Compute $\lim_{n\to\infty} (1+n+n^2)^{\frac{1}{n}}$.

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Compute $\lim_{n\to\infty} (1+n+n^2)^{\frac{1}{n}}$.

Specifically how to apply the binomial theorem to the function that we are taking the limit of? My calculus professor says we need to make use of the binomial theorem.

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0
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The following is a variation on the standard proof that $n^{1/n} \to 1$ as $n \to \infty$. And you can see that the usual binomial theorem for positive integral index is used here in a crucial manner.


You can observe that $1 + n + n^{2} > 1$ and hence $(1 + n + n^{2})^{1/n} > 1$ and therefore if we set $(1 + n + n^{2})^{1/n} = 1 + x_{n}$ then $x_{n} > 0$. So we have $$1 + n + n^{2} = (1 + x_{n})^{n} = \sum_{r = 0}^{n}\binom{n}{r}x_{n}^{r}$$ Since $x_{n} > 0$ it is obvious that if we just take any specific term in the binomial expansion on RHS then this single term is less than the whole binomial sum and hence less than $1 + n + n^{2}$. Taking the term corresponding to $r = 3$ we get $$\binom{n}{3}x_{n}^{3} < 1 + n + n^{2}$$ for all $n \geq 3$ or $$0 < x_{n}^{3} < \frac{6(1 + n + n^{2})}{n(n - 1)(n - 2)}$$ and by Squeeze Theorem we get $$\lim_{n \to \infty}x_{n}^{3} = 0$$ and using continuity of $f(x) = x^{1/3}$ we see that $$\lim_{n \to \infty}x_{n} = 0$$ and hence $$\lim_{n \to \infty}(1 + n + n^{2})^{1/n} = \lim_{n \to \infty}(1 + x_{n}) = 1$$

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The binomial theorem seems to me less important than this well-known limit:

$n^{\frac{1}{n}}\rightarrow 1$

Do you see how to proceed from here?

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hint: $1 < 1+\dfrac{1}{n} + \dfrac{1}{n^2} < 3$

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Consider $$A_n= (1+n+n^2)^{\frac{1}{n}}\implies \log(A_n)=\frac 1n \log(1+n+n^2)=\frac 1n \left(\log(n^2)+\log(1+\frac 1 n+\frac 1 {n^2})\right)$$ Now, using for small values of $x$ $$\log(1+x)=x-\frac{x^2}{2}+O\left(x^3\right)$$ replace $x$ by $\frac 1 n+\frac 1 {n^2}$ (here will appear the binomial expansion).

This gives $$\log(1+\frac 1 n+\frac 1 {n^2})=\frac{1}{n}+\frac{1}{2 n^2}+O\left(\frac{1}{n^3}\right)$$ So $$\log(A_n)=\frac 1n \left(2\log(n)+ \frac{1}{n}+\frac{1}{2 n^2}+O\left(\frac{1}{n^3}\right)\right)=2\frac{\log(n)}{n}+\frac 1 {n^2}+O\left(\frac{1}{n^3}\right)$$

I am sure that you can take it from here.