Final answer:
To find the joint pdf of Y1 = X1 X2 and Y2 = X1, we can use the transformation method. The joint pdf of Y1 and Y2 is 1/Y2^4. To find the marginal pdf of Y1, we integrate out Y2 and get -1/3Y2^3.
Step-by-step explanation:
Joint PDF of Y1 and Y2
To find the joint pdf of Y1 = X1 X2 and Y2 = X1, we need to find their respective distributions first. Since X1 and X2 are independent and have pdf fXi(xi) = 1/xi^2 for 1≤xi<[infinity], we can use the transformation method to find the joint pdf of Y1 and Y2:
- Find the transformations from (X1, X2) to (Y1, Y2): Y1 = X1 X2, Y2 = X1
- Find the inverse transformations from (Y1, Y2) to (X1, X2): X1 = Y2, X2 = Y1/Y2
- Find the Jacobian of the inverse transformations: J = |∂(X1, X2)/∂(Y1, Y2)| = |1/Y2 - Y1/Y2^2| = |1/Y2^2|
- Use the Jacobian to find the joint pdf of Y1 and Y2: fY1,Y2(y1, y2) = fX1,X2(x1, x2) * |J| = 1/(Y2^2 * Y2^2) = 1/Y2^4
Marginal PDF of Y1
To find the marginal pdf of Y1, we integrate out Y2 from the joint pdf of Y1 and Y2:
- Integrate fY1,Y2(y1, y2) with respect to Y2: ∫(1/Y2^4) dY2 = -1/3Y2^3
- Because Y2 can take any positive value, the marginal pdf of Y1 is fY1(y1) = -1/3Y2^3