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If U is uniform on (0,2)and Z, independent of U, is exponential with rate 1, show directly (without using the results of Example 7b) that X and Y defined by

X=2ZcosUY=2ZsinU

are independent standard normal random variables.

Short Answer

Expert verified

X and Y are independent standard normal variables with density function :

fX,Y(x,y)=12e-x2+y22

Step by step solution

01

Variable : 

The unknown number is represented by a variable, which is an alphabet. It represents the worth of something.

02

Explanation : 

U is uniform on 0,2.

And Z is exponential with rate 1.

Random variables,

localid="1647259877551" X=2ZcosUand Y=2ZsinU

Density function of random vector (U,Z),

localid="1647268595855" fU,Z(u,z)=fU(u)fZ(z)=e-z2

for U(0,2)

And z>0

Now, Apply the transformation,

g:(0,2)(0,)R2

g(u,z)=(x,y)=(2zcos(u),2zsin(u))

By using theorem, the density function of random vector (X,Y)=g(U,Z)as

localid="1647268617715" fX,Y(x,y)=fU,Z(u,z)det(g(u,z))-1

Then calculate,

g(u,z)=-2zsin(u)cos(u)2z2zcos(u)sin(u)2z

det(g(x,y))=-sin2(u)-cos2(u)=-1

Thus,

localid="1647268646133" fX,Y(x,y)=fU,Z(u,z)=e-z2

03

Explanation : 

Now, write z in terms of x and y and substitute it.

But we have,

x=2zcos(u)

That becomes

x2=2zcos2(u)

And

y=2zsin(u)

That becomes

y2=2zsin2(u)

Then sum up these to equalities.

z=x2+y22

That finally implies,

localid="1647268675205" fX,Y(x,y)=e-z2=12e-x2+y22

This probability distribution function can be categorized as

12e-x2+y22=12e-x2212e-y22.

Therefore,

X and Y are independent standard normal variables.

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