I have to show that
$(1-\frac{t^2}{2r}+O(r^{-\frac{3}{2}}))^{-r}\rightarrow e^{\frac{t^2}{2}}$ as $r\rightarrow\infty$
I have expanded the given expression like below:
$(1-\frac{t^2}{2r}+O(r^{-\frac{3}{2}}))^{-r}$
$= (1-\frac{t^2}{2r})^{-r} - rO(r^{-\frac{3}{2}})(1-\frac{t^2}{2r})^{-r-1} + \binom{r+1}{2}(O(r^{-\frac{3}{2}}))^2(1-\frac{t^2}{2r})^{-r-2}-...$
As $r\rightarrow\infty$,
$(1-\frac{t^2}{2r})^{-r}\rightarrow e^{\frac{t^2}{2}}$
$rO(r^{-\frac{3}{2}})\rightarrow 0$, $\binom{r+1}{2}(O(r^{-\frac{3}{2}}))^2\rightarrow 0$ etc.
But what about the terms $(1-\frac{t^2}{2r})^k, k=-r-1, -r-2,....$
How can I say that they tend to a finite value? Can I say they are finite because $(1-\frac{t^2}{2r})^{-r}$ tends to a finite value(i.e. $e^{\frac{t^2}{2}}$)?