Suppose that $Y \sim Beta(n, 1)$. I am interested in showing that
$$ \frac{1}{n}log\int_{Y}^1 x^{-n}e^{-(x-1)^{-2}}dx $$
converges in probability to $-\infty$. (I was told in a book this is true)
My set-up is to show for $K>0$:
$$ \lim_{n \to \infty}P\left(\frac{1}{n}log\int_{Y}^1 x^{-n}e^{-(x-1)^{-2}}dx <-K\right) = 1 $$
Now,
\begin{align}
P\left(\frac{1}{n}log\int_{Y}^1 x^{-n}e^{-(x-1)^{-2}}dx
<-K\right) &= P\left(\int_{Y}^1 x^{-n}e^{-(x-1)^{-2}}dx
Above, my 2nd to 3rd inequality was obtained as $x^{-n}e^{-(x-1)^{-2}}$ is bounded below by $x^{-1}e^{-(x-1)^{-2}}$, hence the terms inside the probability for $x^{-n}e^{-(x-1)^{-2}}$ is a subset of the terms inside the probability for $x^{-1}e^{-(x-1)^{-2}}$.
The same for my 3rd to 4th inequality.
Applying the limit, the entire probability term goes to $0$. Hence:
$$ \lim_{n \to \infty}P\left(\frac{1}{n}log\int_{Y}^1 x^{-n}e^{-(x-1)^{-2}}dx <-K\right) = 0 $$
which is different from the result above. Does anyone know where I might have messed up? Thanks.