Help with computing density of one variable change.

AI Thread Summary
The discussion centers on calculating the density function fy(y) for the variable Y, defined as Y = X^(1/3), where X has a density function fx(x) = 1/x^2 for x > 1. An initial attempt to derive fy(y) leads to confusion regarding the integration limits and probabilities. A proposed answer, fy(y) = 3y^4 for y > 1, is challenged due to its improper normalization, as it integrates to infinity rather than one. Participants suggest focusing on the cumulative distribution function F(y) to properly relate Y back to the distribution of X. The conversation emphasizes the importance of ensuring that the resulting density function is valid and normalized.
sneaky666
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Let X have density function fx(x)=1/x^2 for x>1, otherwise fx(x)=0.
Let Y=X^(1/3). Compute the density function fy(y) for Y.

my attempt
------------
P(X<=1)=0
P(Y^3<=1)=P(Y<=1)=0

P(1<x<inf)=P(1<Y^3<inf)
=1-P(Y<1)

i am stuck here.


The answer to this is
fy(y) = 3y^4 for y>1 and 0 for y<= 1
 
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hi sneaky666! :smile:

(try using the X2 and X2 icons just above the Reply box :wink:)
sneaky666 said:
Let X have density function fx(x)=1/x^2 for x>1, otherwise fx(x)=0.
Let Y=X^(1/3). Compute the density function fy(y) for Y.

The answer to this is
fy(y) = 3y^4 for y>1 and 0 for y<= 1

No, that answer is wrong: ∫1 3y4 dy = ∞, and it should be 1. :wink:
 
If you want the distribution function begin looking at

<br /> F(y) = P(Y \le y)<br />

and use the definition of Y to get this into a form that involves the distribution of X.
 
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