 + μ2, Var(U) = σ21 + a22 + 2pσ1σ2,É›V = μ1 €“ μ2, Var(V) = σ12 + σ22 - 2p σ1 σ2, and Cov(U, V) = σ12 €“ σ2(by using Exercises 12 (ii) and 14

(ii) in Chapter 9).

(ii) Since

fu,v (t1, 12) = EeiiU +izV = Eei1(X+Y)+iz(X-Y) = Ee'n+t2)X+i(1-12)Y = fx,y(t1 + 12, t – 12), %3D %3D

use Exercise 15 in order to conclude that

Let the r.v.s X and Y have the Bivariate Normal

(iii) From part (ii) and Exercise 15, conclude that the r.v.s U and V have the Bivariate Normal distribution with parameters μ1 + μ2, μ1 - μ2, σ12 + σ22 + 2p σ1 σ2 = Ï„12 ,σ12 σ2- 2p σ1 σ2 = Ï„22, and p(U, V) = (σ12 €“ σ22) /Ï„1Ï„2.

(iv) From part (iii) and Exercise 12 (ii) in Chapter 10, conclude that U and V are independent if and only if σ1 = σ2.

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