Polynomial transformation of random variable

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SUMMARY

The discussion focuses on finding the distribution of the transformed random variable f(X) = X^2 + X, where X follows a beta distribution. Participants explored various methods, including the standard transformation theorem and Laplace transformation, but encountered difficulties due to the non-invertibility of the function across its entire domain. A suggested approach involves separating the domains of the function and solving the inequality P(Y < y) = P(X^2 + X < y) to derive the distribution of Y.

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  • Familiarity with transformation theorems in probability
  • Knowledge of solving inequalities involving random variables
  • Basic skills in probability theory and functions of random variables
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raynard
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Homework Statement



Given a random variable X with a known distribution (e.g. a beta distribution), find the distribution of
f(X) = X^2 + X

The Attempt at a Solution



I've tried the normal approaches: the standard transformation theorem; conditioning on X; Laplace transformation, etc. They don't seem to work. Any hints?
 
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Thanks for the reply!

I tried the standard method you described, but I see no easy way to find the inverse of

f: x -> x^2 + x
 
Yup, I don't think it's very pretty...
I have to say, I'm pretty rusty when it comes to probability. I remember the best ways to solve this type of questions is to write Y = X2 + X, and then:
P(Y < y) = P (X2 + X < y) = P(X2 + X - y < 0 ) = ...

Then you'd have to solve this inequality and proceed from there...
But maybe there are shortcuts. I just responded cause I saw no one else did :-)
 

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