Probability Density Function of a Quadratic Equation

In summary, the conversation discusses how to calculate a PDF of y, a quadratic equation dependent on X, where X follows a normal distribution. The process involves completing the square and using a scaled and translated noncentral chi-square distribution. An alternate approach is to calculate the characteristic function, but it is not as straightforward.
  • #1
zudhirsharma
1
0
HI Can anybody tell me how to calculate a PDF of y, where y is a function of x, such that
y = a X*X + bX + C (i.e. a quadratic equation), and X follows the Normal Distribution X ~N(0, sigma)

Help anybody?
Thanks
 
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  • #2
A rough (as in I haven't stepped through all of the work in the detail you'd need to turn in on an assignment).

First, complete the square to write your quadratic in [tex] X [/tex] as

[tex]
a(X + B)^2 + C
[/tex]

(note that [tex] B, C [/tex] are not the same numbers as the [tex] b, c [/tex] in your post.

Since [tex] X \sim \text{n}(0,\sigma^2) [/tex] we can say

[tex]
\begin{align*}
X + B & \sim \text{n}(B,\sigma^2)\\
(X+B)^2 & \sim \chi^2(\delta)\\
\intertext{(non-central chi-square)}
\end{align*}
[/tex]

In the end the expression the distribution

[tex]
a(X+B)^2 + C
[/tex]

can be described as a scaled (because of the multiplication by [tex] a [/tex]) and translated (due to the addition of [tex] C [/tex]) noncentral chi-square. There is no name for this.

An alternate approach would be to attempt to calculate the characteristic function for your quadratic expression, then attempt inverting. I looked at that: it seemed less than exciting.
 

1. What is a probability density function (PDF)?

A probability density function is a mathematical function that describes the probability of a continuous random variable falling within a certain range of values. It is used to model the likelihood of different outcomes occurring in a given scenario.

2. How is a PDF related to a quadratic equation?

A quadratic equation is a polynomial equation of degree 2, which means it can take on a range of values. The probability density function of a quadratic equation represents the likelihood of different values being chosen from the set of possible solutions to the equation.

3. How is a PDF calculated for a quadratic equation?

The PDF of a quadratic equation is calculated using the standard formula for a continuous probability distribution. It involves finding the area under the curve of the quadratic equation, which can be done using integration techniques.

4. What is the significance of the PDF in a quadratic equation?

The PDF of a quadratic equation allows us to understand the likelihood of different outcomes occurring and make predictions based on this information. It also helps us to analyze and compare different quadratic equations to determine which one has a higher or lower probability of producing certain values.

5. How does the shape of a quadratic equation affect its PDF?

The shape of a quadratic equation will determine the shape of its PDF. A quadratic equation with a wider curve will have a broader and flatter PDF, indicating a higher likelihood of a wider range of values occurring. On the other hand, a quadratic equation with a narrow curve will have a taller and narrower PDF, indicating a higher likelihood of a smaller range of values occurring.

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