Math Problem Statement
Let ( X , Y ) ∼ Uniform ( D ) (X,Y)∼Uniform(D), where D :
{ 3 X
Y , 0 < x < 1 , y
0 } D:={3X>Y,0<x<1,y>0}
1 point Find the joint density of X X and Y . Y.
f X Y ( x , y )
{ 3 2 for 0 < x < 1 , 0 < y < 3 x 0 otherwise f XY (x,y)= ⎩ ⎨ ⎧
2 3
0
for 0<x<1,0<y<3x otherwise
f X Y ( x , y )
{ 2 3 for 0 < x < 1 , 0 < y < 3 x 0 otherwise f XY (x,y)= ⎩ ⎨ ⎧
3 2
0
for 0<x<1,0<y<3x otherwise
f X Y ( x , y )
{ 2 3 for 0 < x < 1 , y
3 x 0 otherwise f XY (x,y)= ⎩ ⎨ ⎧
3 2
0
for 0<x<1,y>3x otherwise
f X Y ( x , y )
{ 2 3 for 0 < x < 1 , y
0 0 otherwise f XY (x,y)= ⎩ ⎨ ⎧
3 2
0
for 0<x<1,y>0 otherwise
Solution
To find the joint density of given the specified region , we follow these steps:
-
Identify the region : The region is given by:
This implies that must be less than for .
-
Determine the area of region : Since and are uniformly distributed over the region , we need to compute the area of to find the joint density. The region is bounded by the lines , , , and .
The area of this triangular region can be calculated as: Evaluate the inner integral first: Now, integrate with respect to :
Therefore, the area of is .
-
Find the joint density: Since is uniformly distributed over , the joint density function is constant within and zero outside of . The constant value is the reciprocal of the area of .
Thus, the joint density is:
\frac{2}{3} & \text{if } 0 < x < 1 \text{ and } 0 < y < 3x \\ 0 & \text{otherwise} \end{cases}$$
Therefore, the correct joint density function is:
\frac{2}{3} & \text{for } 0 < x < 1 \text{ and } 0 < y < 3x \\ 0 & \text{otherwise} \end{cases}$$ Would you like more details or have any questions? Here are some related questions to consider: 1. How do we find the marginal densities $$f_X(x)$$ and $$f_Y(y)$$? 2. What is the expectation $$E[X]$$ for this distribution? 3. How can we find the covariance $$\text{Cov}(X, Y)$$ of this distribution? 4. What is the conditional density $$f_{Y|X}(y|x)$$? 5. Can we determine if $$X$$ and $$Y$$ are independent? 6. How do we compute the cumulative distribution function (CDF) $$F_{XY}(x, y)$$? 7. How would the density change if the region $$D$$ was different, e.g., $$2X > Y$$ instead of $$3X > Y$$? 8. What are some real-world examples of distributions similar to this one? **Tip**: When dealing with joint distributions, always check the bounds of the variables and the region they cover to correctly identify the support of the density function.Ask a new question for Free
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Math Problem Analysis
Mathematical Concepts
Probability Theory
Joint Probability Density Function
Formulas
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Theorems
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Suitable Grade Level
Advanced Undergraduate
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