Question #252302

if X and Y are random variables such that Var(X)<and Var(Y)<,show that

Var(aX+bY)=a2Var(X)+b2Var(Y)+2ab cov(X,Y). Where a and b are real constants.


1
Expert's answer
2021-10-27T14:12:48-0400

E[(aX+by)(aμX+bμY)]2=E[a(XμX)+b(YμY)]2=E[a(XμX)]2+E[2ab(XμX)(YμY)]+E[b(YμY)]2=a2Var⁡(X)+2abCov⁡(X,Y)+b2Var⁡(Y)=a2Var⁡(X)+b2Var⁡(Y)+2abCov⁡(X,Y)E{[(aX+by)-(aμ_X+bμ_Y )]^2 }=E{[a(X-μ_X )+b(Y-μ_Y )]^2 } \\=E{[a(X-μ_X )]^2 }+E{[2ab(X-μ_X )(Y-μ_Y )]}+E{[b(Y-μ_Y )]^2 } \\=a^2 \text{Var⁡(X)}+2ab\text{Cov⁡(X,Y)}+b^2 \text{Var⁡(Y)} \\=a^2 \text{Var⁡(X)}+b^2 \text{Var⁡(Y)}+2ab\text{Cov⁡(X,Y)}


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