How to prove Poisson Distribution is the approximation of Binomial Distribution? I was reading Introduction to Probability Models 11th Edition and saw this proof of why Poisson Distribution is the approximation of Binomial Distribution when n is large and p is small:
An important property of the Poisson random variable is that it may be used to approximate a binomial random variable when the binomial parameter $n$ is large and $p$ is small. To see this, suppose that $X$ is a binomial random variable with parameters $(n, p),$ and let $\lambda=n p .$ Then
$$
\begin{aligned}
P\{X=i\} &=\frac{n !}{(n-i) ! i !} p^{i}(1-p)^{n-i} \\
&=\frac{n !}{(n-i) ! i !}\left(\frac{\lambda}{n}\right)^{i}\left(1-\frac{\lambda}{n}\right)^{n-i} \\
&=\frac{n(n-1) \cdots(n-i+1)}{n^{i}} \frac{\lambda^{i}}{i !} \frac{(1-\lambda / n)^{n}}{(1-\lambda / n)^{i}}
\end{aligned}
$$
Now, for $n$ large and $p$ small
$$
\left(1-\frac{\lambda}{n}\right)^{n} \approx e^{-\lambda}, \quad \frac{n(n-1) \cdots(n-i+1)}{n^{i}} \approx 1, \quad\left(1-\frac{\lambda}{n}\right)^{i} \approx 1
$$
Hence, for $n$ large and $p$ small,
$$
P\{X=i\} \approx e^{-\lambda} \frac{\lambda^{i}}{i !}
$$
I can understand most part of the proof except for this equation:
$\left(1-\frac{\lambda}{n}\right)^{n} \approx e^{-\lambda}$
I really don't remember where it comes from, could anybody explain this to me? Thanks!.
 A: Well, this is a basic fact of the exponential function $e^x$.
One definition of $e$ is the limit $\lim_{n\to\infty}(1+\frac1n)^n$. By a monotonicity argument one can prove $\lim_{x\to\infty}(1+\frac1x)^x=e$ where $x$ now ranges the real numbers.
Also note that $1-\frac1x=\frac{x-1}x=1/\frac x{x-1}=1/(1+\frac1y)=(1+\frac1y)^{-1}$ where $y=x-1$. 
So, one has the following:
$$\begin{aligned}
\lim_{x\to\infty}(1-\frac1x )^x &= \lim_{y\to\infty}(1+\frac1y )^{-(y+1)} 
\\
&=\lim_{y\to\infty}(1+\frac1y)^{-y}\times\lim_{y\to\infty}(1+\frac1y)^{-1}
\\
&=e^{-1}\times1=e^{-1}\,.
\end{aligned} $$
From here, assuming $\lambda>0$,
$$\begin{aligned}
e^{-\lambda}=(e^{-1})^\lambda &=  \lim_{x\to\infty}(1-\frac1x)^{\lambda x}  &\to{\ z:=\lambda x}
\\
&= \lim_{z\to\infty}(1-\frac\lambda z)^z\,.
\end{aligned} $$
In consequence, we have this limit for every sequence $z_n\to\infty$ written in place of $z$ and limiting on the natural $n\to\infty$. In particular, this also holds for $z_n=n$.
Note that we had to take the turnaround for arbitrary real numbers instead of integers only because of the exponent $\lambda$.
