Probability Distribution function change of variables.

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Homework Help Overview

The discussion revolves around finding the distribution function F_Y of a random variable Y, which is defined based on another random variable X with a given distribution function F_X. The transformation of Y from X involves multiple conditions based on the value of X, creating a piecewise function for both Y and F_X.

Discussion Character

  • Mixed

Approaches and Questions Raised

  • Participants explore the relationship between the distribution functions of X and Y, questioning whether to differentiate F_X to find the probability density function (pdf) or to change it into a probability mass function (pmf).
  • Some participants express uncertainty about how to handle the discontinuities in F_X and how they affect the integration needed to find F_Y.
  • There are discussions about splitting F_Y into discrete and continuous parts and concerns about the validity of the resulting probabilities.

Discussion Status

The conversation is ongoing, with participants sharing their attempts to derive the pdf of X and subsequently F_Y. Some have made progress in their calculations, while others are seeking clarification on handling discontinuities and ensuring the total probability sums to one. There is no explicit consensus on the correct approach yet.

Contextual Notes

Participants note that the original distribution function F_X is not continuous, which may impact the methods used to derive F_Y. There are also indications of imposed homework rules that require a specific format for the solution, including the need to separate discrete and continuous components of the distribution.

tomtom690
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Homework Statement


I have been given the distribution function F_X of the random variable X and I am asked to find the distribution function F_Y of Y, another random variable which is defined from X in the following way.

Y={\stackrel{X^{2} if X<2;}{4 if 2\leq X < 3;}\stackrel{4(4-X) if 3\leq X < 4;}{0 if X\geq 4}

The distribution function of X is the following:

F_X (x)={\stackrel{0 if x<1;}{\frac{x+1}{10} if 1 \leq x < \frac{3}{2};}\stackrel{\frac{1}{3}(x-\frac{1}{2}) if \frac{3}{2} \leq x < \frac{5}{2};}{1 if \frac{5}{2} \leq x}
I really have very little idea of how to start this, so any pointers at all would be brilliant. I have done a similar question to this before, but then did not start with the distribution, but rather the probability mass function. And we had to find something different at the end as well.



Homework Equations





The Attempt at a Solution


As I said, I'm not entirely sure.
Something has to be done to change it into P_X I think. But I don't know how to do this.
Or should I differentiate F to get f, the density function?
But then what do I do?

Any help would be greatly appreciated.
Many thanks in advance.


After having previewed the post, it is clear that the stacking brackets thing hasn't worked. Please read it as Y having 4 conditions, and the F_X also having 4 conditions. I hope this is clear. The symbols for the imaginary i and the function f together should in fact simply read "if" ie Y= X^2 if X<2.
 
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Fixed your LaTeX. You can click on the image to see the code I used.
tomtom690 said:

Homework Statement


I have been given the distribution function FX of the random variable X and I am asked to find the distribution function FY of Y, another random variable which is defined from X in the following way.

Y(x) = \left\{<br /> \begin{array}{ll}<br /> x^2 &amp; x&lt;2 \\<br /> 4 &amp; 2 \leq x &lt; 3 \\<br /> 4(4-x) &amp; 3 \leq x &lt; 4 \\<br /> 0 &amp; x \geq 4<br /> \end{array}<br /> \right.

The distribution function of X is the following:

\renewcommand{\arraystretch}{1.3}<br /> F_X(x) = \left\{<br /> \begin{array}{ll}<br /> 0 &amp; x&lt;1 \\<br /> \frac{x+1}{10} &amp; 1 \leq x &lt; \frac{3}{2} \\<br /> \frac{1}{3}(x-\frac{1}{2}) &amp; \frac{3}{2} \leq x &lt; \frac{5}{2} \\<br /> 1 &amp; \frac{5}{2} \leq x<br /> \end{array}<br /> \right.

I really have very little idea of how to start this, so any pointers at all would be brilliant. I have done a similar question to this before, but then did not start with the distribution, but rather the probability mass function. And we had to find something different at the end as well.



Homework Equations





The Attempt at a Solution


As I said, I'm not entirely sure.
Something has to be done to change it into P_X I think. But I don't know how to do this.
Or should I differentiate F to get f, the density function?
But then what do I do?

Any help would be greatly appreciated.
Many thanks in advance.


After having previewed the post, it is clear that the stacking brackets thing hasn't worked. Please read it as Y having 4 conditions, and the F_X also having 4 conditions. I hope this is clear. The symbols for the imaginary i and the function f together should in fact simply read "if" ie Y= X^2 if X<2.
FX(x) is not continuous. Are you sure it's defined correctly?
 
Last edited:
Yes. I think that may be the point of the question. Does it mean I can´t do it then? As the next part of the question asks me to split up the F_Y into the discrete and continuous parts- ie F = \lambdaF_1 +(1-\lambda)F_2
Which means it probably isn't continuous in the first place...?
Thanks.
 
I just thought it was kind of unusual. I'd probably start by finding the pdf of X.
 
OK I´ve managed to get slightly further on this..I think. I'm afraid you'll have to bear with the lack of Latex, as this computer I am at now doesn´t support it for some reason.
So I found the pdf to be
f_X(x) = 0 if x<1
1/10 if 1<=x<3/2
1/3 if 3/2<=x<5/2
0 if x>=5/2

Next, given that Y=g(X) as defined before, I can say that X=sqrt(Y) , X=0, X=(16-Y)/4, and X=0

To find the distr function F_Y(y), which is P(Y<=y) I can say that working in the interval [0,4) , F_Y(y) = P(0<x<=sqrt(y))+P(x>=(16-y)/4)

Now to do this I know you need to integrate, and then do some adding, because on this interval the pdf of x is both 1/10 and 1/3, but I am unsure of the limits of integration...
I think it should be "integrate '1/10' between 1 and (sqrt(y))" + "integrate '1/10' between (16-y)/4 and 5/2" and then the same for 1/3.

Then F_Y(y) = 0 if y<0
"the answer to the above" if 0<=y<4
1 if y>=4

Is this correct? Or have I made some stupid mistake somewhere...?

However, next, I have to split it into the discrete and continuous dist functions, as I mentioned earlier, however using the dist above, I get P_F({0}) = -13/20 which I'm pretty sure is not allowed...

And then I don't really know where to go from there.

Thanks again, and sorry for such a long waffley reply!
 
tomtom690 said:
OK I´ve managed to get slightly further on this..I think. I'm afraid you'll have to bear with the lack of Latex, as this computer I am at now doesn´t support it for some reason.
So I found the pdf to be
f_X(x) = 0 if x<1
1/10 if 1<=x<3/2
1/3 if 3/2<=x<5/2
0 if x>=5/2
That's not complete. If you integrate that function, it doesn't come out to be 1. You need to account for the discontinuities in FX.
 
Sorry I have no idea how to do that! I'm not sure I've ever been taught it. Though obviously it is necessary to do this question! Could you explain how, please, or point me in the direction of somewhere that can? Thanks very much!
 
Hint: The discontinuities have to do with the discrete probabilities.
 

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