Finding the Density Function for a Randomly Divided Rod

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trenekas
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Hello. I have problem with one task of probability theory. Hope that someone will be able to help me!

The task:

The rod is dividing in two parts accidentally. (Division is evenly distributed, don't know if its good saying in english). Find the density function of random variable X which is equal to longer part of rod divided by smaller part of rod.

So X can get infinity values i think. The smaller is 1, when rod is divided 0.5/0.5=1. And coming up to infinity when smaller part of rod coming up to 0. for example 0.99/0.01=99... and so on.

I don't know but i think that density function of this X does not exist. Or I am wrong?
 
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HallsofIvy said:
If the shorter length is y, the longer length is 1- y so the function is X= y/(1- y). Further, you seem to be saying that "y" is equally likely to be any number between 0 and 1/2.
I think the task ask to do not the same as you say. I think we need 1-y/y... where 1-y is equal to longer part and y shorter...If i need dividing shorter from longer it much easier. or i don't understand you?
Maybe my opinion that this function does not exist is true?
 
trenekas said:
Hello. I have problem with one task of probability theory. Hope that someone will be able to help me!

The task:

The rod is dividing in two parts accidentally. (Division is evenly distributed, don't know if its good saying in english). Find the density function of random variable X which is equal to longer part of rod divided by smaller part of rod.

So X can get infinity values i think. The smaller is 1, when rod is divided 0.5/0.5=1. And coming up to infinity when smaller part of rod coming up to 0. for example 0.99/0.01=99... and so on.

I don't know but i think that density function of this X does not exist. Or I am wrong?

The parts (u,1-u) have zero probability for u = 0 or u = 1 because the endpoints of the interval [0,1] have zero probability for a continuous distribution. Therefore, we are (with probability 1) never dividing by zero, so a value X = ∞ has probability 0. We can even change to the open interval u ε (0,1), and so division by zero never happens---not even with probability zero. So, X does have a well-defined density function. Having X unbounded above is not a problem---lots of random variables are unbounded above, below, or both, and we deal with them with no problem. Of course, there is the issue of whether or not X has finite mean and/or variance, etc, but that is a separate question from the existence of a density for X.
 
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But can't invent what this function shuold be. Maybe some hints? I thought more than an hour and have no idea.
 
thank you haruspex. your hint was very helpfull. :smile: