Give a joint density function of random variables X and Y as followsFind the marginal density of X
Answers
Answer:
Figure 5.8(a) shows RXY in the x−y plane.
The figure shows (a) RXY as well as (b) the integration region for finding P(Y<2X2) for Solved Problem 1.
To find the constant c, we write
1=∫∞−∞∫∞−∞fXY(x,y)dxdy=∫10∫1−x0cx+1dydx=∫10(cx+1)(1−x)dx=12+16c.
Thus, we conclude c=3.
We first note that RX=RY=[0,1].
fX(x)=∫∞−∞fXY(x,y)dy=∫1−x03x+1dy=(3x+1)(1−x), for x∈[0,1].
Thus, we have
fX(x)=⎧⎩⎨⎪⎪(3x+1)(1−x)00≤x≤1otherwise
Similarly, we obtain
fY(y)=∫∞−∞fXY(x,y)dx=∫1−y03x+1dx=12(1−y)(5−3y), for y∈[0,1].
Thus, we have
fY(y)=⎧⎩⎨⎪⎪12(1−y)(5−3y)00≤y≤1otherwise
To find P(Y<2X2), we need to integrate fXY(x,y) over the region shown in Figure 5.8(b). We have
P(Y<2X2)=∫∞−∞∫2x2−∞fXY(x,y)dydx=∫10∫min(2x2,1−x)03x+1dydx=∫10(3x+1)min(2x2,1−x)dx=∫1202x2(3x+1)dx+∫112(3x+1)(1−x)dx=5396.
To find the marginal density of X, we need to integrate the joint density function over all possible values of y:
However, since the joint density function is zero outside the region 0 ≤ x ≤ 1, 0 ≤ y ≤ 2, we only need to integrate over this region:
Therefore, the marginal density of X is: