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I am struggling finding the right bounds on integration when I try solve the following:

$X_1 \sim U[0,1]$; $ X_2\sim U[1,2]$.

$Y_1 = X_1 X_2$

$Y_2 = X_1$

I want to find $f_{Y_1}$.

I have gotten to the point where I have:

$x_1 = y_2$.

$x_2=\frac{y_1}{y_2}$.

$f_{Y_1,Y_2} (y_1,y_2)= \frac{1}{y_2}$.

$x_1 \geq 0: y_2\geq0$

$x_1\leq1: y_2\leq1$

$x_2\geq1: y_2\leq y_1$

$x_2\leq2: y_2\geq \frac{y_1}{2}$

Putting this together I have for:

$0\leq y_1 \leq 1$ -> $0 \leq \frac{y_1}{2} \leq {y_2} \leq y_1$

$1\leq y_1 \leq2$ -> $ \frac{y_1}{2} \leq {y_2} \leq 1$

Which to me suggests that

$f_{Y_1}(y_1) = \int_{\frac{y_1}{2}}^{y_1} \frac{1}{y_2} dy_2 + \int_{\frac{y_1}{2}}^1\frac{1}{y_2} dy_2 = ln(y_1)-2ln(\frac{y_1}{2}) = ln(4y_1)$

However, $\int_0^2 f_{Y_1}(y_1)dy_1$ does not integrate to 1 which indicates that I have messed something up. I would appreciate any pointer to where I have gone wrong.

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  • $\begingroup$ $f_{Y_1,Y_2}(y_1,y_2)$ is wrong . How did you get $\frac 1 {y_2}$? $\endgroup$ Commented Sep 7, 2022 at 8:26
  • $\begingroup$ $f_{Y_1,Y_2}(y_1,y_2)= f_{X_1,X_2}(x_1(y_1,y_2),x_2(y_1,y_2))|J|$. $X_1$ and $X_2$ are independent RVs with $f_{X_i}=1$, so $ f_{X_1,X_2}(x_1(y_1,y_2),x_2(y_1,y_2)) =1$, and the Jacobian is $1/y_2$. $\endgroup$
    – Boaten
    Commented Sep 7, 2022 at 8:34
  • $\begingroup$ Your $f_{Y_1,Y_2} (y_1,y_2)$ does not integrate to $1$ so you have a problem right in the beginning. $\endgroup$ Commented Sep 7, 2022 at 8:56
  • $\begingroup$ Okay. I see your point. I did the same approach for $X_2 \sim U[0,1]$ and got the right correct $f_{y_1}$. I also then got the $f_{Y_1,Y_2}$ as I have above. I will take another crack at it. $\endgroup$
    – Boaten
    Commented Sep 7, 2022 at 10:22
  • $\begingroup$ I found my answer to $f_{Y_1}$ but I had to go another route. $\endgroup$
    – Boaten
    Commented Sep 7, 2022 at 11:34

1 Answer 1

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I found my answer to $f_{Y_1}$ but I had to go another route.

I instead used:

$F_{Y_1}(y_1) = \int_{x_2=1}^1Pr(X_1<\frac{y_1}{x_2})f_{X_2}dx_2$.

For $0\leq y_1\leq1$: $y_1\int_1^2\frac{1}{t}dt = y_1ln(2)$.

For $1\leq y_1\leq2$: $\int_1^{y_1}dt + y_1\int_{y_1}^2\frac{1}{t}dt = (y_1-1)+y_1ln(\frac{2}{y})$.

So

$f_{Y_1}(y_1)=\begin{cases} ln(2) \text{ for }y_1\in[0,1] \\ ln(\frac{2}{y_1}) \text{ for } y_1\in[1,2] \end{cases}$

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