Probability Density Function of a Quadratic Equation

Click For Summary
SUMMARY

The discussion focuses on calculating the Probability Density Function (PDF) of a quadratic equation defined as y = aX² + bX + C, where X follows a Normal Distribution X ~ N(0, σ). The key steps involve completing the square to rewrite the quadratic as a(X + B)² + C, where B is derived from the coefficients of the equation. The resulting distribution can be characterized as a scaled and translated non-central chi-square distribution. An alternative method discussed involves calculating the characteristic function of the quadratic expression.

PREREQUISITES
  • Understanding of quadratic equations and their properties
  • Familiarity with Normal Distribution and its notation
  • Knowledge of non-central chi-square distributions
  • Basic concepts of characteristic functions in probability theory
NEXT STEPS
  • Study the derivation of non-central chi-square distributions
  • Learn about completing the square in quadratic equations
  • Research the properties of characteristic functions in probability
  • Explore applications of PDFs in statistical modeling
USEFUL FOR

Mathematicians, statisticians, and data scientists interested in advanced probability theory and its applications in modeling quadratic relationships.

zudhirsharma
Messages
1
Reaction score
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
 
Physics news on Phys.org
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*}<br /> X + B & \sim \text{n}(B,\sigma^2)\\<br /> (X+B)^2 & \sim \chi^2(\delta)\\<br /> \intertext{(non-central chi-square)}<br /> \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.
 

Similar threads

Replies
4
Views
3K
  • · Replies 2 ·
Replies
2
Views
2K
  • Poll Poll
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 4 ·
Replies
4
Views
2K
  • · Replies 2 ·
Replies
2
Views
1K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K
  • · Replies 4 ·
Replies
4
Views
1K
  • · Replies 1 ·
Replies
1
Views
2K
  • · Replies 3 ·
Replies
3
Views
2K