15
$\begingroup$

Is there any distribution for two i.i.d. random variables $X,Y$ where the joint distribution of $X-Y$ is uniform over support [0,1]?

$\endgroup$
4
  • 4
    $\begingroup$ If Y is ever (with positive probability) > X, then X-Y < 0, so it can't be U[0,1]. If X and Y are iid, how can Y be guaranteed (i.e., with probability 1) to not be > X unless X and Y are both the same constants with probability 1. In such case X - Y will equal 0 with probability 1. Therefore, there exists no iid X and Y such that X - Y is U[0,1]. Do you see a flaw in my reasoning? $\endgroup$ Aug 11, 2016 at 12:05
  • $\begingroup$ @CagdasOzgenc, note that X and Y are i.i.d., so they have the same marginal distribution. $\endgroup$ Aug 11, 2016 at 12:16
  • 4
    $\begingroup$ I think the word joint should be omitted. You are talking about the univariate distribution of $X-Y$, aren't you? $\endgroup$ Aug 11, 2016 at 12:32
  • 1
    $\begingroup$ This is nearly identical to stats.stackexchange.com/questions/125360, but with $X+Y$ replaced by $X-Y$ (which appears to make the solution easier). I believe Silverfish's answer in that thread applies directly to this one. $\endgroup$
    – whuber
    Aug 11, 2016 at 13:01

2 Answers 2

19
$\begingroup$

No.

If $Y$ is ever (with positive probability) $> X$, then $X - Y < 0$, so it can't be $U[0,1]$. If $X$ and $Y$ are iid, $Y$ can not be guaranteed (i.e., with probability $1$) to not be $> X$ unless $X$ and $Y$ are both the same constants with probability 1. In such case $X - Y$ will equal $0$ with probability $1$. Therefore, there exists no iid $X$ and $Y$ such that $X - Y$ is $U[0,1]$.

$\endgroup$
9
$\begingroup$

No.

For any i.i.d. $X$ and $Y$ the distribution of their difference is invariant under sign-change, $X - Y \overset{d}{\sim} Y - X$, and thus symmetric around zero, something $U[0, 1]$ is not.

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge that you have read and understand our privacy policy and code of conduct.

Not the answer you're looking for? Browse other questions tagged or ask your own question.