MHB Calculate Upper Bound for $\displaystyle a_{n}$ in Binomial Limit Evaluation

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The limit evaluation of the sum $\lim_{n\rightarrow \infty}\sum^{n}_{k=0}\frac{1}{\binom{n}{k}}$ involves calculating the upper bound for $a_{n}$. It is established that $\binom{n}{k} \geq \binom{n}{2} = \frac{1}{2}n(n-1)$ for $2 \leq k \leq n-2$. This leads to an upper bound estimate for the sum $\sum^{n-2}_{k=2}\frac{1}{\binom{n}{k}}$, which contains $n-3$ terms, each being less than or equal to $\frac{2}{n(n-1)}$. Thus, the upper bound for $a_n$ can be derived from these calculations. The discussion emphasizes the importance of bounding binomial coefficients to evaluate limits effectively.
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Evaluation of $\displaystyle \lim_{n\rightarrow \infty}\sum^{n}_{k=0}\frac{1}{\binom{n}{k}}$ is

I have tried like this way::

Let $\displaystyle a_{n} = \sum^{n}_{k=0}\frac{1}{\binom{n}{k}} = \frac{1}{\binom{n}{0}}+\frac{1}{\binom{n}{1}}+\sum^{n-2}_{k=2}\frac{1}{\binom{n}{k}}+\frac{1}{\binom{n}{n-1}}+\frac{1}{\binom{n}{n}}\geq 2+\frac{2}{n}$

Now I did not understand How can I calculate upper bound for $a_{n}$

Thanks
 
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jacks said:
Evaluation of $\displaystyle \lim_{n\rightarrow \infty}\sum^{n}_{k=0}\frac{1}{\binom{n}{k}}$ is

I have tried like this way::

Let $\displaystyle a_{n} = \sum^{n}_{k=0}\frac{1}{\binom{n}{k}} = \frac{1}{\binom{n}{0}}+\frac{1}{\binom{n}{1}}+\sum^{n-2}_{k=2}\frac{1}{\binom{n}{k}}+\frac{1}{\binom{n}{n-1}}+\frac{1}{\binom{n}{n}}\geq 2+\frac{2}{n}$

Now I did not understand How can I calculate upper bound for $a_{n}$
Notice that ${n\choose k} \geqslant {n\choose 2} = \frac12n(n-1)$ for $2\leqslant k\leqslant n-2$. So the sum $$\sum^{n-2}_{k=2}\frac{1}{n\choose k}$$ has $n-3$ terms, each of which is $\leqslant \frac2{n(n-1)}.$ That gives you an estimate for the upper bound of $a_n.$
 

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