ProbSetSeven - Solutions to PS 7 Probability for...

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Unformatted text preview: Solutions to PS 7 Probability for Engineering Applications (PEA), ECSE 4500, Spring 2010 3.28 X and Y are given to be jointly Gaussian random variables. Consider two other random variables given by the relation Z = g ( X, Y ) = X 2 + Y 2 , and W = h ( X ) = X. The first step to find the joint pdf of Z and W is to find the roots of the equations z = g ( x, y ) and w = h ( x ). The real roots of these wo equations are give by R 1 = ( x 1 , y 1 ) and R 2 = ( x 2 , y 2 ). R 1 : x 1 = w, y 1 = √ z- w 2 . R 2 : x 2 = w, y 2 =- √ z- w 2 . Note that | w | < √ z , and z > 0. The Jacobian is given by J = vextendsingle vextendsingle vextendsingle vextendsingle vextendsingle ∂g ∂x ∂g ∂y ∂h ∂x ∂h ∂y vextendsingle vextendsingle vextendsingle vextendsingle vextendsingle = vextendsingle vextendsingle vextendsingle vextendsingle 2 x 2 y 1 vextendsingle vextendsingle vextendsingle vextendsingle = 2 y. The magnitude of the Jacobian at the two roots are | J 1 | = | 2 y 1 | = 2 √ z- w 2 and | J 2 | = | 2 y 2 | = 2 √ z- w 2 . Now the joint pdf of Z and W is given by f ZW ( z, w ) = 2 summationdisplay i =1 f XY ( x i , y i ) J i = 1 2 √ z- w 2 bracketleftBig f XY ( w, √ z- w 2 ) + f XY...
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This note was uploaded on 04/15/2010 for the course ECSE 4500 taught by Professor Woods during the Spring '08 term at Rensselaer Polytechnic Institute.

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ProbSetSeven - Solutions to PS 7 Probability for...

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