Question: Suppose $x $ is a non negative integer. Define ${{m}\choose {x}}=0$ if $x>m $. Let $\{p_n\}$ be sequence satisfying $0 <p_n <1$ and $\lim\limits_{n\to\infty} np_n=\lambda$. Show that $${{n}\choose {x}}p _n^x (1-p_n)^{n-x}=e^{-\lambda}\frac{\lambda^x}{x!}$$
Is this equivalent to the proof of Poisson Distribution formula ? I am asking this because in the statent ment of Poisson Distribution formula $np$ is constant but here when $n\to\infty $ $np\to $some constant$=\lambda $. Also in the Poisson Distribution Formula $\lim\limits_{n\to\infty} {{n}\choose{x}}p_n^x(1-p_n)^{n-x}=e^{-\lambda}\frac{\lambda^x}{x!}$ but we have to prove for any $n $ there is no limits. So is the proof for the problem and the proof of the Poisson distribution formula same ?
Note: There is no limit in the formula in the problem. We have to prove $${{n}\choose {x}}p _n^x (1-p_n)^{n-x}=e^{-\lambda}\frac{\lambda^x}{x!}$$ not $$\lim\limits_{n\to\infty} {{n}\choose{x}}p_n^x(1-p_n)^{n-x}=e^{-\lambda}\frac{\lambda^x}{x!}$$
$\boxed{\text{Hint}}$
$$\binom{n}{x}p_n^x(1-p_n)^{n-x}=\frac{n!}{x!(n-x)!}\frac{(np_n)^x}{n^x}\frac{(1-np_n/n)^n}{(1-p_n)^x}$$
Since $\lim_{n\rightarrow\infty}np_n=\lambda$, we get $$\boxed{\lim_{n\rightarrow\infty}(1-np_n/n)^n=\lim_{n\rightarrow\infty}(1-\lambda/n)^n=e^{-\lambda}}$$
$$\boxed{\lim_{n\rightarrow\infty}(np_n)^x=\lambda^x}$$ and try to show that $$\boxed{\lim_{n\rightarrow\infty}\frac{n!}{(n-x)!n^x}=1\\\lim_{n\rightarrow\infty}(1-p_n)^x=1}$$