[Math] Limit of Binomial distribution

fake-proofslimitsprobability distributions

In showing us that Binomial distribution: $$B_{N,p}(n) := \binom {N}{n} p^n(1-p)^{N-n}$$ tends to Poisson's: $$P_ \lambda (n) = \dfrac {\lambda ^n}{n!}e^{-\lambda}$$where I guess lambda should be defined as $\lambda:=\lim _N Np$ (it is the limit of the expected value of $\cal B$), my (mechanics) teacher did something i don't understand: he substituted $p=\frac {\lambda}{N}$ before evaluating the limit as $N$ goes to infty. Is this correct? If $\lambda$ is defined as I said above, then I think it isn't, for it must be calculated inside the limit substituting $p=\frac {Np}{N}$. Also, the simplification makes the computation of the limit much easier, so maybe that's why he did it.
Note: I'm not looking for a full demonstration, I just want to know if the procedure of my teacher is correct.
Related question: How would you prove $\lim _N (1-p)^N=e^{-\lambda}$, given $ \lim _N Np =\lambda \in \mathbb R $? Using the result: $$\lim _{N\rightarrow +\infty} (1+\frac{1}{N})^N = e$$ my attempt was:

$$(1-p)^N=\left[\left(1-\dfrac{Np}{N}\right)^{-\frac{N}{Np}}\right]^{-Np}=\exp\left\{-Np\cdot\ln\left[\left(1-\dfrac{Np}{N}\right)^{-\frac{N}{Np}}\right]\right\}$$

$$\ell = \exp\left\{-\lim_{N\rightarrow+\infty}Np\cdot\ln\left[\lim_{N\rightarrow+\infty}\left(1-\dfrac{Np}{N}\right)^{-\frac{N}{Np}}\right]\right\}=e^{-\lambda}.$$

Notice that this is not immediate since $p=f(n)$.

Best Answer

What he's proving is a weaker result that says if $p=\lambda/N$ then $\displaystyle\binom N n p^n(1-p)^{N-n}\to\frac{\lambda^n e^{-\lambda}}{n!}$ as $N\to\infty$. That is of interest in its own right, but what is proved is less than what would have been proved if the assumption had been that $Np\to\lambda$ rather than $Np=\lambda$.

The other result you ask about is that $$ \left(1-\frac\lambda N\right)^N \to e^{-\lambda}\text{ as }N\to\infty. $$ That's usually stated in calculus texts in something like the following form $$ \lim_{N\to\infty}\left(1+\frac x N\right)^N = e^x.\tag{1} $$ And at this point I'm realizing that the really short and simple proof of this that I might have posted is not sufficiently organized in my mind to make it look as short and simple as it is without some further thought. Maybe later. However, $(1)$ is a standard result in calculus that you should be aware of, and that is probably considered part of the prerequisite material for the course you're in.