How to Find the CDF and PDF of (X+Y)²?

In summary, to find the CDF F_Z(z) and the PDF f_Z(z) of a new random variable Z=(X+Y)^2, where X and Y are independent random variables, we can first calculate the distribution function for W=X+Y and then the distribution function for Z = W^2. This can also be done by considering W_1=X^2+Y^2 and W_2=2XY and then finding the distribution function for Z=W_1+W_2.
  • #1
EngWiPy
1,368
61
Hi,

Suppose we have two random variables [tex]X[/tex] and [tex]Y[/tex] with CDFs and PDFs [tex]F_X(x)[/tex], [tex]F_Y(y)[/tex], [tex]f_X(x)[/tex], and [tex]f_Y(y)[/tex]. Now suppose that a new random variable formed as [tex]Z=(X+Y)^2[/tex]. How can we find the CDF [tex]F_Z(z)[/tex] and the PDF [tex]f_Z(z)[/tex] of this new random variable? Note: [tex]X[/tex] and [tex]Y[/tex] are independent random variables.

Thanks
 
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  • #2
If you do it in two steps it is straightforward.
First get the distribution function for W=X+Y (convolution of the distribution functions).
Then get the distribution function for the square of a random variable Z = W2.
P(Z < z)=P(-√z < W < √z).
 
  • #3
mathman said:
If you do it in two steps it is straightforward.
First get the distribution function for W=X+Y (convolution of the distribution functions).
Then get the distribution function for the square of a random variable Z = W2.
P(Z < z)=P(-√z < W < √z).

I though in it in another way:

[tex]W_1=X^2+Y^2[/tex] and [tex]W_2=2XY[/tex], then [tex]Z=W_1+W_2[/tex]. Your approach seems easier.
 

FAQ: How to Find the CDF and PDF of (X+Y)²?

1. What is the "PDF of the Square of Sum"?

The PDF of the Square of Sum is a mathematical function that describes the probability distribution of the sum of two independent random variables squared. It is often used in statistics and probability to model the behavior of complex systems.

2. How is the "PDF of the Square of Sum" calculated?

The PDF of the Square of Sum is calculated by taking the convolution of the PDFs of the individual random variables. This means that the values of the two PDFs are multiplied at each point and then summed over all possible values.

3. What is the significance of the "PDF of the Square of Sum" in scientific research?

The "PDF of the Square of Sum" is important in scientific research as it allows for the modeling and analysis of complex systems that involve multiple random variables. It can help researchers understand the behavior and variability of these systems and make predictions about their outcomes.

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5. Are there any limitations to using the "PDF of the Square of Sum"?

One limitation of the "PDF of the Square of Sum" is that it assumes the random variables are independent. This may not always be the case in real-world scenarios. Additionally, the calculation of the convolution can be complex and time-consuming, making it difficult to apply in certain situations.

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